Clase 1
Punto 1 Cargar elementos (vectores)
y <- 4
x <- -5
z <- pi
z
## [1] 3.141593
d<- exp(4)
S <- (x+y+z)
S
## [1] 2.141593
Punto 2 Cargar funciones pre-establecidas
y1 <- pi
y1
## [1] 3.141593
z1 <- exp(4)
z1
## [1] 54.59815
Punto 3 Matrices y medidas de tendencia central
x2 <- c(3, -5, 31, -1, -9, 10, 0, 18)
x2
## [1] 3 -5 31 -1 -9 10 0 18
y2 <- c(1, 1, -3, 1, -99, -10, 11, 7)
y2
## [1] 1 1 -3 1 -99 -10 11 7
m3 <- (x2+y2)
m3
## [1] 4 -4 28 0 -108 0 11 25
Media.de.m3 <-mean(m3)
median (m3)
## [1] 2
sd (m3)
## [1] 43.06805
var (m3)
## [1] 1854.857
cov(x2,y2)
## [1] 193.6607
cor(x2,y2)
## [1] 0.4072118
x2[2:7]
## [1] -5 31 -1 -9 10 0
y2[-c(2,4)]
## [1] 1 -3 -99 -10 11 7
y.menores.a.menos.3 <- y2 < -3
y.mayores.a.10 <- y2 > 10
t1<-y2[c(y.menores.a.menos.3)]
t2<-y2[c(y.mayores.a.10)]
t3<-c(t1,t2)
t3
## [1] -99 -10 11
Punto 4 Matrix, Dataframe, armado de base manual
A = matrix(c(1,2,3,4,5,6,7,8,9,10,11,12),nrow=4,"byrow"="true")
A[1,1:3]
## [1] 1 2 3
#Es la primera fila de la Matríz A
A[1:4,2]
## [1] 2 5 8 11
#Es la segunda columna de la Matriz A
A[3,3]
## [1] 9
#Es el elemento que resulta de la inersección de la fila 3, con la columna 3
A[11]
## [1] 9
#Es el mismo elemento, pero contandolo desde la posición desde las columnas
matrix(1:20, nrow = 4, ncol = 5)
## [,1] [,2] [,3] [,4] [,5]
## [1,] 1 5 9 13 17
## [2,] 2 6 10 14 18
## [3,] 3 7 11 15 19
## [4,] 4 8 12 16 20
#El comando "matrix" permite establecer un orden de filas y columnas para los elementos
as.matrix(1:20, nrow = 4, ncol = 5)
## [,1]
## [1,] 1
## [2,] 2
## [3,] 3
## [4,] 4
## [5,] 5
## [6,] 6
## [7,] 7
## [8,] 8
## [9,] 9
## [10,] 10
## [11,] 11
## [12,] 12
## [13,] 13
## [14,] 14
## [15,] 15
## [16,] 16
## [17,] 17
## [18,] 18
## [19,] 19
## [20,] 20
#El comando "as.matrix" no permite establecer filas y columnas, sino que lista los elementos en una unica fila
datos <- as.data.frame(matrix(1:20, nrow = 4, ncol = 5))
datos
## V1 V2 V3 V4 V5
## 1 1 5 9 13 17
## 2 2 6 10 14 18
## 3 3 7 11 15 19
## 4 4 8 12 16 20
#El comando as.data.frame permite identificar las columnas como variables y las filas como casos.
Punto 5 Armado de una base manual
educacion <- factor(c("Lic","Bach","Bach","Bach", "Dr", "MSc"),
levels = c("Lic","Bach","Dr", "MSc"))
datos <- data.frame( Peso = c(76, 67, 55, 57, 87, 48), Edad = c(25, 23, 19, 18, 57, 13), Nivel.Educativo = educacion)
datos
## Peso Edad Nivel.Educativo
## 1 76 25 Lic
## 2 67 23 Bach
## 3 55 19 Bach
## 4 57 18 Bach
## 5 87 57 Dr
## 6 48 13 MSc
Punto 6 Cargando datos de un CSV
setwd("C:/Users/Acer/Desktop/EP_R")
#Directorio donde se alojan los datos
datos1 <- read.csv('EjemploAlgoritmosRecomendacion.csv', header=TRUE, sep=';',dec=',')
datos1
## Nombre VelocidadEntrega Precio Durabilidad ImagenProducto
## 1 Adam 2.05 0.30 3.45 2.35
## 2 Anna 0.90 1.50 3.15 3.30
## 3 Bernard 1.70 2.60 2.85 3.00
## 4 Edward 1.35 0.50 3.55 2.95
## 5 Emilia 3.00 0.45 4.80 3.90
## 6 Fabian 0.95 1.65 3.95 2.40
## 7 Philip 2.30 1.20 4.75 3.30
## 8 Frank 0.65 2.10 3.10 2.55
## 9 Xavier 2.75 0.80 4.70 2.35
## 10 Gabriel 2.00 1.75 3.25 3.00
## 11 Marisol 1.20 0.80 4.40 2.40
## 12 Henry 1.95 1.10 4.55 2.30
## 13 Irene 1.40 0.70 4.05 1.90
## 14 Isabelle 1.85 0.75 4.30 2.85
## 15 Isidore 2.35 0.65 4.95 3.35
## 16 Joseph 1.70 1.00 4.85 2.35
## 17 Eugene 1.60 2.05 2.85 2.55
## 18 Eugenia 2.45 0.90 3.85 2.15
## 19 Eunice 2.65 0.70 4.85 3.05
## 20 Eva 2.35 0.65 4.95 3.35
## 21 Evdokia 1.65 0.45 4.30 2.00
## 22 Fedir 1.70 0.20 4.15 1.25
## 23 Felix 1.50 2.00 4.55 3.55
## 24 Fialka 1.20 0.75 3.35 2.40
## 25 Flavia 2.55 0.70 4.35 2.40
## 26 Flora 2.30 1.05 3.95 2.90
## 27 Florent 1.20 0.75 3.30 2.40
## 28 Florence 2.60 0.65 4.85 3.05
## 29 Hannah 1.75 1.40 4.95 1.75
## 30 Helen 2.05 1.85 2.95 2.75
## 31 Herman 1.50 1.60 3.00 2.65
## 32 Hilary 1.40 1.90 4.45 3.45
## 33 Lourdes 2.60 1.00 4.65 2.95
## 34 Isadore 1.70 1.85 3.20 2.85
## 35 Ivan 1.20 0.50 3.85 1.70
## 36 Jacob 0.90 1.65 3.75 2.25
## 37 Jeremiah 1.80 2.00 2.90 2.90
## 38 Jervis 2.00 0.45 4.55 2.70
## 39 Joachim 0.00 1.05 3.45 2.70
## 40 John 1.20 1.00 3.20 2.25
## 41 Santiago 0.95 1.70 3.80 2.30
## 42 Josephine 2.95 0.45 4.80 3.90
## 43 Judith 2.45 1.15 4.65 2.25
## 44 Justin 2.50 0.65 4.30 2.35
## 45 Kalyna 1.00 1.30 3.25 1.85
## 46 Larissa 2.50 1.25 4.70 2.30
## 47 Lawrence 1.55 0.95 5.00 2.25
## 48 Leon 1.70 1.95 2.80 2.80
## 49 Leonard 2.90 0.10 4.40 2.25
## 50 Leonid 2.70 1.05 4.00 1.50
## 51 Lesia 1.85 0.35 4.10 3.00
## 52 Leo 1.30 2.40 4.10 2.50
## 53 Louise 2.25 2.05 3.15 2.95
## 54 Lubomyr 1.40 1.20 3.35 2.45
## 55 Lydia 1.90 0.40 4.35 1.45
## 56 Magdalyna 1.45 1.30 3.85 3.50
## 57 Maksym 2.45 2.20 3.70 3.45
## 58 Marcel 2.70 1.25 4.80 2.75
## 59 Margaret 2.15 0.90 3.80 2.70
## 60 Maria 1.15 2.25 4.00 2.35
## 61 Marian 1.55 0.95 4.95 2.25
## 62 Marianna 2.55 0.95 4.60 2.90
## 63 Markian 2.05 0.55 4.65 2.75
## 64 Marko 1.50 1.90 2.75 2.45
## 65 Martha 0.55 1.00 3.60 2.35
## 66 Martin 1.85 0.70 4.50 2.25
## 67 Maryna 2.10 1.25 4.60 3.10
## 68 Matthew 0.80 2.25 3.20 2.65
## 69 Maura 2.65 0.85 4.25 1.85
## 70 Maya 1.15 1.85 4.15 2.60
## 71 Maximillian 1.80 2.70 2.95 3.10
## 72 Melania 2.80 1.10 4.10 1.55
## 73 Methodius 1.80 1.10 4.95 2.40
## 74 Michael 2.60 0.65 4.55 2.25
## 75 Michaelina 1.50 1.00 3.30 3.30
## 76 Mina 2.10 1.20 4.70 2.45
## 77 Monica 1.90 0.40 4.15 3.05
## 78 Mykyta 1.65 1.30 4.85 1.65
## 79 Myron 0.50 0.95 3.55 2.25
## 80 Myroslav 2.25 0.80 4.35 2.30
## 81 Myroslava 2.75 0.90 4.35 1.90
## 82 Salome 1.70 2.30 2.75 4.10
## 83 Samuel 0.80 1.40 3.05 3.20
## 84 Sandra 1.15 1.85 3.80 2.50
## 85 Sarah 1.30 1.50 4.25 3.00
## 86 Savina 1.25 1.55 3.50 2.10
## 87 Sebastian 1.20 1.45 4.20 2.95
## 88 Sophia 1.05 1.75 3.70 2.40
## 89 Stephan 1.45 0.60 3.65 3.05
## 90 Stephania 2.15 1.25 4.65 3.15
## 91 Susanna 1.50 1.40 3.90 3.55
## 92 Sylvan 2.40 0.85 3.80 2.10
## 93 Sylvester 1.55 2.10 2.55 3.90
## 94 Tamara 0.95 1.35 2.50 2.45
## 95 Theodore 2.00 0.25 3.35 2.25
## 96 Teofan 0.30 0.80 3.20 2.50
## 97 Teofil 3.05 0.25 4.60 2.40
## 98 Teofila 1.00 1.40 2.60 2.50
## 99 Teon 1.55 1.10 3.35 3.40
## 100 Teresa 1.25 0.90 4.50 2.50
## ValorEducativo ServicioRetorno TamanoPaquete Calidad.Producto
## 1 2.4 2.3 2.60 2.10
## 2 2.5 4.0 4.20 2.15
## 3 4.3 2.7 4.10 2.60
## 4 1.8 2.3 3.90 1.95
## 5 3.4 4.6 2.25 3.40
## 6 2.6 1.9 4.85 2.20
## 7 3.5 4.5 3.80 2.90
## 8 2.8 2.2 3.45 2.15
## 9 3.5 3.0 3.80 2.70
## 10 3.7 3.2 4.35 2.70
## 11 2.0 2.8 2.90 2.15
## 12 3.0 2.5 4.15 2.50
## 13 2.1 1.4 3.30 2.20
## 14 2.7 3.7 3.35 2.50
## 15 3.0 2.6 3.40 2.95
## 16 2.7 1.7 2.40 2.35
## 17 3.6 2.9 3.10 2.20
## 18 3.4 1.5 2.95 2.80
## 19 3.3 3.9 3.40 2.95
## 20 3.0 2.6 3.40 3.00
## 21 2.1 1.8 3.15 2.25
## 22 1.2 1.7 2.60 1.65
## 23 3.5 3.4 4.20 2.60
## 24 1.9 2.5 3.60 1.85
## 25 3.3 2.6 1.90 2.45
## 26 3.4 2.8 2.35 2.95
## 27 1.9 2.5 3.60 1.85
## 28 3.2 3.9 3.35 2.90
## 29 3.1 1.7 2.70 2.70
## 30 3.9 3.0 4.20 2.55
## 31 3.1 3.0 4.00 1.65
## 32 3.3 3.2 4.10 2.50
## 33 3.7 2.4 2.30 3.05
## 34 3.5 3.4 4.20 1.90
## 35 1.7 1.1 3.10 2.05
## 36 2.5 2.4 3.80 1.80
## 37 3.7 2.5 4.65 2.40
## 38 2.4 2.6 3.65 2.55
## 39 1.1 2.6 4.45 1.95
## 40 2.1 2.2 4.40 1.65
## 41 2.6 2.5 3.85 1.85
## 42 3.4 4.6 2.25 3.35
## 43 3.6 1.3 3.10 2.95
## 44 3.1 2.5 1.85 2.40
## 45 2.4 1.7 4.25 1.60
## 46 3.7 1.4 3.15 3.00
## 47 2.6 3.2 1.90 2.45
## 48 3.6 2.3 4.55 2.35
## 49 3.0 2.4 3.35 2.45
## 50 3.8 1.4 2.60 1.90
## 51 2.1 2.5 2.60 2.50
## 52 3.6 2.5 4.50 2.60
## 53 4.3 3.4 4.40 2.75
## 54 2.5 2.6 4.60 1.85
## 55 1.6 2.1 2.80 1.85
## 56 2.8 3.6 3.85 2.10
## 57 4.6 4.0 4.80 3.10
## 58 4.0 3.0 3.85 3.00
## 59 3.1 2.5 2.20 2.80
## 60 3.3 2.2 4.35 2.50
## 61 2.6 3.1 1.90 2.40
## 62 3.6 2.3 2.25 3.05
## 63 2.5 2.7 3.70 2.65
## 64 3.4 2.6 3.00 2.10
## 65 1.6 3.2 5.00 1.70
## 66 2.6 2.3 3.40 2.45
## 67 3.3 3.9 3.65 3.00
## 68 3.0 2.5 3.55 2.25
## 69 3.5 1.9 2.40 2.15
## 70 3.0 2.3 4.55 2.40
## 71 4.5 2.9 4.20 2.70
## 72 4.0 1.6 2.65 1.95
## 73 2.9 1.9 2.45 2.45
## 74 3.3 2.7 3.65 2.55
## 75 2.4 2.7 4.10 2.05
## 76 3.2 2.7 4.25 2.60
## 77 2.2 2.6 2.65 2.55
## 78 2.9 1.5 2.60 2.55
## 79 1.5 3.1 4.95 1.65
## 80 3.1 2.1 3.40 2.55
## 81 3.6 2.1 2.45 2.25
## 82 4.0 4.4 3.15 2.80
## 83 2.3 3.8 4.10 2.05
## 84 3.0 2.5 3.70 2.20
## 85 2.8 2.8 3.40 2.80
## 86 2.8 2.2 4.50 1.85
## 87 2.7 2.7 3.35 2.75
## 88 2.8 2.3 3.60 2.15
## 89 2.0 2.5 4.00 2.00
## 90 3.4 4.0 3.70 3.05
## 91 3.0 3.8 3.95 2.20
## 92 3.3 1.4 2.90 2.75
## 93 3.6 4.0 2.95 2.60
## 94 2.2 2.5 4.10 1.80
## 95 2.2 2.1 2.50 2.00
## 96 0.7 2.1 4.20 1.70
## 97 3.3 2.8 3.55 2.60
## 98 2.4 2.7 4.20 1.85
## 99 2.6 2.9 4.20 2.15
## 100 2.2 3.0 3.00 2.20
## NumeroEstrellas
## 1 1.7
## 2 2.8
## 3 3.3
## 4 1.7
## 5 4.3
## 6 3.0
## 7 3.1
## 8 2.9
## 9 4.8
## 10 3.9
## 11 1.7
## 12 3.2
## 13 2.4
## 14 2.3
## 15 3.9
## 16 3.4
## 17 2.3
## 18 2.5
## 19 3.9
## 20 4.0
## 21 2.6
## 22 2.0
## 23 4.0
## 24 2.1
## 25 3.4
## 26 3.4
## 27 2.1
## 28 3.9
## 29 3.4
## 30 3.1
## 31 2.8
## 32 3.8
## 33 4.5
## 34 3.2
## 35 2.0
## 36 2.4
## 37 2.9
## 38 3.1
## 39 1.4
## 40 1.3
## 41 2.5
## 42 4.3
## 43 3.8
## 44 3.3
## 45 2.3
## 46 3.9
## 47 4.0
## 48 2.8
## 49 4.2
## 50 3.8
## 51 2.6
## 52 3.8
## 53 3.5
## 54 1.7
## 55 2.4
## 56 3.2
## 57 4.7
## 58 5.0
## 59 3.1
## 60 3.5
## 61 3.9
## 62 4.5
## 63 3.2
## 64 2.1
## 65 2.5
## 66 3.0
## 67 4.4
## 68 3.1
## 69 4.3
## 70 3.4
## 71 3.5
## 72 4.0
## 73 3.6
## 74 4.5
## 75 2.6
## 76 3.4
## 77 2.7
## 78 3.2
## 79 2.4
## 80 4.1
## 81 4.4
## 82 3.2
## 83 2.6
## 84 2.2
## 85 3.8
## 86 2.8
## 87 3.6
## 88 2.1
## 89 1.9
## 90 4.5
## 91 3.4
## 92 2.4
## 93 2.8
## 94 2.1
## 95 1.6
## 96 1.0
## 97 4.5
## 98 2.3
## 99 2.7
## 100 1.8
datos1 <- read.csv('EjemploAlgoritmosRecomendacion.csv', header=TRUE, sep=';',dec=',',row.names=1)
datos1
## VelocidadEntrega Precio Durabilidad ImagenProducto
## Adam 2.05 0.30 3.45 2.35
## Anna 0.90 1.50 3.15 3.30
## Bernard 1.70 2.60 2.85 3.00
## Edward 1.35 0.50 3.55 2.95
## Emilia 3.00 0.45 4.80 3.90
## Fabian 0.95 1.65 3.95 2.40
## Philip 2.30 1.20 4.75 3.30
## Frank 0.65 2.10 3.10 2.55
## Xavier 2.75 0.80 4.70 2.35
## Gabriel 2.00 1.75 3.25 3.00
## Marisol 1.20 0.80 4.40 2.40
## Henry 1.95 1.10 4.55 2.30
## Irene 1.40 0.70 4.05 1.90
## Isabelle 1.85 0.75 4.30 2.85
## Isidore 2.35 0.65 4.95 3.35
## Joseph 1.70 1.00 4.85 2.35
## Eugene 1.60 2.05 2.85 2.55
## Eugenia 2.45 0.90 3.85 2.15
## Eunice 2.65 0.70 4.85 3.05
## Eva 2.35 0.65 4.95 3.35
## Evdokia 1.65 0.45 4.30 2.00
## Fedir 1.70 0.20 4.15 1.25
## Felix 1.50 2.00 4.55 3.55
## Fialka 1.20 0.75 3.35 2.40
## Flavia 2.55 0.70 4.35 2.40
## Flora 2.30 1.05 3.95 2.90
## Florent 1.20 0.75 3.30 2.40
## Florence 2.60 0.65 4.85 3.05
## Hannah 1.75 1.40 4.95 1.75
## Helen 2.05 1.85 2.95 2.75
## Herman 1.50 1.60 3.00 2.65
## Hilary 1.40 1.90 4.45 3.45
## Lourdes 2.60 1.00 4.65 2.95
## Isadore 1.70 1.85 3.20 2.85
## Ivan 1.20 0.50 3.85 1.70
## Jacob 0.90 1.65 3.75 2.25
## Jeremiah 1.80 2.00 2.90 2.90
## Jervis 2.00 0.45 4.55 2.70
## Joachim 0.00 1.05 3.45 2.70
## John 1.20 1.00 3.20 2.25
## Santiago 0.95 1.70 3.80 2.30
## Josephine 2.95 0.45 4.80 3.90
## Judith 2.45 1.15 4.65 2.25
## Justin 2.50 0.65 4.30 2.35
## Kalyna 1.00 1.30 3.25 1.85
## Larissa 2.50 1.25 4.70 2.30
## Lawrence 1.55 0.95 5.00 2.25
## Leon 1.70 1.95 2.80 2.80
## Leonard 2.90 0.10 4.40 2.25
## Leonid 2.70 1.05 4.00 1.50
## Lesia 1.85 0.35 4.10 3.00
## Leo 1.30 2.40 4.10 2.50
## Louise 2.25 2.05 3.15 2.95
## Lubomyr 1.40 1.20 3.35 2.45
## Lydia 1.90 0.40 4.35 1.45
## Magdalyna 1.45 1.30 3.85 3.50
## Maksym 2.45 2.20 3.70 3.45
## Marcel 2.70 1.25 4.80 2.75
## Margaret 2.15 0.90 3.80 2.70
## Maria 1.15 2.25 4.00 2.35
## Marian 1.55 0.95 4.95 2.25
## Marianna 2.55 0.95 4.60 2.90
## Markian 2.05 0.55 4.65 2.75
## Marko 1.50 1.90 2.75 2.45
## Martha 0.55 1.00 3.60 2.35
## Martin 1.85 0.70 4.50 2.25
## Maryna 2.10 1.25 4.60 3.10
## Matthew 0.80 2.25 3.20 2.65
## Maura 2.65 0.85 4.25 1.85
## Maya 1.15 1.85 4.15 2.60
## Maximillian 1.80 2.70 2.95 3.10
## Melania 2.80 1.10 4.10 1.55
## Methodius 1.80 1.10 4.95 2.40
## Michael 2.60 0.65 4.55 2.25
## Michaelina 1.50 1.00 3.30 3.30
## Mina 2.10 1.20 4.70 2.45
## Monica 1.90 0.40 4.15 3.05
## Mykyta 1.65 1.30 4.85 1.65
## Myron 0.50 0.95 3.55 2.25
## Myroslav 2.25 0.80 4.35 2.30
## Myroslava 2.75 0.90 4.35 1.90
## Salome 1.70 2.30 2.75 4.10
## Samuel 0.80 1.40 3.05 3.20
## Sandra 1.15 1.85 3.80 2.50
## Sarah 1.30 1.50 4.25 3.00
## Savina 1.25 1.55 3.50 2.10
## Sebastian 1.20 1.45 4.20 2.95
## Sophia 1.05 1.75 3.70 2.40
## Stephan 1.45 0.60 3.65 3.05
## Stephania 2.15 1.25 4.65 3.15
## Susanna 1.50 1.40 3.90 3.55
## Sylvan 2.40 0.85 3.80 2.10
## Sylvester 1.55 2.10 2.55 3.90
## Tamara 0.95 1.35 2.50 2.45
## Theodore 2.00 0.25 3.35 2.25
## Teofan 0.30 0.80 3.20 2.50
## Teofil 3.05 0.25 4.60 2.40
## Teofila 1.00 1.40 2.60 2.50
## Teon 1.55 1.10 3.35 3.40
## Teresa 1.25 0.90 4.50 2.50
## ValorEducativo ServicioRetorno TamanoPaquete Calidad.Producto
## Adam 2.4 2.3 2.60 2.10
## Anna 2.5 4.0 4.20 2.15
## Bernard 4.3 2.7 4.10 2.60
## Edward 1.8 2.3 3.90 1.95
## Emilia 3.4 4.6 2.25 3.40
## Fabian 2.6 1.9 4.85 2.20
## Philip 3.5 4.5 3.80 2.90
## Frank 2.8 2.2 3.45 2.15
## Xavier 3.5 3.0 3.80 2.70
## Gabriel 3.7 3.2 4.35 2.70
## Marisol 2.0 2.8 2.90 2.15
## Henry 3.0 2.5 4.15 2.50
## Irene 2.1 1.4 3.30 2.20
## Isabelle 2.7 3.7 3.35 2.50
## Isidore 3.0 2.6 3.40 2.95
## Joseph 2.7 1.7 2.40 2.35
## Eugene 3.6 2.9 3.10 2.20
## Eugenia 3.4 1.5 2.95 2.80
## Eunice 3.3 3.9 3.40 2.95
## Eva 3.0 2.6 3.40 3.00
## Evdokia 2.1 1.8 3.15 2.25
## Fedir 1.2 1.7 2.60 1.65
## Felix 3.5 3.4 4.20 2.60
## Fialka 1.9 2.5 3.60 1.85
## Flavia 3.3 2.6 1.90 2.45
## Flora 3.4 2.8 2.35 2.95
## Florent 1.9 2.5 3.60 1.85
## Florence 3.2 3.9 3.35 2.90
## Hannah 3.1 1.7 2.70 2.70
## Helen 3.9 3.0 4.20 2.55
## Herman 3.1 3.0 4.00 1.65
## Hilary 3.3 3.2 4.10 2.50
## Lourdes 3.7 2.4 2.30 3.05
## Isadore 3.5 3.4 4.20 1.90
## Ivan 1.7 1.1 3.10 2.05
## Jacob 2.5 2.4 3.80 1.80
## Jeremiah 3.7 2.5 4.65 2.40
## Jervis 2.4 2.6 3.65 2.55
## Joachim 1.1 2.6 4.45 1.95
## John 2.1 2.2 4.40 1.65
## Santiago 2.6 2.5 3.85 1.85
## Josephine 3.4 4.6 2.25 3.35
## Judith 3.6 1.3 3.10 2.95
## Justin 3.1 2.5 1.85 2.40
## Kalyna 2.4 1.7 4.25 1.60
## Larissa 3.7 1.4 3.15 3.00
## Lawrence 2.6 3.2 1.90 2.45
## Leon 3.6 2.3 4.55 2.35
## Leonard 3.0 2.4 3.35 2.45
## Leonid 3.8 1.4 2.60 1.90
## Lesia 2.1 2.5 2.60 2.50
## Leo 3.6 2.5 4.50 2.60
## Louise 4.3 3.4 4.40 2.75
## Lubomyr 2.5 2.6 4.60 1.85
## Lydia 1.6 2.1 2.80 1.85
## Magdalyna 2.8 3.6 3.85 2.10
## Maksym 4.6 4.0 4.80 3.10
## Marcel 4.0 3.0 3.85 3.00
## Margaret 3.1 2.5 2.20 2.80
## Maria 3.3 2.2 4.35 2.50
## Marian 2.6 3.1 1.90 2.40
## Marianna 3.6 2.3 2.25 3.05
## Markian 2.5 2.7 3.70 2.65
## Marko 3.4 2.6 3.00 2.10
## Martha 1.6 3.2 5.00 1.70
## Martin 2.6 2.3 3.40 2.45
## Maryna 3.3 3.9 3.65 3.00
## Matthew 3.0 2.5 3.55 2.25
## Maura 3.5 1.9 2.40 2.15
## Maya 3.0 2.3 4.55 2.40
## Maximillian 4.5 2.9 4.20 2.70
## Melania 4.0 1.6 2.65 1.95
## Methodius 2.9 1.9 2.45 2.45
## Michael 3.3 2.7 3.65 2.55
## Michaelina 2.4 2.7 4.10 2.05
## Mina 3.2 2.7 4.25 2.60
## Monica 2.2 2.6 2.65 2.55
## Mykyta 2.9 1.5 2.60 2.55
## Myron 1.5 3.1 4.95 1.65
## Myroslav 3.1 2.1 3.40 2.55
## Myroslava 3.6 2.1 2.45 2.25
## Salome 4.0 4.4 3.15 2.80
## Samuel 2.3 3.8 4.10 2.05
## Sandra 3.0 2.5 3.70 2.20
## Sarah 2.8 2.8 3.40 2.80
## Savina 2.8 2.2 4.50 1.85
## Sebastian 2.7 2.7 3.35 2.75
## Sophia 2.8 2.3 3.60 2.15
## Stephan 2.0 2.5 4.00 2.00
## Stephania 3.4 4.0 3.70 3.05
## Susanna 3.0 3.8 3.95 2.20
## Sylvan 3.3 1.4 2.90 2.75
## Sylvester 3.6 4.0 2.95 2.60
## Tamara 2.2 2.5 4.10 1.80
## Theodore 2.2 2.1 2.50 2.00
## Teofan 0.7 2.1 4.20 1.70
## Teofil 3.3 2.8 3.55 2.60
## Teofila 2.4 2.7 4.20 1.85
## Teon 2.6 2.9 4.20 2.15
## Teresa 2.2 3.0 3.00 2.20
## NumeroEstrellas
## Adam 1.7
## Anna 2.8
## Bernard 3.3
## Edward 1.7
## Emilia 4.3
## Fabian 3.0
## Philip 3.1
## Frank 2.9
## Xavier 4.8
## Gabriel 3.9
## Marisol 1.7
## Henry 3.2
## Irene 2.4
## Isabelle 2.3
## Isidore 3.9
## Joseph 3.4
## Eugene 2.3
## Eugenia 2.5
## Eunice 3.9
## Eva 4.0
## Evdokia 2.6
## Fedir 2.0
## Felix 4.0
## Fialka 2.1
## Flavia 3.4
## Flora 3.4
## Florent 2.1
## Florence 3.9
## Hannah 3.4
## Helen 3.1
## Herman 2.8
## Hilary 3.8
## Lourdes 4.5
## Isadore 3.2
## Ivan 2.0
## Jacob 2.4
## Jeremiah 2.9
## Jervis 3.1
## Joachim 1.4
## John 1.3
## Santiago 2.5
## Josephine 4.3
## Judith 3.8
## Justin 3.3
## Kalyna 2.3
## Larissa 3.9
## Lawrence 4.0
## Leon 2.8
## Leonard 4.2
## Leonid 3.8
## Lesia 2.6
## Leo 3.8
## Louise 3.5
## Lubomyr 1.7
## Lydia 2.4
## Magdalyna 3.2
## Maksym 4.7
## Marcel 5.0
## Margaret 3.1
## Maria 3.5
## Marian 3.9
## Marianna 4.5
## Markian 3.2
## Marko 2.1
## Martha 2.5
## Martin 3.0
## Maryna 4.4
## Matthew 3.1
## Maura 4.3
## Maya 3.4
## Maximillian 3.5
## Melania 4.0
## Methodius 3.6
## Michael 4.5
## Michaelina 2.6
## Mina 3.4
## Monica 2.7
## Mykyta 3.2
## Myron 2.4
## Myroslav 4.1
## Myroslava 4.4
## Salome 3.2
## Samuel 2.6
## Sandra 2.2
## Sarah 3.8
## Savina 2.8
## Sebastian 3.6
## Sophia 2.1
## Stephan 1.9
## Stephania 4.5
## Susanna 3.4
## Sylvan 2.4
## Sylvester 2.8
## Tamara 2.1
## Theodore 1.6
## Teofan 1.0
## Teofil 4.5
## Teofila 2.3
## Teon 2.7
## Teresa 1.8
algoritmos_recomendacion <- as.data.frame(datos1)
algoritmos_recomendacion
## VelocidadEntrega Precio Durabilidad ImagenProducto
## Adam 2.05 0.30 3.45 2.35
## Anna 0.90 1.50 3.15 3.30
## Bernard 1.70 2.60 2.85 3.00
## Edward 1.35 0.50 3.55 2.95
## Emilia 3.00 0.45 4.80 3.90
## Fabian 0.95 1.65 3.95 2.40
## Philip 2.30 1.20 4.75 3.30
## Frank 0.65 2.10 3.10 2.55
## Xavier 2.75 0.80 4.70 2.35
## Gabriel 2.00 1.75 3.25 3.00
## Marisol 1.20 0.80 4.40 2.40
## Henry 1.95 1.10 4.55 2.30
## Irene 1.40 0.70 4.05 1.90
## Isabelle 1.85 0.75 4.30 2.85
## Isidore 2.35 0.65 4.95 3.35
## Joseph 1.70 1.00 4.85 2.35
## Eugene 1.60 2.05 2.85 2.55
## Eugenia 2.45 0.90 3.85 2.15
## Eunice 2.65 0.70 4.85 3.05
## Eva 2.35 0.65 4.95 3.35
## Evdokia 1.65 0.45 4.30 2.00
## Fedir 1.70 0.20 4.15 1.25
## Felix 1.50 2.00 4.55 3.55
## Fialka 1.20 0.75 3.35 2.40
## Flavia 2.55 0.70 4.35 2.40
## Flora 2.30 1.05 3.95 2.90
## Florent 1.20 0.75 3.30 2.40
## Florence 2.60 0.65 4.85 3.05
## Hannah 1.75 1.40 4.95 1.75
## Helen 2.05 1.85 2.95 2.75
## Herman 1.50 1.60 3.00 2.65
## Hilary 1.40 1.90 4.45 3.45
## Lourdes 2.60 1.00 4.65 2.95
## Isadore 1.70 1.85 3.20 2.85
## Ivan 1.20 0.50 3.85 1.70
## Jacob 0.90 1.65 3.75 2.25
## Jeremiah 1.80 2.00 2.90 2.90
## Jervis 2.00 0.45 4.55 2.70
## Joachim 0.00 1.05 3.45 2.70
## John 1.20 1.00 3.20 2.25
## Santiago 0.95 1.70 3.80 2.30
## Josephine 2.95 0.45 4.80 3.90
## Judith 2.45 1.15 4.65 2.25
## Justin 2.50 0.65 4.30 2.35
## Kalyna 1.00 1.30 3.25 1.85
## Larissa 2.50 1.25 4.70 2.30
## Lawrence 1.55 0.95 5.00 2.25
## Leon 1.70 1.95 2.80 2.80
## Leonard 2.90 0.10 4.40 2.25
## Leonid 2.70 1.05 4.00 1.50
## Lesia 1.85 0.35 4.10 3.00
## Leo 1.30 2.40 4.10 2.50
## Louise 2.25 2.05 3.15 2.95
## Lubomyr 1.40 1.20 3.35 2.45
## Lydia 1.90 0.40 4.35 1.45
## Magdalyna 1.45 1.30 3.85 3.50
## Maksym 2.45 2.20 3.70 3.45
## Marcel 2.70 1.25 4.80 2.75
## Margaret 2.15 0.90 3.80 2.70
## Maria 1.15 2.25 4.00 2.35
## Marian 1.55 0.95 4.95 2.25
## Marianna 2.55 0.95 4.60 2.90
## Markian 2.05 0.55 4.65 2.75
## Marko 1.50 1.90 2.75 2.45
## Martha 0.55 1.00 3.60 2.35
## Martin 1.85 0.70 4.50 2.25
## Maryna 2.10 1.25 4.60 3.10
## Matthew 0.80 2.25 3.20 2.65
## Maura 2.65 0.85 4.25 1.85
## Maya 1.15 1.85 4.15 2.60
## Maximillian 1.80 2.70 2.95 3.10
## Melania 2.80 1.10 4.10 1.55
## Methodius 1.80 1.10 4.95 2.40
## Michael 2.60 0.65 4.55 2.25
## Michaelina 1.50 1.00 3.30 3.30
## Mina 2.10 1.20 4.70 2.45
## Monica 1.90 0.40 4.15 3.05
## Mykyta 1.65 1.30 4.85 1.65
## Myron 0.50 0.95 3.55 2.25
## Myroslav 2.25 0.80 4.35 2.30
## Myroslava 2.75 0.90 4.35 1.90
## Salome 1.70 2.30 2.75 4.10
## Samuel 0.80 1.40 3.05 3.20
## Sandra 1.15 1.85 3.80 2.50
## Sarah 1.30 1.50 4.25 3.00
## Savina 1.25 1.55 3.50 2.10
## Sebastian 1.20 1.45 4.20 2.95
## Sophia 1.05 1.75 3.70 2.40
## Stephan 1.45 0.60 3.65 3.05
## Stephania 2.15 1.25 4.65 3.15
## Susanna 1.50 1.40 3.90 3.55
## Sylvan 2.40 0.85 3.80 2.10
## Sylvester 1.55 2.10 2.55 3.90
## Tamara 0.95 1.35 2.50 2.45
## Theodore 2.00 0.25 3.35 2.25
## Teofan 0.30 0.80 3.20 2.50
## Teofil 3.05 0.25 4.60 2.40
## Teofila 1.00 1.40 2.60 2.50
## Teon 1.55 1.10 3.35 3.40
## Teresa 1.25 0.90 4.50 2.50
## ValorEducativo ServicioRetorno TamanoPaquete Calidad.Producto
## Adam 2.4 2.3 2.60 2.10
## Anna 2.5 4.0 4.20 2.15
## Bernard 4.3 2.7 4.10 2.60
## Edward 1.8 2.3 3.90 1.95
## Emilia 3.4 4.6 2.25 3.40
## Fabian 2.6 1.9 4.85 2.20
## Philip 3.5 4.5 3.80 2.90
## Frank 2.8 2.2 3.45 2.15
## Xavier 3.5 3.0 3.80 2.70
## Gabriel 3.7 3.2 4.35 2.70
## Marisol 2.0 2.8 2.90 2.15
## Henry 3.0 2.5 4.15 2.50
## Irene 2.1 1.4 3.30 2.20
## Isabelle 2.7 3.7 3.35 2.50
## Isidore 3.0 2.6 3.40 2.95
## Joseph 2.7 1.7 2.40 2.35
## Eugene 3.6 2.9 3.10 2.20
## Eugenia 3.4 1.5 2.95 2.80
## Eunice 3.3 3.9 3.40 2.95
## Eva 3.0 2.6 3.40 3.00
## Evdokia 2.1 1.8 3.15 2.25
## Fedir 1.2 1.7 2.60 1.65
## Felix 3.5 3.4 4.20 2.60
## Fialka 1.9 2.5 3.60 1.85
## Flavia 3.3 2.6 1.90 2.45
## Flora 3.4 2.8 2.35 2.95
## Florent 1.9 2.5 3.60 1.85
## Florence 3.2 3.9 3.35 2.90
## Hannah 3.1 1.7 2.70 2.70
## Helen 3.9 3.0 4.20 2.55
## Herman 3.1 3.0 4.00 1.65
## Hilary 3.3 3.2 4.10 2.50
## Lourdes 3.7 2.4 2.30 3.05
## Isadore 3.5 3.4 4.20 1.90
## Ivan 1.7 1.1 3.10 2.05
## Jacob 2.5 2.4 3.80 1.80
## Jeremiah 3.7 2.5 4.65 2.40
## Jervis 2.4 2.6 3.65 2.55
## Joachim 1.1 2.6 4.45 1.95
## John 2.1 2.2 4.40 1.65
## Santiago 2.6 2.5 3.85 1.85
## Josephine 3.4 4.6 2.25 3.35
## Judith 3.6 1.3 3.10 2.95
## Justin 3.1 2.5 1.85 2.40
## Kalyna 2.4 1.7 4.25 1.60
## Larissa 3.7 1.4 3.15 3.00
## Lawrence 2.6 3.2 1.90 2.45
## Leon 3.6 2.3 4.55 2.35
## Leonard 3.0 2.4 3.35 2.45
## Leonid 3.8 1.4 2.60 1.90
## Lesia 2.1 2.5 2.60 2.50
## Leo 3.6 2.5 4.50 2.60
## Louise 4.3 3.4 4.40 2.75
## Lubomyr 2.5 2.6 4.60 1.85
## Lydia 1.6 2.1 2.80 1.85
## Magdalyna 2.8 3.6 3.85 2.10
## Maksym 4.6 4.0 4.80 3.10
## Marcel 4.0 3.0 3.85 3.00
## Margaret 3.1 2.5 2.20 2.80
## Maria 3.3 2.2 4.35 2.50
## Marian 2.6 3.1 1.90 2.40
## Marianna 3.6 2.3 2.25 3.05
## Markian 2.5 2.7 3.70 2.65
## Marko 3.4 2.6 3.00 2.10
## Martha 1.6 3.2 5.00 1.70
## Martin 2.6 2.3 3.40 2.45
## Maryna 3.3 3.9 3.65 3.00
## Matthew 3.0 2.5 3.55 2.25
## Maura 3.5 1.9 2.40 2.15
## Maya 3.0 2.3 4.55 2.40
## Maximillian 4.5 2.9 4.20 2.70
## Melania 4.0 1.6 2.65 1.95
## Methodius 2.9 1.9 2.45 2.45
## Michael 3.3 2.7 3.65 2.55
## Michaelina 2.4 2.7 4.10 2.05
## Mina 3.2 2.7 4.25 2.60
## Monica 2.2 2.6 2.65 2.55
## Mykyta 2.9 1.5 2.60 2.55
## Myron 1.5 3.1 4.95 1.65
## Myroslav 3.1 2.1 3.40 2.55
## Myroslava 3.6 2.1 2.45 2.25
## Salome 4.0 4.4 3.15 2.80
## Samuel 2.3 3.8 4.10 2.05
## Sandra 3.0 2.5 3.70 2.20
## Sarah 2.8 2.8 3.40 2.80
## Savina 2.8 2.2 4.50 1.85
## Sebastian 2.7 2.7 3.35 2.75
## Sophia 2.8 2.3 3.60 2.15
## Stephan 2.0 2.5 4.00 2.00
## Stephania 3.4 4.0 3.70 3.05
## Susanna 3.0 3.8 3.95 2.20
## Sylvan 3.3 1.4 2.90 2.75
## Sylvester 3.6 4.0 2.95 2.60
## Tamara 2.2 2.5 4.10 1.80
## Theodore 2.2 2.1 2.50 2.00
## Teofan 0.7 2.1 4.20 1.70
## Teofil 3.3 2.8 3.55 2.60
## Teofila 2.4 2.7 4.20 1.85
## Teon 2.6 2.9 4.20 2.15
## Teresa 2.2 3.0 3.00 2.20
## NumeroEstrellas
## Adam 1.7
## Anna 2.8
## Bernard 3.3
## Edward 1.7
## Emilia 4.3
## Fabian 3.0
## Philip 3.1
## Frank 2.9
## Xavier 4.8
## Gabriel 3.9
## Marisol 1.7
## Henry 3.2
## Irene 2.4
## Isabelle 2.3
## Isidore 3.9
## Joseph 3.4
## Eugene 2.3
## Eugenia 2.5
## Eunice 3.9
## Eva 4.0
## Evdokia 2.6
## Fedir 2.0
## Felix 4.0
## Fialka 2.1
## Flavia 3.4
## Flora 3.4
## Florent 2.1
## Florence 3.9
## Hannah 3.4
## Helen 3.1
## Herman 2.8
## Hilary 3.8
## Lourdes 4.5
## Isadore 3.2
## Ivan 2.0
## Jacob 2.4
## Jeremiah 2.9
## Jervis 3.1
## Joachim 1.4
## John 1.3
## Santiago 2.5
## Josephine 4.3
## Judith 3.8
## Justin 3.3
## Kalyna 2.3
## Larissa 3.9
## Lawrence 4.0
## Leon 2.8
## Leonard 4.2
## Leonid 3.8
## Lesia 2.6
## Leo 3.8
## Louise 3.5
## Lubomyr 1.7
## Lydia 2.4
## Magdalyna 3.2
## Maksym 4.7
## Marcel 5.0
## Margaret 3.1
## Maria 3.5
## Marian 3.9
## Marianna 4.5
## Markian 3.2
## Marko 2.1
## Martha 2.5
## Martin 3.0
## Maryna 4.4
## Matthew 3.1
## Maura 4.3
## Maya 3.4
## Maximillian 3.5
## Melania 4.0
## Methodius 3.6
## Michael 4.5
## Michaelina 2.6
## Mina 3.4
## Monica 2.7
## Mykyta 3.2
## Myron 2.4
## Myroslav 4.1
## Myroslava 4.4
## Salome 3.2
## Samuel 2.6
## Sandra 2.2
## Sarah 3.8
## Savina 2.8
## Sebastian 3.6
## Sophia 2.1
## Stephan 1.9
## Stephania 4.5
## Susanna 3.4
## Sylvan 2.4
## Sylvester 2.8
## Tamara 2.1
## Theodore 1.6
## Teofan 1.0
## Teofil 4.5
## Teofila 2.3
## Teon 2.7
## Teresa 1.8
dim(algoritmos_recomendacion)
## [1] 100 9
algoritmos_recomendacion$Durabilidad
## [1] 3.45 3.15 2.85 3.55 4.80 3.95 4.75 3.10 4.70 3.25 4.40 4.55 4.05 4.30
## [15] 4.95 4.85 2.85 3.85 4.85 4.95 4.30 4.15 4.55 3.35 4.35 3.95 3.30 4.85
## [29] 4.95 2.95 3.00 4.45 4.65 3.20 3.85 3.75 2.90 4.55 3.45 3.20 3.80 4.80
## [43] 4.65 4.30 3.25 4.70 5.00 2.80 4.40 4.00 4.10 4.10 3.15 3.35 4.35 3.85
## [57] 3.70 4.80 3.80 4.00 4.95 4.60 4.65 2.75 3.60 4.50 4.60 3.20 4.25 4.15
## [71] 2.95 4.10 4.95 4.55 3.30 4.70 4.15 4.85 3.55 4.35 4.35 2.75 3.05 3.80
## [85] 4.25 3.50 4.20 3.70 3.65 4.65 3.90 3.80 2.55 2.50 3.35 3.20 4.60 2.60
## [99] 3.35 4.50
algoritmos_recomendacion$Precio
## [1] 0.30 1.50 2.60 0.50 0.45 1.65 1.20 2.10 0.80 1.75 0.80 1.10 0.70 0.75
## [15] 0.65 1.00 2.05 0.90 0.70 0.65 0.45 0.20 2.00 0.75 0.70 1.05 0.75 0.65
## [29] 1.40 1.85 1.60 1.90 1.00 1.85 0.50 1.65 2.00 0.45 1.05 1.00 1.70 0.45
## [43] 1.15 0.65 1.30 1.25 0.95 1.95 0.10 1.05 0.35 2.40 2.05 1.20 0.40 1.30
## [57] 2.20 1.25 0.90 2.25 0.95 0.95 0.55 1.90 1.00 0.70 1.25 2.25 0.85 1.85
## [71] 2.70 1.10 1.10 0.65 1.00 1.20 0.40 1.30 0.95 0.80 0.90 2.30 1.40 1.85
## [85] 1.50 1.55 1.45 1.75 0.60 1.25 1.40 0.85 2.10 1.35 0.25 0.80 0.25 1.40
## [99] 1.10 0.90
algoritmos_recomendacion[,1]
## [1] 2.05 0.90 1.70 1.35 3.00 0.95 2.30 0.65 2.75 2.00 1.20 1.95 1.40 1.85
## [15] 2.35 1.70 1.60 2.45 2.65 2.35 1.65 1.70 1.50 1.20 2.55 2.30 1.20 2.60
## [29] 1.75 2.05 1.50 1.40 2.60 1.70 1.20 0.90 1.80 2.00 0.00 1.20 0.95 2.95
## [43] 2.45 2.50 1.00 2.50 1.55 1.70 2.90 2.70 1.85 1.30 2.25 1.40 1.90 1.45
## [57] 2.45 2.70 2.15 1.15 1.55 2.55 2.05 1.50 0.55 1.85 2.10 0.80 2.65 1.15
## [71] 1.80 2.80 1.80 2.60 1.50 2.10 1.90 1.65 0.50 2.25 2.75 1.70 0.80 1.15
## [85] 1.30 1.25 1.20 1.05 1.45 2.15 1.50 2.40 1.55 0.95 2.00 0.30 3.05 1.00
## [99] 1.55 1.25
algoritmos_recomendacion[,2]
## [1] 0.30 1.50 2.60 0.50 0.45 1.65 1.20 2.10 0.80 1.75 0.80 1.10 0.70 0.75
## [15] 0.65 1.00 2.05 0.90 0.70 0.65 0.45 0.20 2.00 0.75 0.70 1.05 0.75 0.65
## [29] 1.40 1.85 1.60 1.90 1.00 1.85 0.50 1.65 2.00 0.45 1.05 1.00 1.70 0.45
## [43] 1.15 0.65 1.30 1.25 0.95 1.95 0.10 1.05 0.35 2.40 2.05 1.20 0.40 1.30
## [57] 2.20 1.25 0.90 2.25 0.95 0.95 0.55 1.90 1.00 0.70 1.25 2.25 0.85 1.85
## [71] 2.70 1.10 1.10 0.65 1.00 1.20 0.40 1.30 0.95 0.80 0.90 2.30 1.40 1.85
## [85] 1.50 1.55 1.45 1.75 0.60 1.25 1.40 0.85 2.10 1.35 0.25 0.80 0.25 1.40
## [99] 1.10 0.90
str(algoritmos_recomendacion)
## 'data.frame': 100 obs. of 9 variables:
## $ VelocidadEntrega: num 2.05 0.9 1.7 1.35 3 0.95 2.3 0.65 2.75 2 ...
## $ Precio : num 0.3 1.5 2.6 0.5 0.45 1.65 1.2 2.1 0.8 1.75 ...
## $ Durabilidad : num 3.45 3.15 2.85 3.55 4.8 3.95 4.75 3.1 4.7 3.25 ...
## $ ImagenProducto : num 2.35 3.3 3 2.95 3.9 2.4 3.3 2.55 2.35 3 ...
## $ ValorEducativo : num 2.4 2.5 4.3 1.8 3.4 2.6 3.5 2.8 3.5 3.7 ...
## $ ServicioRetorno : num 2.3 4 2.7 2.3 4.6 1.9 4.5 2.2 3 3.2 ...
## $ TamanoPaquete : num 2.6 4.2 4.1 3.9 2.25 4.85 3.8 3.45 3.8 4.35 ...
## $ Calidad.Producto: num 2.1 2.15 2.6 1.95 3.4 2.2 2.9 2.15 2.7 2.7 ...
## $ NumeroEstrellas : num 1.7 2.8 3.3 1.7 4.3 3 3.1 2.9 4.8 3.9 ...
summary(algoritmos_recomendacion)
## VelocidadEntrega Precio Durabilidad ImagenProducto
## Min. :0.000 Min. :0.1000 Min. :2.500 Min. :1.250
## 1st Qu.:1.250 1st Qu.:0.7375 1st Qu.:3.350 1st Qu.:2.288
## Median :1.700 Median :1.0750 Median :4.025 Median :2.500
## Mean :1.758 Mean :1.1820 Mean :3.947 Mean :2.624
## 3rd Qu.:2.300 3rd Qu.:1.6125 3rd Qu.:4.550 3rd Qu.:3.000
## Max. :3.050 Max. :2.7000 Max. :5.000 Max. :4.100
## ValorEducativo ServicioRetorno TamanoPaquete Calidad.Producto
## Min. :0.700 Min. :1.100 Min. :1.850 Min. :1.600
## 1st Qu.:2.400 1st Qu.:2.200 1st Qu.:2.900 1st Qu.:2.050
## Median :3.000 Median :2.600 Median :3.575 Median :2.425
## Mean :2.916 Mean :2.665 Mean :3.486 Mean :2.385
## 3rd Qu.:3.425 3rd Qu.:3.000 3rd Qu.:4.162 3rd Qu.:2.700
## Max. :4.600 Max. :4.600 Max. :5.000 Max. :3.400
## NumeroEstrellas
## Min. :1.000
## 1st Qu.:2.400
## Median :3.150
## Mean :3.110
## 3rd Qu.:3.825
## Max. :5.000
mean(algoritmos_recomendacion$VelocidadEntrega)
## [1] 1.7575
sd(algoritmos_recomendacion$VelocidadEntrega)
## [1] 0.6603632
Punto 7 Otro ejemplo
datos2 <- read.csv('SAheart.csv', header=TRUE, sep=';',dec=',')
datos2
## sbp tobacco ldl adiposity famhist typea obesity alcohol age chd
## 1 160 12.00 5.73 23.11 Present 49 25.30 97.20 52 Si
## 2 144 0.01 4.41 28.61 Absent 55 28.87 2.06 63 Si
## 3 118 0.08 3.48 32.28 Present 52 29.14 3.81 46 No
## 4 170 7.50 6.41 38.03 Present 51 31.99 24.26 58 Si
## 5 134 13.60 3.50 27.78 Present 60 25.99 57.34 49 Si
## 6 132 6.20 6.47 36.21 Present 62 30.77 14.14 45 No
## 7 142 4.05 3.38 16.20 Absent 59 20.81 2.62 38 No
## 8 114 4.08 4.59 14.60 Present 62 23.11 6.72 58 Si
## 9 114 0.00 3.83 19.40 Present 49 24.86 2.49 29 No
## 10 132 0.00 5.80 30.96 Present 69 30.11 0.00 53 Si
## 11 206 6.00 2.95 32.27 Absent 72 26.81 56.06 60 Si
## 12 134 14.10 4.44 22.39 Present 65 23.09 0.00 40 Si
## 13 118 0.00 1.88 10.05 Absent 59 21.57 0.00 17 No
## 14 132 0.00 1.87 17.21 Absent 49 23.63 0.97 15 No
## 15 112 9.65 2.29 17.20 Present 54 23.53 0.68 53 No
## 16 117 1.53 2.44 28.95 Present 35 25.89 30.03 46 No
## 17 120 7.50 15.33 22.00 Absent 60 25.31 34.49 49 No
## 18 146 10.50 8.29 35.36 Present 78 32.73 13.89 53 Si
## 19 158 2.60 7.46 34.07 Present 61 29.30 53.28 62 Si
## 20 124 14.00 6.23 35.96 Present 45 30.09 0.00 59 Si
## 21 106 1.61 1.74 12.32 Absent 74 20.92 13.37 20 Si
## 22 132 7.90 2.85 26.50 Present 51 26.16 25.71 44 No
## 23 150 0.30 6.38 33.99 Present 62 24.64 0.00 50 No
## 24 138 0.60 3.81 28.66 Absent 54 28.70 1.46 58 No
## 25 142 18.20 4.34 24.38 Absent 61 26.19 0.00 50 No
## 26 124 4.00 12.42 31.29 Present 54 23.23 2.06 42 Si
## 27 118 6.00 9.65 33.91 Absent 60 38.80 0.00 48 No
## 28 145 9.10 5.24 27.55 Absent 59 20.96 21.60 61 Si
## 29 144 4.09 5.55 31.40 Present 60 29.43 5.55 56 No
## 30 146 0.00 6.62 25.69 Absent 60 28.07 8.23 63 Si
## 31 136 2.52 3.95 25.63 Absent 51 21.86 0.00 45 Si
## 32 158 1.02 6.33 23.88 Absent 66 22.13 24.99 46 Si
## 33 122 6.60 5.58 35.95 Present 53 28.07 12.55 59 Si
## 34 126 8.75 6.53 34.02 Absent 49 30.25 0.00 41 Si
## 35 148 5.50 7.10 25.31 Absent 56 29.84 3.60 48 No
## 36 122 4.26 4.44 13.04 Absent 57 19.49 48.99 28 Si
## 37 140 3.90 7.32 25.05 Absent 47 27.36 36.77 32 No
## 38 110 4.64 4.55 30.46 Absent 48 30.90 15.22 46 No
## 39 130 0.00 2.82 19.63 Present 70 24.86 0.00 29 No
## 40 136 11.20 5.81 31.85 Present 75 27.68 22.94 58 Si
## 41 118 0.28 5.80 33.70 Present 60 30.98 0.00 41 Si
## 42 144 0.04 3.38 23.61 Absent 30 23.75 4.66 30 No
## 43 120 0.00 1.07 16.02 Absent 47 22.15 0.00 15 No
## 44 130 2.61 2.72 22.99 Present 51 26.29 13.37 51 Si
## 45 114 0.00 2.99 9.74 Absent 54 46.58 0.00 17 No
## 46 128 4.65 3.31 22.74 Absent 62 22.95 0.51 48 No
## 47 162 7.40 8.55 24.65 Present 64 25.71 5.86 58 Si
## 48 116 1.91 7.56 26.45 Present 52 30.01 3.60 33 Si
## 49 114 0.00 1.94 11.02 Absent 54 20.17 38.98 16 No
## 50 126 3.80 3.88 31.79 Absent 57 30.53 0.00 30 No
## 51 122 0.00 5.75 30.90 Present 46 29.01 4.11 42 No
## 52 134 2.50 3.66 30.90 Absent 52 27.19 23.66 49 No
## 53 152 0.90 9.12 30.23 Absent 56 28.64 0.37 42 Si
## 54 134 8.08 1.55 17.50 Present 56 22.65 66.65 31 Si
## 55 156 3.00 1.82 27.55 Absent 60 23.91 54.00 53 No
## 56 152 5.99 7.99 32.48 Absent 45 26.57 100.32 48 No
## 57 118 0.00 2.99 16.17 Absent 49 23.83 3.22 28 No
## 58 126 5.10 2.96 26.50 Absent 55 25.52 12.34 38 Si
## 59 103 0.03 4.21 18.96 Absent 48 22.94 2.62 18 No
## 60 121 0.80 5.29 18.95 Present 47 22.51 0.00 61 No
## 61 142 0.28 1.80 21.03 Absent 57 23.65 2.93 33 No
## 62 138 1.15 5.09 27.87 Present 61 25.65 2.34 44 No
## 63 152 10.10 4.71 24.65 Present 65 26.21 24.53 57 No
## 64 140 0.45 4.30 24.33 Absent 41 27.23 10.08 38 No
## 65 130 0.00 1.82 10.45 Absent 57 22.07 2.06 17 No
## 66 136 7.36 2.19 28.11 Present 61 25.00 61.71 54 No
## 67 124 4.82 3.24 21.10 Present 48 28.49 8.42 30 No
## 68 112 0.41 1.88 10.29 Absent 39 22.08 20.98 27 No
## 69 118 4.46 7.27 29.13 Present 48 29.01 11.11 33 No
## 70 122 0.00 3.37 16.10 Absent 67 21.06 0.00 32 Si
## 71 118 0.00 3.67 12.13 Absent 51 19.15 0.60 15 No
## 72 130 1.72 2.66 10.38 Absent 68 17.81 11.10 26 No
## 73 130 5.60 3.37 24.80 Absent 58 25.76 43.20 36 No
## 74 126 0.09 5.03 13.27 Present 50 17.75 4.63 20 No
## 75 128 0.40 6.17 26.35 Absent 64 27.86 11.11 34 No
## 76 136 0.00 4.12 17.42 Absent 52 21.66 12.86 40 No
## 77 134 0.00 5.90 30.84 Absent 49 29.16 0.00 55 No
## 78 140 0.60 5.56 33.39 Present 58 27.19 0.00 55 Si
## 79 168 4.50 6.68 28.47 Absent 43 24.25 24.38 56 Si
## 80 108 0.40 5.91 22.92 Present 57 25.72 72.00 39 No
## 81 114 3.00 7.04 22.64 Present 55 22.59 0.00 45 Si
## 82 140 8.14 4.93 42.49 Absent 53 45.72 6.43 53 Si
## 83 148 4.80 6.09 36.55 Present 63 25.44 0.88 55 Si
## 84 148 12.20 3.79 34.15 Absent 57 26.38 14.40 57 Si
## 85 128 0.00 2.43 13.15 Present 63 20.75 0.00 17 No
## 86 130 0.56 3.30 30.86 Absent 49 27.52 33.33 45 No
## 87 126 10.50 4.49 17.33 Absent 67 19.37 0.00 49 Si
## 88 140 0.00 5.08 27.33 Present 41 27.83 1.25 38 No
## 89 126 0.90 5.64 17.78 Present 55 21.94 0.00 41 No
## 90 122 0.72 4.04 32.38 Absent 34 28.34 0.00 55 No
## 91 116 1.03 2.83 10.85 Absent 45 21.59 1.75 21 No
## 92 120 3.70 4.02 39.66 Absent 61 30.57 0.00 64 Si
## 93 143 0.46 2.40 22.87 Absent 62 29.17 15.43 29 No
## 94 118 4.00 3.95 18.96 Absent 54 25.15 8.33 49 Si
## 95 194 1.70 6.32 33.67 Absent 47 30.16 0.19 56 No
## 96 134 3.00 4.37 23.07 Absent 56 20.54 9.65 62 No
## 97 138 2.16 4.90 24.83 Present 39 26.06 28.29 29 No
## 98 136 0.00 5.00 27.58 Present 49 27.59 1.47 39 No
## 99 122 3.20 11.32 35.36 Present 55 27.07 0.00 51 Si
## 100 164 12.00 3.91 19.59 Absent 51 23.44 19.75 39 No
## 101 136 8.00 7.85 23.81 Present 51 22.69 2.78 50 No
## 102 166 0.07 4.03 29.29 Absent 53 28.37 0.00 27 No
## 103 118 0.00 4.34 30.12 Present 52 32.18 3.91 46 No
## 104 128 0.42 4.60 26.68 Absent 41 30.97 10.33 31 No
## 105 118 1.50 5.38 25.84 Absent 64 28.63 3.89 29 No
## 106 158 3.60 2.97 30.11 Absent 63 26.64 108.00 64 No
## 107 108 1.50 4.33 24.99 Absent 66 22.29 21.60 61 Si
## 108 170 7.60 5.50 37.83 Present 42 37.41 6.17 54 Si
## 109 118 1.00 5.76 22.10 Absent 62 23.48 7.71 42 No
## 110 124 0.00 3.04 17.33 Absent 49 22.04 0.00 18 No
## 111 114 0.00 8.01 21.64 Absent 66 25.51 2.49 16 No
## 112 168 9.00 8.53 24.48 Present 69 26.18 4.63 54 Si
## 113 134 2.00 3.66 14.69 Absent 52 21.03 2.06 37 No
## 114 174 0.00 8.46 35.10 Present 35 25.27 0.00 61 Si
## 115 116 31.20 3.17 14.99 Absent 47 19.40 49.06 59 Si
## 116 128 0.00 10.58 31.81 Present 46 28.41 14.66 48 No
## 117 140 4.50 4.59 18.01 Absent 63 21.91 22.09 32 Si
## 118 154 0.70 5.91 25.00 Absent 13 20.60 0.00 42 No
## 119 150 3.50 6.99 25.39 Present 50 23.35 23.48 61 Si
## 120 130 0.00 3.92 25.55 Absent 68 28.02 0.68 27 No
## 121 128 2.00 6.13 21.31 Absent 66 22.86 11.83 60 No
## 122 120 1.40 6.25 20.47 Absent 60 25.85 8.51 28 No
## 123 120 0.00 5.01 26.13 Absent 64 26.21 12.24 33 No
## 124 138 4.50 2.85 30.11 Absent 55 24.78 24.89 56 Si
## 125 153 7.80 3.96 25.73 Absent 54 25.91 27.03 45 No
## 126 123 8.60 11.17 35.28 Present 70 33.14 0.00 59 Si
## 127 148 4.04 3.99 20.69 Absent 60 27.78 1.75 28 No
## 128 136 3.96 2.76 30.28 Present 50 34.42 18.51 38 No
## 129 134 8.80 7.41 26.84 Absent 35 29.44 29.52 60 Si
## 130 152 12.18 4.04 37.83 Present 63 34.57 4.17 64 No
## 131 158 13.50 5.04 30.79 Absent 54 24.79 21.50 62 No
## 132 132 2.00 3.08 35.39 Absent 45 31.44 79.82 58 Si
## 133 134 1.50 3.73 21.53 Absent 41 24.70 11.11 30 Si
## 134 142 7.44 5.52 33.97 Absent 47 29.29 24.27 54 No
## 135 134 6.00 3.30 28.45 Absent 65 26.09 58.11 40 No
## 136 122 4.18 9.05 29.27 Present 44 24.05 19.34 52 Si
## 137 116 2.70 3.69 13.52 Absent 55 21.13 18.51 32 No
## 138 128 0.50 3.70 12.81 Present 66 21.25 22.73 28 No
## 139 120 0.00 3.68 12.24 Absent 51 20.52 0.51 20 No
## 140 124 0.00 3.95 36.35 Present 59 32.83 9.59 54 No
## 141 160 14.00 5.90 37.12 Absent 58 33.87 3.52 54 Si
## 142 130 2.78 4.89 9.39 Present 63 19.30 17.47 25 Si
## 143 128 2.80 5.53 14.29 Absent 64 24.97 0.51 38 No
## 144 130 4.50 5.86 37.43 Absent 61 31.21 32.30 58 No
## 145 109 1.20 6.14 29.26 Absent 47 24.72 10.46 40 No
## 146 144 0.00 3.84 18.72 Absent 56 22.10 4.80 40 No
## 147 118 1.05 3.16 12.98 Present 46 22.09 16.35 31 No
## 148 136 3.46 6.38 32.25 Present 43 28.73 3.13 43 Si
## 149 136 1.50 6.06 26.54 Absent 54 29.38 14.50 33 Si
## 150 124 15.50 5.05 24.06 Absent 46 23.22 0.00 61 Si
## 151 148 6.00 6.49 26.47 Absent 48 24.70 0.00 55 No
## 152 128 6.60 3.58 20.71 Absent 55 24.15 0.00 52 No
## 153 122 0.28 4.19 19.97 Absent 61 25.63 0.00 24 No
## 154 108 0.00 2.74 11.17 Absent 53 22.61 0.95 20 No
## 155 124 3.04 4.80 19.52 Present 60 21.78 147.19 41 Si
## 156 138 8.80 3.12 22.41 Present 63 23.33 120.03 55 Si
## 157 127 0.00 2.81 15.70 Absent 42 22.03 1.03 17 No
## 158 174 9.45 5.13 35.54 Absent 55 30.71 59.79 53 No
## 159 122 0.00 3.05 23.51 Absent 46 25.81 0.00 38 No
## 160 144 6.75 5.45 29.81 Absent 53 25.62 26.23 43 Si
## 161 126 1.80 6.22 19.71 Absent 65 24.81 0.69 31 No
## 162 208 27.40 3.12 26.63 Absent 66 27.45 33.07 62 Si
## 163 138 0.00 2.68 17.04 Absent 42 22.16 0.00 16 No
## 164 148 0.00 3.84 17.26 Absent 70 20.00 0.00 21 No
## 165 122 0.00 3.08 16.30 Absent 43 22.13 0.00 16 No
## 166 132 7.00 3.20 23.26 Absent 77 23.64 23.14 49 No
## 167 110 12.16 4.99 28.56 Absent 44 27.14 21.60 55 Si
## 168 160 1.52 8.12 29.30 Present 54 25.87 12.86 43 Si
## 169 126 0.54 4.39 21.13 Present 45 25.99 0.00 25 No
## 170 162 5.30 7.95 33.58 Present 58 36.06 8.23 48 No
## 171 194 2.55 6.89 33.88 Present 69 29.33 0.00 41 No
## 172 118 0.75 2.58 20.25 Absent 59 24.46 0.00 32 No
## 173 124 0.00 4.79 34.71 Absent 49 26.09 9.26 47 No
## 174 160 0.00 2.42 34.46 Absent 48 29.83 1.03 61 No
## 175 128 0.00 2.51 29.35 Present 53 22.05 1.37 62 No
## 176 122 4.00 5.24 27.89 Present 45 26.52 0.00 61 Si
## 177 132 2.00 2.70 21.57 Present 50 27.95 9.26 37 No
## 178 120 0.00 2.42 16.66 Absent 46 20.16 0.00 17 No
## 179 128 0.04 8.22 28.17 Absent 65 26.24 11.73 24 No
## 180 108 15.00 4.91 34.65 Absent 41 27.96 14.40 56 No
## 181 166 0.00 4.31 34.27 Absent 45 30.14 13.27 56 No
## 182 152 0.00 6.06 41.05 Present 51 40.34 0.00 51 No
## 183 170 4.20 4.67 35.45 Present 50 27.14 7.92 60 Si
## 184 156 4.00 2.05 19.48 Present 50 21.48 27.77 39 Si
## 185 116 8.00 6.73 28.81 Present 41 26.74 40.94 48 Si
## 186 122 4.40 3.18 11.59 Present 59 21.94 0.00 33 Si
## 187 150 20.00 6.40 35.04 Absent 53 28.88 8.33 63 No
## 188 129 2.15 5.17 27.57 Absent 52 25.42 2.06 39 No
## 189 134 4.80 6.58 29.89 Present 55 24.73 23.66 63 No
## 190 126 0.00 5.98 29.06 Present 56 25.39 11.52 64 Si
## 191 142 0.00 3.72 25.68 Absent 48 24.37 5.25 40 Si
## 192 128 0.70 4.90 37.42 Present 72 35.94 3.09 49 Si
## 193 102 0.40 3.41 17.22 Present 56 23.59 2.06 39 Si
## 194 130 0.00 4.89 25.98 Absent 72 30.42 14.71 23 No
## 195 138 0.05 2.79 10.35 Absent 46 21.62 0.00 18 No
## 196 138 0.00 1.96 11.82 Present 54 22.01 8.13 21 No
## 197 128 0.00 3.09 20.57 Absent 54 25.63 0.51 17 No
## 198 162 2.92 3.63 31.33 Absent 62 31.59 18.51 42 No
## 199 160 3.00 9.19 26.47 Present 39 28.25 14.40 54 Si
## 200 148 0.00 4.66 24.39 Absent 50 25.26 4.03 27 No
## 201 124 0.16 2.44 16.67 Absent 65 24.58 74.91 23 No
## 202 136 3.15 4.37 20.22 Present 59 25.12 47.16 31 Si
## 203 134 2.75 5.51 26.17 Absent 57 29.87 8.33 33 No
## 204 128 0.73 3.97 23.52 Absent 54 23.81 19.20 64 No
## 205 122 3.20 3.59 22.49 Present 45 24.96 36.17 58 No
## 206 152 3.00 4.64 31.29 Absent 41 29.34 4.53 40 No
## 207 162 0.00 5.09 24.60 Present 64 26.71 3.81 18 No
## 208 124 4.00 6.65 30.84 Present 54 28.40 33.51 60 No
## 209 136 5.80 5.90 27.55 Absent 65 25.71 14.40 59 No
## 210 136 8.80 4.26 32.03 Present 52 31.44 34.35 60 No
## 211 134 0.05 8.03 27.95 Absent 48 26.88 0.00 60 No
## 212 122 1.00 5.88 34.81 Present 69 31.27 15.94 40 Si
## 213 116 3.00 3.05 30.31 Absent 41 23.63 0.86 44 No
## 214 132 0.00 0.98 21.39 Absent 62 26.75 0.00 53 No
## 215 134 0.00 2.40 21.11 Absent 57 22.45 1.37 18 No
## 216 160 7.77 8.07 34.80 Absent 64 31.15 0.00 62 Si
## 217 180 0.52 4.23 16.38 Absent 55 22.56 14.77 45 Si
## 218 124 0.81 6.16 11.61 Absent 35 21.47 10.49 26 No
## 219 114 0.00 4.97 9.69 Absent 26 22.60 0.00 25 No
## 220 208 7.40 7.41 32.03 Absent 50 27.62 7.85 57 No
## 221 138 0.00 3.14 12.00 Absent 54 20.28 0.00 16 No
## 222 164 0.50 6.95 39.64 Present 47 41.76 3.81 46 Si
## 223 144 2.40 8.13 35.61 Absent 46 27.38 13.37 60 No
## 224 136 7.50 7.39 28.04 Present 50 25.01 0.00 45 Si
## 225 132 7.28 3.52 12.33 Absent 60 19.48 2.06 56 No
## 226 143 5.04 4.86 23.59 Absent 58 24.69 18.72 42 No
## 227 112 4.46 7.18 26.25 Present 69 27.29 0.00 32 Si
## 228 134 10.00 3.79 34.72 Absent 42 28.33 28.80 52 Si
## 229 138 2.00 5.11 31.40 Present 49 27.25 2.06 64 Si
## 230 188 0.00 5.47 32.44 Present 71 28.99 7.41 50 Si
## 231 110 2.35 3.36 26.72 Present 54 26.08 109.80 58 Si
## 232 136 13.20 7.18 35.95 Absent 48 29.19 0.00 62 No
## 233 130 1.75 5.46 34.34 Absent 53 29.42 0.00 58 Si
## 234 122 0.00 3.76 24.59 Absent 56 24.36 0.00 30 No
## 235 138 0.00 3.24 27.68 Absent 60 25.70 88.66 29 No
## 236 130 18.00 4.13 27.43 Absent 54 27.44 0.00 51 Si
## 237 126 5.50 3.78 34.15 Absent 55 28.85 3.18 61 No
## 238 176 5.76 4.89 26.10 Present 46 27.30 19.44 57 No
## 239 122 0.00 5.49 19.56 Absent 57 23.12 14.02 27 No
## 240 124 0.00 3.23 9.64 Absent 59 22.70 0.00 16 No
## 241 140 5.20 3.58 29.26 Absent 70 27.29 20.17 45 Si
## 242 128 6.00 4.37 22.98 Present 50 26.01 0.00 47 No
## 243 190 4.18 5.05 24.83 Absent 45 26.09 82.85 41 No
## 244 144 0.76 10.53 35.66 Absent 63 34.35 0.00 55 Si
## 245 126 4.60 7.40 31.99 Present 57 28.67 0.37 60 Si
## 246 128 0.00 2.63 23.88 Absent 45 21.59 6.54 57 No
## 247 136 0.40 3.91 21.10 Present 63 22.30 0.00 56 Si
## 248 158 4.00 4.18 28.61 Present 42 25.11 0.00 60 No
## 249 160 0.60 6.94 30.53 Absent 36 25.68 1.42 64 No
## 250 124 6.00 5.21 33.02 Present 64 29.37 7.61 58 Si
## 251 158 6.17 8.12 30.75 Absent 46 27.84 92.62 48 No
## 252 128 0.00 6.34 11.87 Absent 57 23.14 0.00 17 No
## 253 166 3.00 3.82 26.75 Absent 45 20.86 0.00 63 Si
## 254 146 7.50 7.21 25.93 Present 55 22.51 0.51 42 No
## 255 161 9.00 4.65 15.16 Present 58 23.76 43.20 46 No
## 256 164 13.02 6.26 29.38 Present 47 22.75 37.03 54 Si
## 257 146 5.08 7.03 27.41 Present 63 36.46 24.48 37 Si
## 258 142 4.48 3.57 19.75 Present 51 23.54 3.29 49 No
## 259 138 12.00 5.13 28.34 Absent 59 24.49 32.81 58 Si
## 260 154 1.80 7.13 34.04 Present 52 35.51 39.36 44 No
## 261 118 0.00 2.39 12.13 Absent 49 18.46 0.26 17 Si
## 262 124 0.61 2.69 17.15 Present 61 22.76 11.55 20 No
## 263 124 1.04 2.84 16.42 Present 46 20.17 0.00 61 No
## 264 136 5.00 4.19 23.99 Present 68 27.80 25.86 35 No
## 265 132 9.90 4.63 27.86 Present 46 23.39 0.51 52 Si
## 266 118 0.12 1.96 20.31 Absent 37 20.01 2.42 18 No
## 267 118 0.12 4.16 9.37 Absent 57 19.61 0.00 17 No
## 268 134 12.00 4.96 29.79 Absent 53 24.86 8.23 57 No
## 269 114 0.10 3.95 15.89 Present 57 20.31 17.14 16 No
## 270 136 6.80 7.84 30.74 Present 58 26.20 23.66 45 Si
## 271 130 0.00 4.16 39.43 Present 46 30.01 0.00 55 Si
## 272 136 2.20 4.16 38.02 Absent 65 37.24 4.11 41 Si
## 273 136 1.36 3.16 14.97 Present 56 24.98 7.30 24 No
## 274 154 4.20 5.59 25.02 Absent 58 25.02 1.54 43 No
## 275 108 0.80 2.47 17.53 Absent 47 22.18 0.00 55 Si
## 276 136 8.80 4.69 36.07 Present 38 26.56 2.78 63 Si
## 277 174 2.02 6.57 31.90 Present 50 28.75 11.83 64 Si
## 278 124 4.25 8.22 30.77 Absent 56 25.80 0.00 43 No
## 279 114 0.00 2.63 9.69 Absent 45 17.89 0.00 16 No
## 280 118 0.12 3.26 12.26 Absent 55 22.65 0.00 16 No
## 281 106 1.08 4.37 26.08 Absent 67 24.07 17.74 28 Si
## 282 146 3.60 3.51 22.67 Absent 51 22.29 43.71 42 No
## 283 206 0.00 4.17 33.23 Absent 69 27.36 6.17 50 Si
## 284 134 3.00 3.17 17.91 Absent 35 26.37 15.12 27 No
## 285 148 15.00 4.98 36.94 Present 72 31.83 66.27 41 Si
## 286 126 0.21 3.95 15.11 Absent 61 22.17 2.42 17 No
## 287 134 0.00 3.69 13.92 Absent 43 27.66 0.00 19 No
## 288 134 0.02 2.80 18.84 Absent 45 24.82 0.00 17 No
## 289 123 0.05 4.61 13.69 Absent 51 23.23 2.78 16 No
## 290 112 0.60 5.28 25.71 Absent 55 27.02 27.77 38 Si
## 291 112 0.00 1.71 15.96 Absent 42 22.03 3.50 16 No
## 292 101 0.48 7.26 13.00 Absent 50 19.82 5.19 16 No
## 293 150 0.18 4.14 14.40 Absent 53 23.43 7.71 44 No
## 294 170 2.60 7.22 28.69 Present 71 27.87 37.65 56 Si
## 295 134 0.00 5.63 29.12 Absent 68 32.33 2.02 34 No
## 296 142 0.00 4.19 18.04 Absent 56 23.65 20.78 42 Si
## 297 132 0.10 3.28 10.73 Absent 73 20.42 0.00 17 No
## 298 136 0.00 2.28 18.14 Absent 55 22.59 0.00 17 No
## 299 132 12.00 4.51 21.93 Absent 61 26.07 64.80 46 Si
## 300 166 4.10 4.00 34.30 Present 32 29.51 8.23 53 No
## 301 138 0.00 3.96 24.70 Present 53 23.80 0.00 45 No
## 302 138 2.27 6.41 29.07 Absent 58 30.22 2.93 32 Si
## 303 170 0.00 3.12 37.15 Absent 47 35.42 0.00 53 No
## 304 128 0.00 8.41 28.82 Present 60 26.86 0.00 59 Si
## 305 136 1.20 2.78 7.12 Absent 52 22.51 3.41 27 No
## 306 128 0.00 3.22 26.55 Present 39 26.59 16.71 49 No
## 307 150 14.40 5.04 26.52 Present 60 28.84 0.00 45 No
## 308 132 8.40 3.57 13.68 Absent 42 18.75 15.43 59 Si
## 309 142 2.40 2.55 23.89 Absent 54 26.09 59.14 37 No
## 310 130 0.05 2.44 28.25 Present 67 30.86 40.32 34 No
## 311 174 3.50 5.26 21.97 Present 36 22.04 8.33 59 Si
## 312 114 9.60 2.51 29.18 Absent 49 25.67 40.63 46 No
## 313 162 1.50 2.46 19.39 Present 49 24.32 0.00 59 Si
## 314 174 0.00 3.27 35.40 Absent 58 37.71 24.95 44 No
## 315 190 5.15 6.03 36.59 Absent 42 30.31 72.00 50 No
## 316 154 1.40 1.72 18.86 Absent 58 22.67 43.20 59 No
## 317 124 0.00 2.28 24.86 Present 50 22.24 8.26 38 No
## 318 114 1.20 3.98 14.90 Absent 49 23.79 25.82 26 No
## 319 168 11.40 5.08 26.66 Present 56 27.04 2.61 59 Si
## 320 142 3.72 4.24 32.57 Absent 52 24.98 7.61 51 No
## 321 154 0.00 4.81 28.11 Present 56 25.67 75.77 59 No
## 322 146 4.36 4.31 18.44 Present 47 24.72 10.80 38 No
## 323 166 6.00 3.02 29.30 Absent 35 24.38 38.06 61 No
## 324 140 8.60 3.90 32.16 Present 52 28.51 11.11 64 Si
## 325 136 1.70 3.53 20.13 Absent 56 19.44 14.40 55 No
## 326 156 0.00 3.47 21.10 Absent 73 28.40 0.00 36 Si
## 327 132 0.00 6.63 29.58 Present 37 29.41 2.57 62 No
## 328 128 0.00 2.98 12.59 Absent 65 20.74 2.06 19 No
## 329 106 5.60 3.20 12.30 Absent 49 20.29 0.00 39 No
## 330 144 0.40 4.64 30.09 Absent 30 27.39 0.74 55 No
## 331 154 0.31 2.33 16.48 Absent 33 24.00 11.83 17 No
## 332 126 3.10 2.01 32.97 Present 56 28.63 26.74 45 No
## 333 134 6.40 8.49 37.25 Present 56 28.94 10.49 51 Si
## 334 152 19.45 4.22 29.81 Absent 28 23.95 0.00 59 Si
## 335 146 1.35 6.39 34.21 Absent 51 26.43 0.00 59 Si
## 336 162 6.94 4.55 33.36 Present 52 27.09 32.06 43 No
## 337 130 7.28 3.56 23.29 Present 20 26.80 51.87 58 Si
## 338 138 6.00 7.24 37.05 Absent 38 28.69 0.00 59 No
## 339 148 0.00 5.32 26.71 Present 52 32.21 32.78 27 No
## 340 124 4.20 2.94 27.59 Absent 50 30.31 85.06 30 No
## 341 118 1.62 9.01 21.70 Absent 59 25.89 21.19 40 No
## 342 116 4.28 7.02 19.99 Present 68 23.31 0.00 52 Si
## 343 162 6.30 5.73 22.61 Present 46 20.43 62.54 53 Si
## 344 138 0.87 1.87 15.89 Absent 44 26.76 42.99 31 No
## 345 137 1.20 3.14 23.87 Absent 66 24.13 45.00 37 No
## 346 198 0.52 11.89 27.68 Present 48 28.40 78.99 26 Si
## 347 154 4.50 4.75 23.52 Present 43 25.76 0.00 53 Si
## 348 128 5.40 2.36 12.98 Absent 51 18.36 6.69 61 No
## 349 130 0.08 5.59 25.42 Present 50 24.98 6.27 43 Si
## 350 162 5.60 4.24 22.53 Absent 29 22.91 5.66 60 No
## 351 120 10.50 2.70 29.87 Present 54 24.50 16.46 49 No
## 352 136 3.99 2.58 16.38 Present 53 22.41 27.67 36 No
## 353 176 1.20 8.28 36.16 Present 42 27.81 11.60 58 Si
## 354 134 11.79 4.01 26.57 Present 38 21.79 38.88 61 Si
## 355 122 1.70 5.28 32.23 Present 51 24.08 0.00 54 No
## 356 134 0.90 3.18 23.66 Present 52 23.26 27.36 58 Si
## 357 134 0.00 2.43 22.24 Absent 52 26.49 41.66 24 No
## 358 136 6.60 6.08 32.74 Absent 64 33.28 2.72 49 No
## 359 132 4.05 5.15 26.51 Present 31 26.67 16.30 50 No
## 360 152 1.68 3.58 25.43 Absent 50 27.03 0.00 32 No
## 361 132 12.30 5.96 32.79 Present 57 30.12 21.50 62 Si
## 362 124 0.40 3.67 25.76 Absent 43 28.08 20.57 34 No
## 363 140 4.20 2.91 28.83 Present 43 24.70 47.52 48 No
## 364 166 0.60 2.42 34.03 Present 53 26.96 54.00 60 No
## 365 156 3.02 5.35 25.72 Present 53 25.22 28.11 52 Si
## 366 132 0.72 4.37 19.54 Absent 48 26.11 49.37 28 No
## 367 150 0.00 4.99 27.73 Absent 57 30.92 8.33 24 No
## 368 134 0.12 3.40 21.18 Present 33 26.27 14.21 30 No
## 369 126 3.40 4.87 15.16 Present 65 22.01 11.11 38 No
## 370 148 0.50 5.97 32.88 Absent 54 29.27 6.43 42 No
## 371 148 8.20 7.75 34.46 Present 46 26.53 6.04 64 Si
## 372 132 6.00 5.97 25.73 Present 66 24.18 145.29 41 No
## 373 128 1.60 5.41 29.30 Absent 68 29.38 23.97 32 No
## 374 128 5.16 4.90 31.35 Present 57 26.42 0.00 64 No
## 375 140 0.00 2.40 27.89 Present 70 30.74 144.00 29 No
## 376 126 0.00 5.29 27.64 Absent 25 27.62 2.06 45 No
## 377 114 3.60 4.16 22.58 Absent 60 24.49 65.31 31 No
## 378 118 1.25 4.69 31.58 Present 52 27.16 4.11 53 No
## 379 126 0.96 4.99 29.74 Absent 66 33.35 58.32 38 No
## 380 154 4.50 4.68 39.97 Absent 61 33.17 1.54 64 Si
## 381 112 1.44 2.71 22.92 Absent 59 24.81 0.00 52 No
## 382 140 8.00 4.42 33.15 Present 47 32.77 66.86 44 No
## 383 140 1.68 11.41 29.54 Present 74 30.75 2.06 38 Si
## 384 128 2.60 4.94 21.36 Absent 61 21.30 0.00 31 No
## 385 126 19.60 6.03 34.99 Absent 49 26.99 55.89 44 No
## 386 160 4.20 6.76 37.99 Present 61 32.91 3.09 54 Si
## 387 144 0.00 4.17 29.63 Present 52 21.83 0.00 59 No
## 388 148 4.50 10.49 33.27 Absent 50 25.92 2.06 53 Si
## 389 146 0.00 4.92 18.53 Absent 57 24.20 34.97 26 No
## 390 164 5.60 3.17 30.98 Present 44 25.99 43.20 53 Si
## 391 130 0.54 3.63 22.03 Present 69 24.34 12.86 39 Si
## 392 154 2.40 5.63 42.17 Present 59 35.07 12.86 50 Si
## 393 178 0.95 4.75 21.06 Absent 49 23.74 24.69 61 No
## 394 180 3.57 3.57 36.10 Absent 36 26.70 19.95 64 No
## 395 134 12.50 2.73 39.35 Absent 48 35.58 0.00 48 No
## 396 142 0.00 3.54 16.64 Absent 58 25.97 8.36 27 No
## 397 162 7.00 7.67 34.34 Present 33 30.77 0.00 62 No
## 398 218 11.20 2.77 30.79 Absent 38 24.86 90.93 48 Si
## 399 126 8.75 6.06 32.72 Present 33 27.00 62.43 55 Si
## 400 126 0.00 3.57 26.01 Absent 61 26.30 7.97 47 No
## 401 134 6.10 4.77 26.08 Absent 47 23.82 1.03 49 No
## 402 132 0.00 4.17 36.57 Absent 57 30.61 18.00 49 No
## 403 178 5.50 3.79 23.92 Present 45 21.26 6.17 62 Si
## 404 208 5.04 5.19 20.71 Present 52 25.12 24.27 58 Si
## 405 160 1.15 10.19 39.71 Absent 31 31.65 20.52 57 No
## 406 116 2.38 5.67 29.01 Present 54 27.26 15.77 51 No
## 407 180 25.01 3.70 38.11 Present 57 30.54 0.00 61 Si
## 408 200 19.20 4.43 40.60 Present 55 32.04 36.00 60 Si
## 409 112 4.20 3.58 27.14 Absent 52 26.83 2.06 40 No
## 410 120 0.00 3.10 26.97 Absent 41 24.80 0.00 16 No
## 411 178 20.00 9.78 33.55 Absent 37 27.29 2.88 62 Si
## 412 166 0.80 5.63 36.21 Absent 50 34.72 28.80 60 No
## 413 164 8.20 14.16 36.85 Absent 52 28.50 17.02 55 Si
## 414 216 0.92 2.66 19.85 Present 49 20.58 0.51 63 Si
## 415 146 6.40 5.62 33.05 Present 57 31.03 0.74 46 No
## 416 134 1.10 3.54 20.41 Present 58 24.54 39.91 39 Si
## 417 158 16.00 5.56 29.35 Absent 36 25.92 58.32 60 No
## 418 176 0.00 3.14 31.04 Present 45 30.18 4.63 45 No
## 419 132 2.80 4.79 20.47 Present 50 22.15 11.73 48 No
## 420 126 0.00 4.55 29.18 Absent 48 24.94 36.00 41 No
## 421 120 5.50 3.51 23.23 Absent 46 22.40 90.31 43 No
## 422 174 0.00 3.86 21.73 Absent 42 23.37 0.00 63 No
## 423 150 13.80 5.10 29.45 Present 52 27.92 77.76 55 Si
## 424 176 6.00 3.98 17.20 Present 52 21.07 4.11 61 Si
## 425 142 2.20 3.29 22.70 Absent 44 23.66 5.66 42 Si
## 426 132 0.00 3.30 21.61 Absent 42 24.92 32.61 33 No
## 427 142 1.32 7.63 29.98 Present 57 31.16 72.93 33 No
## 428 146 1.16 2.28 34.53 Absent 50 28.71 45.00 49 No
## 429 132 7.20 3.65 17.16 Present 56 23.25 0.00 34 No
## 430 120 0.00 3.57 23.22 Absent 58 27.20 0.00 32 No
## 431 118 0.00 3.89 15.96 Absent 65 20.18 0.00 16 No
## 432 108 0.00 1.43 26.26 Absent 42 19.38 0.00 16 No
## 433 136 0.00 4.00 19.06 Absent 40 21.94 2.06 16 No
## 434 120 0.00 2.46 13.39 Absent 47 22.01 0.51 18 No
## 435 132 0.00 3.55 8.66 Present 61 18.50 3.87 16 No
## 436 136 0.00 1.77 20.37 Absent 45 21.51 2.06 16 No
## 437 138 0.00 1.86 18.35 Present 59 25.38 6.51 17 No
## 438 138 0.06 4.15 20.66 Absent 49 22.59 2.49 16 No
## 439 130 1.22 3.30 13.65 Absent 50 21.40 3.81 31 No
## 440 130 4.00 2.40 17.42 Absent 60 22.05 0.00 40 No
## 441 110 0.00 7.14 28.28 Absent 57 29.00 0.00 32 No
## 442 120 0.00 3.98 13.19 Present 47 21.89 0.00 16 No
## 443 166 6.00 8.80 37.89 Absent 39 28.70 43.20 52 No
## 444 134 0.57 4.75 23.07 Absent 67 26.33 0.00 37 No
## 445 142 3.00 3.69 25.10 Absent 60 30.08 38.88 27 No
## 446 136 2.80 2.53 9.28 Present 61 20.70 4.55 25 No
## 447 142 0.00 4.32 25.22 Absent 47 28.92 6.53 34 Si
## 448 130 0.00 1.88 12.51 Present 52 20.28 0.00 17 No
## 449 124 1.80 3.74 16.64 Present 42 22.26 10.49 20 No
## 450 144 4.00 5.03 25.78 Present 57 27.55 90.00 48 Si
## 451 136 1.81 3.31 6.74 Absent 63 19.57 24.94 24 No
## 452 120 0.00 2.77 13.35 Absent 67 23.37 1.03 18 No
## 453 154 5.53 3.20 28.81 Present 61 26.15 42.79 42 No
## 454 124 1.60 7.22 39.68 Present 36 31.50 0.00 51 Si
## 455 146 0.64 4.82 28.02 Absent 60 28.11 8.23 39 Si
## 456 128 2.24 2.83 26.48 Absent 48 23.96 47.42 27 Si
## 457 170 0.40 4.11 42.06 Present 56 33.10 2.06 57 No
## 458 214 0.40 5.98 31.72 Absent 64 28.45 0.00 58 No
## 459 182 4.20 4.41 32.10 Absent 52 28.61 18.72 52 Si
## 460 108 3.00 1.59 15.23 Absent 40 20.09 26.64 55 No
## 461 118 5.40 11.61 30.79 Absent 64 27.35 23.97 40 No
## 462 132 0.00 4.82 33.41 Present 62 14.70 0.00 46 Si
SAheart <- as.data.frame(datos2)
SAheart
## sbp tobacco ldl adiposity famhist typea obesity alcohol age chd
## 1 160 12.00 5.73 23.11 Present 49 25.30 97.20 52 Si
## 2 144 0.01 4.41 28.61 Absent 55 28.87 2.06 63 Si
## 3 118 0.08 3.48 32.28 Present 52 29.14 3.81 46 No
## 4 170 7.50 6.41 38.03 Present 51 31.99 24.26 58 Si
## 5 134 13.60 3.50 27.78 Present 60 25.99 57.34 49 Si
## 6 132 6.20 6.47 36.21 Present 62 30.77 14.14 45 No
## 7 142 4.05 3.38 16.20 Absent 59 20.81 2.62 38 No
## 8 114 4.08 4.59 14.60 Present 62 23.11 6.72 58 Si
## 9 114 0.00 3.83 19.40 Present 49 24.86 2.49 29 No
## 10 132 0.00 5.80 30.96 Present 69 30.11 0.00 53 Si
## 11 206 6.00 2.95 32.27 Absent 72 26.81 56.06 60 Si
## 12 134 14.10 4.44 22.39 Present 65 23.09 0.00 40 Si
## 13 118 0.00 1.88 10.05 Absent 59 21.57 0.00 17 No
## 14 132 0.00 1.87 17.21 Absent 49 23.63 0.97 15 No
## 15 112 9.65 2.29 17.20 Present 54 23.53 0.68 53 No
## 16 117 1.53 2.44 28.95 Present 35 25.89 30.03 46 No
## 17 120 7.50 15.33 22.00 Absent 60 25.31 34.49 49 No
## 18 146 10.50 8.29 35.36 Present 78 32.73 13.89 53 Si
## 19 158 2.60 7.46 34.07 Present 61 29.30 53.28 62 Si
## 20 124 14.00 6.23 35.96 Present 45 30.09 0.00 59 Si
## 21 106 1.61 1.74 12.32 Absent 74 20.92 13.37 20 Si
## 22 132 7.90 2.85 26.50 Present 51 26.16 25.71 44 No
## 23 150 0.30 6.38 33.99 Present 62 24.64 0.00 50 No
## 24 138 0.60 3.81 28.66 Absent 54 28.70 1.46 58 No
## 25 142 18.20 4.34 24.38 Absent 61 26.19 0.00 50 No
## 26 124 4.00 12.42 31.29 Present 54 23.23 2.06 42 Si
## 27 118 6.00 9.65 33.91 Absent 60 38.80 0.00 48 No
## 28 145 9.10 5.24 27.55 Absent 59 20.96 21.60 61 Si
## 29 144 4.09 5.55 31.40 Present 60 29.43 5.55 56 No
## 30 146 0.00 6.62 25.69 Absent 60 28.07 8.23 63 Si
## 31 136 2.52 3.95 25.63 Absent 51 21.86 0.00 45 Si
## 32 158 1.02 6.33 23.88 Absent 66 22.13 24.99 46 Si
## 33 122 6.60 5.58 35.95 Present 53 28.07 12.55 59 Si
## 34 126 8.75 6.53 34.02 Absent 49 30.25 0.00 41 Si
## 35 148 5.50 7.10 25.31 Absent 56 29.84 3.60 48 No
## 36 122 4.26 4.44 13.04 Absent 57 19.49 48.99 28 Si
## 37 140 3.90 7.32 25.05 Absent 47 27.36 36.77 32 No
## 38 110 4.64 4.55 30.46 Absent 48 30.90 15.22 46 No
## 39 130 0.00 2.82 19.63 Present 70 24.86 0.00 29 No
## 40 136 11.20 5.81 31.85 Present 75 27.68 22.94 58 Si
## 41 118 0.28 5.80 33.70 Present 60 30.98 0.00 41 Si
## 42 144 0.04 3.38 23.61 Absent 30 23.75 4.66 30 No
## 43 120 0.00 1.07 16.02 Absent 47 22.15 0.00 15 No
## 44 130 2.61 2.72 22.99 Present 51 26.29 13.37 51 Si
## 45 114 0.00 2.99 9.74 Absent 54 46.58 0.00 17 No
## 46 128 4.65 3.31 22.74 Absent 62 22.95 0.51 48 No
## 47 162 7.40 8.55 24.65 Present 64 25.71 5.86 58 Si
## 48 116 1.91 7.56 26.45 Present 52 30.01 3.60 33 Si
## 49 114 0.00 1.94 11.02 Absent 54 20.17 38.98 16 No
## 50 126 3.80 3.88 31.79 Absent 57 30.53 0.00 30 No
## 51 122 0.00 5.75 30.90 Present 46 29.01 4.11 42 No
## 52 134 2.50 3.66 30.90 Absent 52 27.19 23.66 49 No
## 53 152 0.90 9.12 30.23 Absent 56 28.64 0.37 42 Si
## 54 134 8.08 1.55 17.50 Present 56 22.65 66.65 31 Si
## 55 156 3.00 1.82 27.55 Absent 60 23.91 54.00 53 No
## 56 152 5.99 7.99 32.48 Absent 45 26.57 100.32 48 No
## 57 118 0.00 2.99 16.17 Absent 49 23.83 3.22 28 No
## 58 126 5.10 2.96 26.50 Absent 55 25.52 12.34 38 Si
## 59 103 0.03 4.21 18.96 Absent 48 22.94 2.62 18 No
## 60 121 0.80 5.29 18.95 Present 47 22.51 0.00 61 No
## 61 142 0.28 1.80 21.03 Absent 57 23.65 2.93 33 No
## 62 138 1.15 5.09 27.87 Present 61 25.65 2.34 44 No
## 63 152 10.10 4.71 24.65 Present 65 26.21 24.53 57 No
## 64 140 0.45 4.30 24.33 Absent 41 27.23 10.08 38 No
## 65 130 0.00 1.82 10.45 Absent 57 22.07 2.06 17 No
## 66 136 7.36 2.19 28.11 Present 61 25.00 61.71 54 No
## 67 124 4.82 3.24 21.10 Present 48 28.49 8.42 30 No
## 68 112 0.41 1.88 10.29 Absent 39 22.08 20.98 27 No
## 69 118 4.46 7.27 29.13 Present 48 29.01 11.11 33 No
## 70 122 0.00 3.37 16.10 Absent 67 21.06 0.00 32 Si
## 71 118 0.00 3.67 12.13 Absent 51 19.15 0.60 15 No
## 72 130 1.72 2.66 10.38 Absent 68 17.81 11.10 26 No
## 73 130 5.60 3.37 24.80 Absent 58 25.76 43.20 36 No
## 74 126 0.09 5.03 13.27 Present 50 17.75 4.63 20 No
## 75 128 0.40 6.17 26.35 Absent 64 27.86 11.11 34 No
## 76 136 0.00 4.12 17.42 Absent 52 21.66 12.86 40 No
## 77 134 0.00 5.90 30.84 Absent 49 29.16 0.00 55 No
## 78 140 0.60 5.56 33.39 Present 58 27.19 0.00 55 Si
## 79 168 4.50 6.68 28.47 Absent 43 24.25 24.38 56 Si
## 80 108 0.40 5.91 22.92 Present 57 25.72 72.00 39 No
## 81 114 3.00 7.04 22.64 Present 55 22.59 0.00 45 Si
## 82 140 8.14 4.93 42.49 Absent 53 45.72 6.43 53 Si
## 83 148 4.80 6.09 36.55 Present 63 25.44 0.88 55 Si
## 84 148 12.20 3.79 34.15 Absent 57 26.38 14.40 57 Si
## 85 128 0.00 2.43 13.15 Present 63 20.75 0.00 17 No
## 86 130 0.56 3.30 30.86 Absent 49 27.52 33.33 45 No
## 87 126 10.50 4.49 17.33 Absent 67 19.37 0.00 49 Si
## 88 140 0.00 5.08 27.33 Present 41 27.83 1.25 38 No
## 89 126 0.90 5.64 17.78 Present 55 21.94 0.00 41 No
## 90 122 0.72 4.04 32.38 Absent 34 28.34 0.00 55 No
## 91 116 1.03 2.83 10.85 Absent 45 21.59 1.75 21 No
## 92 120 3.70 4.02 39.66 Absent 61 30.57 0.00 64 Si
## 93 143 0.46 2.40 22.87 Absent 62 29.17 15.43 29 No
## 94 118 4.00 3.95 18.96 Absent 54 25.15 8.33 49 Si
## 95 194 1.70 6.32 33.67 Absent 47 30.16 0.19 56 No
## 96 134 3.00 4.37 23.07 Absent 56 20.54 9.65 62 No
## 97 138 2.16 4.90 24.83 Present 39 26.06 28.29 29 No
## 98 136 0.00 5.00 27.58 Present 49 27.59 1.47 39 No
## 99 122 3.20 11.32 35.36 Present 55 27.07 0.00 51 Si
## 100 164 12.00 3.91 19.59 Absent 51 23.44 19.75 39 No
## 101 136 8.00 7.85 23.81 Present 51 22.69 2.78 50 No
## 102 166 0.07 4.03 29.29 Absent 53 28.37 0.00 27 No
## 103 118 0.00 4.34 30.12 Present 52 32.18 3.91 46 No
## 104 128 0.42 4.60 26.68 Absent 41 30.97 10.33 31 No
## 105 118 1.50 5.38 25.84 Absent 64 28.63 3.89 29 No
## 106 158 3.60 2.97 30.11 Absent 63 26.64 108.00 64 No
## 107 108 1.50 4.33 24.99 Absent 66 22.29 21.60 61 Si
## 108 170 7.60 5.50 37.83 Present 42 37.41 6.17 54 Si
## 109 118 1.00 5.76 22.10 Absent 62 23.48 7.71 42 No
## 110 124 0.00 3.04 17.33 Absent 49 22.04 0.00 18 No
## 111 114 0.00 8.01 21.64 Absent 66 25.51 2.49 16 No
## 112 168 9.00 8.53 24.48 Present 69 26.18 4.63 54 Si
## 113 134 2.00 3.66 14.69 Absent 52 21.03 2.06 37 No
## 114 174 0.00 8.46 35.10 Present 35 25.27 0.00 61 Si
## 115 116 31.20 3.17 14.99 Absent 47 19.40 49.06 59 Si
## 116 128 0.00 10.58 31.81 Present 46 28.41 14.66 48 No
## 117 140 4.50 4.59 18.01 Absent 63 21.91 22.09 32 Si
## 118 154 0.70 5.91 25.00 Absent 13 20.60 0.00 42 No
## 119 150 3.50 6.99 25.39 Present 50 23.35 23.48 61 Si
## 120 130 0.00 3.92 25.55 Absent 68 28.02 0.68 27 No
## 121 128 2.00 6.13 21.31 Absent 66 22.86 11.83 60 No
## 122 120 1.40 6.25 20.47 Absent 60 25.85 8.51 28 No
## 123 120 0.00 5.01 26.13 Absent 64 26.21 12.24 33 No
## 124 138 4.50 2.85 30.11 Absent 55 24.78 24.89 56 Si
## 125 153 7.80 3.96 25.73 Absent 54 25.91 27.03 45 No
## 126 123 8.60 11.17 35.28 Present 70 33.14 0.00 59 Si
## 127 148 4.04 3.99 20.69 Absent 60 27.78 1.75 28 No
## 128 136 3.96 2.76 30.28 Present 50 34.42 18.51 38 No
## 129 134 8.80 7.41 26.84 Absent 35 29.44 29.52 60 Si
## 130 152 12.18 4.04 37.83 Present 63 34.57 4.17 64 No
## 131 158 13.50 5.04 30.79 Absent 54 24.79 21.50 62 No
## 132 132 2.00 3.08 35.39 Absent 45 31.44 79.82 58 Si
## 133 134 1.50 3.73 21.53 Absent 41 24.70 11.11 30 Si
## 134 142 7.44 5.52 33.97 Absent 47 29.29 24.27 54 No
## 135 134 6.00 3.30 28.45 Absent 65 26.09 58.11 40 No
## 136 122 4.18 9.05 29.27 Present 44 24.05 19.34 52 Si
## 137 116 2.70 3.69 13.52 Absent 55 21.13 18.51 32 No
## 138 128 0.50 3.70 12.81 Present 66 21.25 22.73 28 No
## 139 120 0.00 3.68 12.24 Absent 51 20.52 0.51 20 No
## 140 124 0.00 3.95 36.35 Present 59 32.83 9.59 54 No
## 141 160 14.00 5.90 37.12 Absent 58 33.87 3.52 54 Si
## 142 130 2.78 4.89 9.39 Present 63 19.30 17.47 25 Si
## 143 128 2.80 5.53 14.29 Absent 64 24.97 0.51 38 No
## 144 130 4.50 5.86 37.43 Absent 61 31.21 32.30 58 No
## 145 109 1.20 6.14 29.26 Absent 47 24.72 10.46 40 No
## 146 144 0.00 3.84 18.72 Absent 56 22.10 4.80 40 No
## 147 118 1.05 3.16 12.98 Present 46 22.09 16.35 31 No
## 148 136 3.46 6.38 32.25 Present 43 28.73 3.13 43 Si
## 149 136 1.50 6.06 26.54 Absent 54 29.38 14.50 33 Si
## 150 124 15.50 5.05 24.06 Absent 46 23.22 0.00 61 Si
## 151 148 6.00 6.49 26.47 Absent 48 24.70 0.00 55 No
## 152 128 6.60 3.58 20.71 Absent 55 24.15 0.00 52 No
## 153 122 0.28 4.19 19.97 Absent 61 25.63 0.00 24 No
## 154 108 0.00 2.74 11.17 Absent 53 22.61 0.95 20 No
## 155 124 3.04 4.80 19.52 Present 60 21.78 147.19 41 Si
## 156 138 8.80 3.12 22.41 Present 63 23.33 120.03 55 Si
## 157 127 0.00 2.81 15.70 Absent 42 22.03 1.03 17 No
## 158 174 9.45 5.13 35.54 Absent 55 30.71 59.79 53 No
## 159 122 0.00 3.05 23.51 Absent 46 25.81 0.00 38 No
## 160 144 6.75 5.45 29.81 Absent 53 25.62 26.23 43 Si
## 161 126 1.80 6.22 19.71 Absent 65 24.81 0.69 31 No
## 162 208 27.40 3.12 26.63 Absent 66 27.45 33.07 62 Si
## 163 138 0.00 2.68 17.04 Absent 42 22.16 0.00 16 No
## 164 148 0.00 3.84 17.26 Absent 70 20.00 0.00 21 No
## 165 122 0.00 3.08 16.30 Absent 43 22.13 0.00 16 No
## 166 132 7.00 3.20 23.26 Absent 77 23.64 23.14 49 No
## 167 110 12.16 4.99 28.56 Absent 44 27.14 21.60 55 Si
## 168 160 1.52 8.12 29.30 Present 54 25.87 12.86 43 Si
## 169 126 0.54 4.39 21.13 Present 45 25.99 0.00 25 No
## 170 162 5.30 7.95 33.58 Present 58 36.06 8.23 48 No
## 171 194 2.55 6.89 33.88 Present 69 29.33 0.00 41 No
## 172 118 0.75 2.58 20.25 Absent 59 24.46 0.00 32 No
## 173 124 0.00 4.79 34.71 Absent 49 26.09 9.26 47 No
## 174 160 0.00 2.42 34.46 Absent 48 29.83 1.03 61 No
## 175 128 0.00 2.51 29.35 Present 53 22.05 1.37 62 No
## 176 122 4.00 5.24 27.89 Present 45 26.52 0.00 61 Si
## 177 132 2.00 2.70 21.57 Present 50 27.95 9.26 37 No
## 178 120 0.00 2.42 16.66 Absent 46 20.16 0.00 17 No
## 179 128 0.04 8.22 28.17 Absent 65 26.24 11.73 24 No
## 180 108 15.00 4.91 34.65 Absent 41 27.96 14.40 56 No
## 181 166 0.00 4.31 34.27 Absent 45 30.14 13.27 56 No
## 182 152 0.00 6.06 41.05 Present 51 40.34 0.00 51 No
## 183 170 4.20 4.67 35.45 Present 50 27.14 7.92 60 Si
## 184 156 4.00 2.05 19.48 Present 50 21.48 27.77 39 Si
## 185 116 8.00 6.73 28.81 Present 41 26.74 40.94 48 Si
## 186 122 4.40 3.18 11.59 Present 59 21.94 0.00 33 Si
## 187 150 20.00 6.40 35.04 Absent 53 28.88 8.33 63 No
## 188 129 2.15 5.17 27.57 Absent 52 25.42 2.06 39 No
## 189 134 4.80 6.58 29.89 Present 55 24.73 23.66 63 No
## 190 126 0.00 5.98 29.06 Present 56 25.39 11.52 64 Si
## 191 142 0.00 3.72 25.68 Absent 48 24.37 5.25 40 Si
## 192 128 0.70 4.90 37.42 Present 72 35.94 3.09 49 Si
## 193 102 0.40 3.41 17.22 Present 56 23.59 2.06 39 Si
## 194 130 0.00 4.89 25.98 Absent 72 30.42 14.71 23 No
## 195 138 0.05 2.79 10.35 Absent 46 21.62 0.00 18 No
## 196 138 0.00 1.96 11.82 Present 54 22.01 8.13 21 No
## 197 128 0.00 3.09 20.57 Absent 54 25.63 0.51 17 No
## 198 162 2.92 3.63 31.33 Absent 62 31.59 18.51 42 No
## 199 160 3.00 9.19 26.47 Present 39 28.25 14.40 54 Si
## 200 148 0.00 4.66 24.39 Absent 50 25.26 4.03 27 No
## 201 124 0.16 2.44 16.67 Absent 65 24.58 74.91 23 No
## 202 136 3.15 4.37 20.22 Present 59 25.12 47.16 31 Si
## 203 134 2.75 5.51 26.17 Absent 57 29.87 8.33 33 No
## 204 128 0.73 3.97 23.52 Absent 54 23.81 19.20 64 No
## 205 122 3.20 3.59 22.49 Present 45 24.96 36.17 58 No
## 206 152 3.00 4.64 31.29 Absent 41 29.34 4.53 40 No
## 207 162 0.00 5.09 24.60 Present 64 26.71 3.81 18 No
## 208 124 4.00 6.65 30.84 Present 54 28.40 33.51 60 No
## 209 136 5.80 5.90 27.55 Absent 65 25.71 14.40 59 No
## 210 136 8.80 4.26 32.03 Present 52 31.44 34.35 60 No
## 211 134 0.05 8.03 27.95 Absent 48 26.88 0.00 60 No
## 212 122 1.00 5.88 34.81 Present 69 31.27 15.94 40 Si
## 213 116 3.00 3.05 30.31 Absent 41 23.63 0.86 44 No
## 214 132 0.00 0.98 21.39 Absent 62 26.75 0.00 53 No
## 215 134 0.00 2.40 21.11 Absent 57 22.45 1.37 18 No
## 216 160 7.77 8.07 34.80 Absent 64 31.15 0.00 62 Si
## 217 180 0.52 4.23 16.38 Absent 55 22.56 14.77 45 Si
## 218 124 0.81 6.16 11.61 Absent 35 21.47 10.49 26 No
## 219 114 0.00 4.97 9.69 Absent 26 22.60 0.00 25 No
## 220 208 7.40 7.41 32.03 Absent 50 27.62 7.85 57 No
## 221 138 0.00 3.14 12.00 Absent 54 20.28 0.00 16 No
## 222 164 0.50 6.95 39.64 Present 47 41.76 3.81 46 Si
## 223 144 2.40 8.13 35.61 Absent 46 27.38 13.37 60 No
## 224 136 7.50 7.39 28.04 Present 50 25.01 0.00 45 Si
## 225 132 7.28 3.52 12.33 Absent 60 19.48 2.06 56 No
## 226 143 5.04 4.86 23.59 Absent 58 24.69 18.72 42 No
## 227 112 4.46 7.18 26.25 Present 69 27.29 0.00 32 Si
## 228 134 10.00 3.79 34.72 Absent 42 28.33 28.80 52 Si
## 229 138 2.00 5.11 31.40 Present 49 27.25 2.06 64 Si
## 230 188 0.00 5.47 32.44 Present 71 28.99 7.41 50 Si
## 231 110 2.35 3.36 26.72 Present 54 26.08 109.80 58 Si
## 232 136 13.20 7.18 35.95 Absent 48 29.19 0.00 62 No
## 233 130 1.75 5.46 34.34 Absent 53 29.42 0.00 58 Si
## 234 122 0.00 3.76 24.59 Absent 56 24.36 0.00 30 No
## 235 138 0.00 3.24 27.68 Absent 60 25.70 88.66 29 No
## 236 130 18.00 4.13 27.43 Absent 54 27.44 0.00 51 Si
## 237 126 5.50 3.78 34.15 Absent 55 28.85 3.18 61 No
## 238 176 5.76 4.89 26.10 Present 46 27.30 19.44 57 No
## 239 122 0.00 5.49 19.56 Absent 57 23.12 14.02 27 No
## 240 124 0.00 3.23 9.64 Absent 59 22.70 0.00 16 No
## 241 140 5.20 3.58 29.26 Absent 70 27.29 20.17 45 Si
## 242 128 6.00 4.37 22.98 Present 50 26.01 0.00 47 No
## 243 190 4.18 5.05 24.83 Absent 45 26.09 82.85 41 No
## 244 144 0.76 10.53 35.66 Absent 63 34.35 0.00 55 Si
## 245 126 4.60 7.40 31.99 Present 57 28.67 0.37 60 Si
## 246 128 0.00 2.63 23.88 Absent 45 21.59 6.54 57 No
## 247 136 0.40 3.91 21.10 Present 63 22.30 0.00 56 Si
## 248 158 4.00 4.18 28.61 Present 42 25.11 0.00 60 No
## 249 160 0.60 6.94 30.53 Absent 36 25.68 1.42 64 No
## 250 124 6.00 5.21 33.02 Present 64 29.37 7.61 58 Si
## 251 158 6.17 8.12 30.75 Absent 46 27.84 92.62 48 No
## 252 128 0.00 6.34 11.87 Absent 57 23.14 0.00 17 No
## 253 166 3.00 3.82 26.75 Absent 45 20.86 0.00 63 Si
## 254 146 7.50 7.21 25.93 Present 55 22.51 0.51 42 No
## 255 161 9.00 4.65 15.16 Present 58 23.76 43.20 46 No
## 256 164 13.02 6.26 29.38 Present 47 22.75 37.03 54 Si
## 257 146 5.08 7.03 27.41 Present 63 36.46 24.48 37 Si
## 258 142 4.48 3.57 19.75 Present 51 23.54 3.29 49 No
## 259 138 12.00 5.13 28.34 Absent 59 24.49 32.81 58 Si
## 260 154 1.80 7.13 34.04 Present 52 35.51 39.36 44 No
## 261 118 0.00 2.39 12.13 Absent 49 18.46 0.26 17 Si
## 262 124 0.61 2.69 17.15 Present 61 22.76 11.55 20 No
## 263 124 1.04 2.84 16.42 Present 46 20.17 0.00 61 No
## 264 136 5.00 4.19 23.99 Present 68 27.80 25.86 35 No
## 265 132 9.90 4.63 27.86 Present 46 23.39 0.51 52 Si
## 266 118 0.12 1.96 20.31 Absent 37 20.01 2.42 18 No
## 267 118 0.12 4.16 9.37 Absent 57 19.61 0.00 17 No
## 268 134 12.00 4.96 29.79 Absent 53 24.86 8.23 57 No
## 269 114 0.10 3.95 15.89 Present 57 20.31 17.14 16 No
## 270 136 6.80 7.84 30.74 Present 58 26.20 23.66 45 Si
## 271 130 0.00 4.16 39.43 Present 46 30.01 0.00 55 Si
## 272 136 2.20 4.16 38.02 Absent 65 37.24 4.11 41 Si
## 273 136 1.36 3.16 14.97 Present 56 24.98 7.30 24 No
## 274 154 4.20 5.59 25.02 Absent 58 25.02 1.54 43 No
## 275 108 0.80 2.47 17.53 Absent 47 22.18 0.00 55 Si
## 276 136 8.80 4.69 36.07 Present 38 26.56 2.78 63 Si
## 277 174 2.02 6.57 31.90 Present 50 28.75 11.83 64 Si
## 278 124 4.25 8.22 30.77 Absent 56 25.80 0.00 43 No
## 279 114 0.00 2.63 9.69 Absent 45 17.89 0.00 16 No
## 280 118 0.12 3.26 12.26 Absent 55 22.65 0.00 16 No
## 281 106 1.08 4.37 26.08 Absent 67 24.07 17.74 28 Si
## 282 146 3.60 3.51 22.67 Absent 51 22.29 43.71 42 No
## 283 206 0.00 4.17 33.23 Absent 69 27.36 6.17 50 Si
## 284 134 3.00 3.17 17.91 Absent 35 26.37 15.12 27 No
## 285 148 15.00 4.98 36.94 Present 72 31.83 66.27 41 Si
## 286 126 0.21 3.95 15.11 Absent 61 22.17 2.42 17 No
## 287 134 0.00 3.69 13.92 Absent 43 27.66 0.00 19 No
## 288 134 0.02 2.80 18.84 Absent 45 24.82 0.00 17 No
## 289 123 0.05 4.61 13.69 Absent 51 23.23 2.78 16 No
## 290 112 0.60 5.28 25.71 Absent 55 27.02 27.77 38 Si
## 291 112 0.00 1.71 15.96 Absent 42 22.03 3.50 16 No
## 292 101 0.48 7.26 13.00 Absent 50 19.82 5.19 16 No
## 293 150 0.18 4.14 14.40 Absent 53 23.43 7.71 44 No
## 294 170 2.60 7.22 28.69 Present 71 27.87 37.65 56 Si
## 295 134 0.00 5.63 29.12 Absent 68 32.33 2.02 34 No
## 296 142 0.00 4.19 18.04 Absent 56 23.65 20.78 42 Si
## 297 132 0.10 3.28 10.73 Absent 73 20.42 0.00 17 No
## 298 136 0.00 2.28 18.14 Absent 55 22.59 0.00 17 No
## 299 132 12.00 4.51 21.93 Absent 61 26.07 64.80 46 Si
## 300 166 4.10 4.00 34.30 Present 32 29.51 8.23 53 No
## 301 138 0.00 3.96 24.70 Present 53 23.80 0.00 45 No
## 302 138 2.27 6.41 29.07 Absent 58 30.22 2.93 32 Si
## 303 170 0.00 3.12 37.15 Absent 47 35.42 0.00 53 No
## 304 128 0.00 8.41 28.82 Present 60 26.86 0.00 59 Si
## 305 136 1.20 2.78 7.12 Absent 52 22.51 3.41 27 No
## 306 128 0.00 3.22 26.55 Present 39 26.59 16.71 49 No
## 307 150 14.40 5.04 26.52 Present 60 28.84 0.00 45 No
## 308 132 8.40 3.57 13.68 Absent 42 18.75 15.43 59 Si
## 309 142 2.40 2.55 23.89 Absent 54 26.09 59.14 37 No
## 310 130 0.05 2.44 28.25 Present 67 30.86 40.32 34 No
## 311 174 3.50 5.26 21.97 Present 36 22.04 8.33 59 Si
## 312 114 9.60 2.51 29.18 Absent 49 25.67 40.63 46 No
## 313 162 1.50 2.46 19.39 Present 49 24.32 0.00 59 Si
## 314 174 0.00 3.27 35.40 Absent 58 37.71 24.95 44 No
## 315 190 5.15 6.03 36.59 Absent 42 30.31 72.00 50 No
## 316 154 1.40 1.72 18.86 Absent 58 22.67 43.20 59 No
## 317 124 0.00 2.28 24.86 Present 50 22.24 8.26 38 No
## 318 114 1.20 3.98 14.90 Absent 49 23.79 25.82 26 No
## 319 168 11.40 5.08 26.66 Present 56 27.04 2.61 59 Si
## 320 142 3.72 4.24 32.57 Absent 52 24.98 7.61 51 No
## 321 154 0.00 4.81 28.11 Present 56 25.67 75.77 59 No
## 322 146 4.36 4.31 18.44 Present 47 24.72 10.80 38 No
## 323 166 6.00 3.02 29.30 Absent 35 24.38 38.06 61 No
## 324 140 8.60 3.90 32.16 Present 52 28.51 11.11 64 Si
## 325 136 1.70 3.53 20.13 Absent 56 19.44 14.40 55 No
## 326 156 0.00 3.47 21.10 Absent 73 28.40 0.00 36 Si
## 327 132 0.00 6.63 29.58 Present 37 29.41 2.57 62 No
## 328 128 0.00 2.98 12.59 Absent 65 20.74 2.06 19 No
## 329 106 5.60 3.20 12.30 Absent 49 20.29 0.00 39 No
## 330 144 0.40 4.64 30.09 Absent 30 27.39 0.74 55 No
## 331 154 0.31 2.33 16.48 Absent 33 24.00 11.83 17 No
## 332 126 3.10 2.01 32.97 Present 56 28.63 26.74 45 No
## 333 134 6.40 8.49 37.25 Present 56 28.94 10.49 51 Si
## 334 152 19.45 4.22 29.81 Absent 28 23.95 0.00 59 Si
## 335 146 1.35 6.39 34.21 Absent 51 26.43 0.00 59 Si
## 336 162 6.94 4.55 33.36 Present 52 27.09 32.06 43 No
## 337 130 7.28 3.56 23.29 Present 20 26.80 51.87 58 Si
## 338 138 6.00 7.24 37.05 Absent 38 28.69 0.00 59 No
## 339 148 0.00 5.32 26.71 Present 52 32.21 32.78 27 No
## 340 124 4.20 2.94 27.59 Absent 50 30.31 85.06 30 No
## 341 118 1.62 9.01 21.70 Absent 59 25.89 21.19 40 No
## 342 116 4.28 7.02 19.99 Present 68 23.31 0.00 52 Si
## 343 162 6.30 5.73 22.61 Present 46 20.43 62.54 53 Si
## 344 138 0.87 1.87 15.89 Absent 44 26.76 42.99 31 No
## 345 137 1.20 3.14 23.87 Absent 66 24.13 45.00 37 No
## 346 198 0.52 11.89 27.68 Present 48 28.40 78.99 26 Si
## 347 154 4.50 4.75 23.52 Present 43 25.76 0.00 53 Si
## 348 128 5.40 2.36 12.98 Absent 51 18.36 6.69 61 No
## 349 130 0.08 5.59 25.42 Present 50 24.98 6.27 43 Si
## 350 162 5.60 4.24 22.53 Absent 29 22.91 5.66 60 No
## 351 120 10.50 2.70 29.87 Present 54 24.50 16.46 49 No
## 352 136 3.99 2.58 16.38 Present 53 22.41 27.67 36 No
## 353 176 1.20 8.28 36.16 Present 42 27.81 11.60 58 Si
## 354 134 11.79 4.01 26.57 Present 38 21.79 38.88 61 Si
## 355 122 1.70 5.28 32.23 Present 51 24.08 0.00 54 No
## 356 134 0.90 3.18 23.66 Present 52 23.26 27.36 58 Si
## 357 134 0.00 2.43 22.24 Absent 52 26.49 41.66 24 No
## 358 136 6.60 6.08 32.74 Absent 64 33.28 2.72 49 No
## 359 132 4.05 5.15 26.51 Present 31 26.67 16.30 50 No
## 360 152 1.68 3.58 25.43 Absent 50 27.03 0.00 32 No
## 361 132 12.30 5.96 32.79 Present 57 30.12 21.50 62 Si
## 362 124 0.40 3.67 25.76 Absent 43 28.08 20.57 34 No
## 363 140 4.20 2.91 28.83 Present 43 24.70 47.52 48 No
## 364 166 0.60 2.42 34.03 Present 53 26.96 54.00 60 No
## 365 156 3.02 5.35 25.72 Present 53 25.22 28.11 52 Si
## 366 132 0.72 4.37 19.54 Absent 48 26.11 49.37 28 No
## 367 150 0.00 4.99 27.73 Absent 57 30.92 8.33 24 No
## 368 134 0.12 3.40 21.18 Present 33 26.27 14.21 30 No
## 369 126 3.40 4.87 15.16 Present 65 22.01 11.11 38 No
## 370 148 0.50 5.97 32.88 Absent 54 29.27 6.43 42 No
## 371 148 8.20 7.75 34.46 Present 46 26.53 6.04 64 Si
## 372 132 6.00 5.97 25.73 Present 66 24.18 145.29 41 No
## 373 128 1.60 5.41 29.30 Absent 68 29.38 23.97 32 No
## 374 128 5.16 4.90 31.35 Present 57 26.42 0.00 64 No
## 375 140 0.00 2.40 27.89 Present 70 30.74 144.00 29 No
## 376 126 0.00 5.29 27.64 Absent 25 27.62 2.06 45 No
## 377 114 3.60 4.16 22.58 Absent 60 24.49 65.31 31 No
## 378 118 1.25 4.69 31.58 Present 52 27.16 4.11 53 No
## 379 126 0.96 4.99 29.74 Absent 66 33.35 58.32 38 No
## 380 154 4.50 4.68 39.97 Absent 61 33.17 1.54 64 Si
## 381 112 1.44 2.71 22.92 Absent 59 24.81 0.00 52 No
## 382 140 8.00 4.42 33.15 Present 47 32.77 66.86 44 No
## 383 140 1.68 11.41 29.54 Present 74 30.75 2.06 38 Si
## 384 128 2.60 4.94 21.36 Absent 61 21.30 0.00 31 No
## 385 126 19.60 6.03 34.99 Absent 49 26.99 55.89 44 No
## 386 160 4.20 6.76 37.99 Present 61 32.91 3.09 54 Si
## 387 144 0.00 4.17 29.63 Present 52 21.83 0.00 59 No
## 388 148 4.50 10.49 33.27 Absent 50 25.92 2.06 53 Si
## 389 146 0.00 4.92 18.53 Absent 57 24.20 34.97 26 No
## 390 164 5.60 3.17 30.98 Present 44 25.99 43.20 53 Si
## 391 130 0.54 3.63 22.03 Present 69 24.34 12.86 39 Si
## 392 154 2.40 5.63 42.17 Present 59 35.07 12.86 50 Si
## 393 178 0.95 4.75 21.06 Absent 49 23.74 24.69 61 No
## 394 180 3.57 3.57 36.10 Absent 36 26.70 19.95 64 No
## 395 134 12.50 2.73 39.35 Absent 48 35.58 0.00 48 No
## 396 142 0.00 3.54 16.64 Absent 58 25.97 8.36 27 No
## 397 162 7.00 7.67 34.34 Present 33 30.77 0.00 62 No
## 398 218 11.20 2.77 30.79 Absent 38 24.86 90.93 48 Si
## 399 126 8.75 6.06 32.72 Present 33 27.00 62.43 55 Si
## 400 126 0.00 3.57 26.01 Absent 61 26.30 7.97 47 No
## 401 134 6.10 4.77 26.08 Absent 47 23.82 1.03 49 No
## 402 132 0.00 4.17 36.57 Absent 57 30.61 18.00 49 No
## 403 178 5.50 3.79 23.92 Present 45 21.26 6.17 62 Si
## 404 208 5.04 5.19 20.71 Present 52 25.12 24.27 58 Si
## 405 160 1.15 10.19 39.71 Absent 31 31.65 20.52 57 No
## 406 116 2.38 5.67 29.01 Present 54 27.26 15.77 51 No
## 407 180 25.01 3.70 38.11 Present 57 30.54 0.00 61 Si
## 408 200 19.20 4.43 40.60 Present 55 32.04 36.00 60 Si
## 409 112 4.20 3.58 27.14 Absent 52 26.83 2.06 40 No
## 410 120 0.00 3.10 26.97 Absent 41 24.80 0.00 16 No
## 411 178 20.00 9.78 33.55 Absent 37 27.29 2.88 62 Si
## 412 166 0.80 5.63 36.21 Absent 50 34.72 28.80 60 No
## 413 164 8.20 14.16 36.85 Absent 52 28.50 17.02 55 Si
## 414 216 0.92 2.66 19.85 Present 49 20.58 0.51 63 Si
## 415 146 6.40 5.62 33.05 Present 57 31.03 0.74 46 No
## 416 134 1.10 3.54 20.41 Present 58 24.54 39.91 39 Si
## 417 158 16.00 5.56 29.35 Absent 36 25.92 58.32 60 No
## 418 176 0.00 3.14 31.04 Present 45 30.18 4.63 45 No
## 419 132 2.80 4.79 20.47 Present 50 22.15 11.73 48 No
## 420 126 0.00 4.55 29.18 Absent 48 24.94 36.00 41 No
## 421 120 5.50 3.51 23.23 Absent 46 22.40 90.31 43 No
## 422 174 0.00 3.86 21.73 Absent 42 23.37 0.00 63 No
## 423 150 13.80 5.10 29.45 Present 52 27.92 77.76 55 Si
## 424 176 6.00 3.98 17.20 Present 52 21.07 4.11 61 Si
## 425 142 2.20 3.29 22.70 Absent 44 23.66 5.66 42 Si
## 426 132 0.00 3.30 21.61 Absent 42 24.92 32.61 33 No
## 427 142 1.32 7.63 29.98 Present 57 31.16 72.93 33 No
## 428 146 1.16 2.28 34.53 Absent 50 28.71 45.00 49 No
## 429 132 7.20 3.65 17.16 Present 56 23.25 0.00 34 No
## 430 120 0.00 3.57 23.22 Absent 58 27.20 0.00 32 No
## 431 118 0.00 3.89 15.96 Absent 65 20.18 0.00 16 No
## 432 108 0.00 1.43 26.26 Absent 42 19.38 0.00 16 No
## 433 136 0.00 4.00 19.06 Absent 40 21.94 2.06 16 No
## 434 120 0.00 2.46 13.39 Absent 47 22.01 0.51 18 No
## 435 132 0.00 3.55 8.66 Present 61 18.50 3.87 16 No
## 436 136 0.00 1.77 20.37 Absent 45 21.51 2.06 16 No
## 437 138 0.00 1.86 18.35 Present 59 25.38 6.51 17 No
## 438 138 0.06 4.15 20.66 Absent 49 22.59 2.49 16 No
## 439 130 1.22 3.30 13.65 Absent 50 21.40 3.81 31 No
## 440 130 4.00 2.40 17.42 Absent 60 22.05 0.00 40 No
## 441 110 0.00 7.14 28.28 Absent 57 29.00 0.00 32 No
## 442 120 0.00 3.98 13.19 Present 47 21.89 0.00 16 No
## 443 166 6.00 8.80 37.89 Absent 39 28.70 43.20 52 No
## 444 134 0.57 4.75 23.07 Absent 67 26.33 0.00 37 No
## 445 142 3.00 3.69 25.10 Absent 60 30.08 38.88 27 No
## 446 136 2.80 2.53 9.28 Present 61 20.70 4.55 25 No
## 447 142 0.00 4.32 25.22 Absent 47 28.92 6.53 34 Si
## 448 130 0.00 1.88 12.51 Present 52 20.28 0.00 17 No
## 449 124 1.80 3.74 16.64 Present 42 22.26 10.49 20 No
## 450 144 4.00 5.03 25.78 Present 57 27.55 90.00 48 Si
## 451 136 1.81 3.31 6.74 Absent 63 19.57 24.94 24 No
## 452 120 0.00 2.77 13.35 Absent 67 23.37 1.03 18 No
## 453 154 5.53 3.20 28.81 Present 61 26.15 42.79 42 No
## 454 124 1.60 7.22 39.68 Present 36 31.50 0.00 51 Si
## 455 146 0.64 4.82 28.02 Absent 60 28.11 8.23 39 Si
## 456 128 2.24 2.83 26.48 Absent 48 23.96 47.42 27 Si
## 457 170 0.40 4.11 42.06 Present 56 33.10 2.06 57 No
## 458 214 0.40 5.98 31.72 Absent 64 28.45 0.00 58 No
## 459 182 4.20 4.41 32.10 Absent 52 28.61 18.72 52 Si
## 460 108 3.00 1.59 15.23 Absent 40 20.09 26.64 55 No
## 461 118 5.40 11.61 30.79 Absent 64 27.35 23.97 40 No
## 462 132 0.00 4.82 33.41 Present 62 14.70 0.00 46 Si
dim(SAheart)
## [1] 462 10
SAheart$sbp
## [1] 160 144 118 170 134 132 142 114 114 132 206 134 118 132 112 117 120
## [18] 146 158 124 106 132 150 138 142 124 118 145 144 146 136 158 122 126
## [35] 148 122 140 110 130 136 118 144 120 130 114 128 162 116 114 126 122
## [52] 134 152 134 156 152 118 126 103 121 142 138 152 140 130 136 124 112
## [69] 118 122 118 130 130 126 128 136 134 140 168 108 114 140 148 148 128
## [86] 130 126 140 126 122 116 120 143 118 194 134 138 136 122 164 136 166
## [103] 118 128 118 158 108 170 118 124 114 168 134 174 116 128 140 154 150
## [120] 130 128 120 120 138 153 123 148 136 134 152 158 132 134 142 134 122
## [137] 116 128 120 124 160 130 128 130 109 144 118 136 136 124 148 128 122
## [154] 108 124 138 127 174 122 144 126 208 138 148 122 132 110 160 126 162
## [171] 194 118 124 160 128 122 132 120 128 108 166 152 170 156 116 122 150
## [188] 129 134 126 142 128 102 130 138 138 128 162 160 148 124 136 134 128
## [205] 122 152 162 124 136 136 134 122 116 132 134 160 180 124 114 208 138
## [222] 164 144 136 132 143 112 134 138 188 110 136 130 122 138 130 126 176
## [239] 122 124 140 128 190 144 126 128 136 158 160 124 158 128 166 146 161
## [256] 164 146 142 138 154 118 124 124 136 132 118 118 134 114 136 130 136
## [273] 136 154 108 136 174 124 114 118 106 146 206 134 148 126 134 134 123
## [290] 112 112 101 150 170 134 142 132 136 132 166 138 138 170 128 136 128
## [307] 150 132 142 130 174 114 162 174 190 154 124 114 168 142 154 146 166
## [324] 140 136 156 132 128 106 144 154 126 134 152 146 162 130 138 148 124
## [341] 118 116 162 138 137 198 154 128 130 162 120 136 176 134 122 134 134
## [358] 136 132 152 132 124 140 166 156 132 150 134 126 148 148 132 128 128
## [375] 140 126 114 118 126 154 112 140 140 128 126 160 144 148 146 164 130
## [392] 154 178 180 134 142 162 218 126 126 134 132 178 208 160 116 180 200
## [409] 112 120 178 166 164 216 146 134 158 176 132 126 120 174 150 176 142
## [426] 132 142 146 132 120 118 108 136 120 132 136 138 138 130 130 110 120
## [443] 166 134 142 136 142 130 124 144 136 120 154 124 146 128 170 214 182
## [460] 108 118 132
SAheart$tobacco
## [1] 12.00 0.01 0.08 7.50 13.60 6.20 4.05 4.08 0.00 0.00 6.00
## [12] 14.10 0.00 0.00 9.65 1.53 7.50 10.50 2.60 14.00 1.61 7.90
## [23] 0.30 0.60 18.20 4.00 6.00 9.10 4.09 0.00 2.52 1.02 6.60
## [34] 8.75 5.50 4.26 3.90 4.64 0.00 11.20 0.28 0.04 0.00 2.61
## [45] 0.00 4.65 7.40 1.91 0.00 3.80 0.00 2.50 0.90 8.08 3.00
## [56] 5.99 0.00 5.10 0.03 0.80 0.28 1.15 10.10 0.45 0.00 7.36
## [67] 4.82 0.41 4.46 0.00 0.00 1.72 5.60 0.09 0.40 0.00 0.00
## [78] 0.60 4.50 0.40 3.00 8.14 4.80 12.20 0.00 0.56 10.50 0.00
## [89] 0.90 0.72 1.03 3.70 0.46 4.00 1.70 3.00 2.16 0.00 3.20
## [100] 12.00 8.00 0.07 0.00 0.42 1.50 3.60 1.50 7.60 1.00 0.00
## [111] 0.00 9.00 2.00 0.00 31.20 0.00 4.50 0.70 3.50 0.00 2.00
## [122] 1.40 0.00 4.50 7.80 8.60 4.04 3.96 8.80 12.18 13.50 2.00
## [133] 1.50 7.44 6.00 4.18 2.70 0.50 0.00 0.00 14.00 2.78 2.80
## [144] 4.50 1.20 0.00 1.05 3.46 1.50 15.50 6.00 6.60 0.28 0.00
## [155] 3.04 8.80 0.00 9.45 0.00 6.75 1.80 27.40 0.00 0.00 0.00
## [166] 7.00 12.16 1.52 0.54 5.30 2.55 0.75 0.00 0.00 0.00 4.00
## [177] 2.00 0.00 0.04 15.00 0.00 0.00 4.20 4.00 8.00 4.40 20.00
## [188] 2.15 4.80 0.00 0.00 0.70 0.40 0.00 0.05 0.00 0.00 2.92
## [199] 3.00 0.00 0.16 3.15 2.75 0.73 3.20 3.00 0.00 4.00 5.80
## [210] 8.80 0.05 1.00 3.00 0.00 0.00 7.77 0.52 0.81 0.00 7.40
## [221] 0.00 0.50 2.40 7.50 7.28 5.04 4.46 10.00 2.00 0.00 2.35
## [232] 13.20 1.75 0.00 0.00 18.00 5.50 5.76 0.00 0.00 5.20 6.00
## [243] 4.18 0.76 4.60 0.00 0.40 4.00 0.60 6.00 6.17 0.00 3.00
## [254] 7.50 9.00 13.02 5.08 4.48 12.00 1.80 0.00 0.61 1.04 5.00
## [265] 9.90 0.12 0.12 12.00 0.10 6.80 0.00 2.20 1.36 4.20 0.80
## [276] 8.80 2.02 4.25 0.00 0.12 1.08 3.60 0.00 3.00 15.00 0.21
## [287] 0.00 0.02 0.05 0.60 0.00 0.48 0.18 2.60 0.00 0.00 0.10
## [298] 0.00 12.00 4.10 0.00 2.27 0.00 0.00 1.20 0.00 14.40 8.40
## [309] 2.40 0.05 3.50 9.60 1.50 0.00 5.15 1.40 0.00 1.20 11.40
## [320] 3.72 0.00 4.36 6.00 8.60 1.70 0.00 0.00 0.00 5.60 0.40
## [331] 0.31 3.10 6.40 19.45 1.35 6.94 7.28 6.00 0.00 4.20 1.62
## [342] 4.28 6.30 0.87 1.20 0.52 4.50 5.40 0.08 5.60 10.50 3.99
## [353] 1.20 11.79 1.70 0.90 0.00 6.60 4.05 1.68 12.30 0.40 4.20
## [364] 0.60 3.02 0.72 0.00 0.12 3.40 0.50 8.20 6.00 1.60 5.16
## [375] 0.00 0.00 3.60 1.25 0.96 4.50 1.44 8.00 1.68 2.60 19.60
## [386] 4.20 0.00 4.50 0.00 5.60 0.54 2.40 0.95 3.57 12.50 0.00
## [397] 7.00 11.20 8.75 0.00 6.10 0.00 5.50 5.04 1.15 2.38 25.01
## [408] 19.20 4.20 0.00 20.00 0.80 8.20 0.92 6.40 1.10 16.00 0.00
## [419] 2.80 0.00 5.50 0.00 13.80 6.00 2.20 0.00 1.32 1.16 7.20
## [430] 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.06 1.22 4.00
## [441] 0.00 0.00 6.00 0.57 3.00 2.80 0.00 0.00 1.80 4.00 1.81
## [452] 0.00 5.53 1.60 0.64 2.24 0.40 0.40 4.20 3.00 5.40 0.00
SAheart$ldl
## [1] 5.73 4.41 3.48 6.41 3.50 6.47 3.38 4.59 3.83 5.80 2.95
## [12] 4.44 1.88 1.87 2.29 2.44 15.33 8.29 7.46 6.23 1.74 2.85
## [23] 6.38 3.81 4.34 12.42 9.65 5.24 5.55 6.62 3.95 6.33 5.58
## [34] 6.53 7.10 4.44 7.32 4.55 2.82 5.81 5.80 3.38 1.07 2.72
## [45] 2.99 3.31 8.55 7.56 1.94 3.88 5.75 3.66 9.12 1.55 1.82
## [56] 7.99 2.99 2.96 4.21 5.29 1.80 5.09 4.71 4.30 1.82 2.19
## [67] 3.24 1.88 7.27 3.37 3.67 2.66 3.37 5.03 6.17 4.12 5.90
## [78] 5.56 6.68 5.91 7.04 4.93 6.09 3.79 2.43 3.30 4.49 5.08
## [89] 5.64 4.04 2.83 4.02 2.40 3.95 6.32 4.37 4.90 5.00 11.32
## [100] 3.91 7.85 4.03 4.34 4.60 5.38 2.97 4.33 5.50 5.76 3.04
## [111] 8.01 8.53 3.66 8.46 3.17 10.58 4.59 5.91 6.99 3.92 6.13
## [122] 6.25 5.01 2.85 3.96 11.17 3.99 2.76 7.41 4.04 5.04 3.08
## [133] 3.73 5.52 3.30 9.05 3.69 3.70 3.68 3.95 5.90 4.89 5.53
## [144] 5.86 6.14 3.84 3.16 6.38 6.06 5.05 6.49 3.58 4.19 2.74
## [155] 4.80 3.12 2.81 5.13 3.05 5.45 6.22 3.12 2.68 3.84 3.08
## [166] 3.20 4.99 8.12 4.39 7.95 6.89 2.58 4.79 2.42 2.51 5.24
## [177] 2.70 2.42 8.22 4.91 4.31 6.06 4.67 2.05 6.73 3.18 6.40
## [188] 5.17 6.58 5.98 3.72 4.90 3.41 4.89 2.79 1.96 3.09 3.63
## [199] 9.19 4.66 2.44 4.37 5.51 3.97 3.59 4.64 5.09 6.65 5.90
## [210] 4.26 8.03 5.88 3.05 0.98 2.40 8.07 4.23 6.16 4.97 7.41
## [221] 3.14 6.95 8.13 7.39 3.52 4.86 7.18 3.79 5.11 5.47 3.36
## [232] 7.18 5.46 3.76 3.24 4.13 3.78 4.89 5.49 3.23 3.58 4.37
## [243] 5.05 10.53 7.40 2.63 3.91 4.18 6.94 5.21 8.12 6.34 3.82
## [254] 7.21 4.65 6.26 7.03 3.57 5.13 7.13 2.39 2.69 2.84 4.19
## [265] 4.63 1.96 4.16 4.96 3.95 7.84 4.16 4.16 3.16 5.59 2.47
## [276] 4.69 6.57 8.22 2.63 3.26 4.37 3.51 4.17 3.17 4.98 3.95
## [287] 3.69 2.80 4.61 5.28 1.71 7.26 4.14 7.22 5.63 4.19 3.28
## [298] 2.28 4.51 4.00 3.96 6.41 3.12 8.41 2.78 3.22 5.04 3.57
## [309] 2.55 2.44 5.26 2.51 2.46 3.27 6.03 1.72 2.28 3.98 5.08
## [320] 4.24 4.81 4.31 3.02 3.90 3.53 3.47 6.63 2.98 3.20 4.64
## [331] 2.33 2.01 8.49 4.22 6.39 4.55 3.56 7.24 5.32 2.94 9.01
## [342] 7.02 5.73 1.87 3.14 11.89 4.75 2.36 5.59 4.24 2.70 2.58
## [353] 8.28 4.01 5.28 3.18 2.43 6.08 5.15 3.58 5.96 3.67 2.91
## [364] 2.42 5.35 4.37 4.99 3.40 4.87 5.97 7.75 5.97 5.41 4.90
## [375] 2.40 5.29 4.16 4.69 4.99 4.68 2.71 4.42 11.41 4.94 6.03
## [386] 6.76 4.17 10.49 4.92 3.17 3.63 5.63 4.75 3.57 2.73 3.54
## [397] 7.67 2.77 6.06 3.57 4.77 4.17 3.79 5.19 10.19 5.67 3.70
## [408] 4.43 3.58 3.10 9.78 5.63 14.16 2.66 5.62 3.54 5.56 3.14
## [419] 4.79 4.55 3.51 3.86 5.10 3.98 3.29 3.30 7.63 2.28 3.65
## [430] 3.57 3.89 1.43 4.00 2.46 3.55 1.77 1.86 4.15 3.30 2.40
## [441] 7.14 3.98 8.80 4.75 3.69 2.53 4.32 1.88 3.74 5.03 3.31
## [452] 2.77 3.20 7.22 4.82 2.83 4.11 5.98 4.41 1.59 11.61 4.82
SAheart[,1]
## [1] 160 144 118 170 134 132 142 114 114 132 206 134 118 132 112 117 120
## [18] 146 158 124 106 132 150 138 142 124 118 145 144 146 136 158 122 126
## [35] 148 122 140 110 130 136 118 144 120 130 114 128 162 116 114 126 122
## [52] 134 152 134 156 152 118 126 103 121 142 138 152 140 130 136 124 112
## [69] 118 122 118 130 130 126 128 136 134 140 168 108 114 140 148 148 128
## [86] 130 126 140 126 122 116 120 143 118 194 134 138 136 122 164 136 166
## [103] 118 128 118 158 108 170 118 124 114 168 134 174 116 128 140 154 150
## [120] 130 128 120 120 138 153 123 148 136 134 152 158 132 134 142 134 122
## [137] 116 128 120 124 160 130 128 130 109 144 118 136 136 124 148 128 122
## [154] 108 124 138 127 174 122 144 126 208 138 148 122 132 110 160 126 162
## [171] 194 118 124 160 128 122 132 120 128 108 166 152 170 156 116 122 150
## [188] 129 134 126 142 128 102 130 138 138 128 162 160 148 124 136 134 128
## [205] 122 152 162 124 136 136 134 122 116 132 134 160 180 124 114 208 138
## [222] 164 144 136 132 143 112 134 138 188 110 136 130 122 138 130 126 176
## [239] 122 124 140 128 190 144 126 128 136 158 160 124 158 128 166 146 161
## [256] 164 146 142 138 154 118 124 124 136 132 118 118 134 114 136 130 136
## [273] 136 154 108 136 174 124 114 118 106 146 206 134 148 126 134 134 123
## [290] 112 112 101 150 170 134 142 132 136 132 166 138 138 170 128 136 128
## [307] 150 132 142 130 174 114 162 174 190 154 124 114 168 142 154 146 166
## [324] 140 136 156 132 128 106 144 154 126 134 152 146 162 130 138 148 124
## [341] 118 116 162 138 137 198 154 128 130 162 120 136 176 134 122 134 134
## [358] 136 132 152 132 124 140 166 156 132 150 134 126 148 148 132 128 128
## [375] 140 126 114 118 126 154 112 140 140 128 126 160 144 148 146 164 130
## [392] 154 178 180 134 142 162 218 126 126 134 132 178 208 160 116 180 200
## [409] 112 120 178 166 164 216 146 134 158 176 132 126 120 174 150 176 142
## [426] 132 142 146 132 120 118 108 136 120 132 136 138 138 130 130 110 120
## [443] 166 134 142 136 142 130 124 144 136 120 154 124 146 128 170 214 182
## [460] 108 118 132
SAheart[,2]
## [1] 12.00 0.01 0.08 7.50 13.60 6.20 4.05 4.08 0.00 0.00 6.00
## [12] 14.10 0.00 0.00 9.65 1.53 7.50 10.50 2.60 14.00 1.61 7.90
## [23] 0.30 0.60 18.20 4.00 6.00 9.10 4.09 0.00 2.52 1.02 6.60
## [34] 8.75 5.50 4.26 3.90 4.64 0.00 11.20 0.28 0.04 0.00 2.61
## [45] 0.00 4.65 7.40 1.91 0.00 3.80 0.00 2.50 0.90 8.08 3.00
## [56] 5.99 0.00 5.10 0.03 0.80 0.28 1.15 10.10 0.45 0.00 7.36
## [67] 4.82 0.41 4.46 0.00 0.00 1.72 5.60 0.09 0.40 0.00 0.00
## [78] 0.60 4.50 0.40 3.00 8.14 4.80 12.20 0.00 0.56 10.50 0.00
## [89] 0.90 0.72 1.03 3.70 0.46 4.00 1.70 3.00 2.16 0.00 3.20
## [100] 12.00 8.00 0.07 0.00 0.42 1.50 3.60 1.50 7.60 1.00 0.00
## [111] 0.00 9.00 2.00 0.00 31.20 0.00 4.50 0.70 3.50 0.00 2.00
## [122] 1.40 0.00 4.50 7.80 8.60 4.04 3.96 8.80 12.18 13.50 2.00
## [133] 1.50 7.44 6.00 4.18 2.70 0.50 0.00 0.00 14.00 2.78 2.80
## [144] 4.50 1.20 0.00 1.05 3.46 1.50 15.50 6.00 6.60 0.28 0.00
## [155] 3.04 8.80 0.00 9.45 0.00 6.75 1.80 27.40 0.00 0.00 0.00
## [166] 7.00 12.16 1.52 0.54 5.30 2.55 0.75 0.00 0.00 0.00 4.00
## [177] 2.00 0.00 0.04 15.00 0.00 0.00 4.20 4.00 8.00 4.40 20.00
## [188] 2.15 4.80 0.00 0.00 0.70 0.40 0.00 0.05 0.00 0.00 2.92
## [199] 3.00 0.00 0.16 3.15 2.75 0.73 3.20 3.00 0.00 4.00 5.80
## [210] 8.80 0.05 1.00 3.00 0.00 0.00 7.77 0.52 0.81 0.00 7.40
## [221] 0.00 0.50 2.40 7.50 7.28 5.04 4.46 10.00 2.00 0.00 2.35
## [232] 13.20 1.75 0.00 0.00 18.00 5.50 5.76 0.00 0.00 5.20 6.00
## [243] 4.18 0.76 4.60 0.00 0.40 4.00 0.60 6.00 6.17 0.00 3.00
## [254] 7.50 9.00 13.02 5.08 4.48 12.00 1.80 0.00 0.61 1.04 5.00
## [265] 9.90 0.12 0.12 12.00 0.10 6.80 0.00 2.20 1.36 4.20 0.80
## [276] 8.80 2.02 4.25 0.00 0.12 1.08 3.60 0.00 3.00 15.00 0.21
## [287] 0.00 0.02 0.05 0.60 0.00 0.48 0.18 2.60 0.00 0.00 0.10
## [298] 0.00 12.00 4.10 0.00 2.27 0.00 0.00 1.20 0.00 14.40 8.40
## [309] 2.40 0.05 3.50 9.60 1.50 0.00 5.15 1.40 0.00 1.20 11.40
## [320] 3.72 0.00 4.36 6.00 8.60 1.70 0.00 0.00 0.00 5.60 0.40
## [331] 0.31 3.10 6.40 19.45 1.35 6.94 7.28 6.00 0.00 4.20 1.62
## [342] 4.28 6.30 0.87 1.20 0.52 4.50 5.40 0.08 5.60 10.50 3.99
## [353] 1.20 11.79 1.70 0.90 0.00 6.60 4.05 1.68 12.30 0.40 4.20
## [364] 0.60 3.02 0.72 0.00 0.12 3.40 0.50 8.20 6.00 1.60 5.16
## [375] 0.00 0.00 3.60 1.25 0.96 4.50 1.44 8.00 1.68 2.60 19.60
## [386] 4.20 0.00 4.50 0.00 5.60 0.54 2.40 0.95 3.57 12.50 0.00
## [397] 7.00 11.20 8.75 0.00 6.10 0.00 5.50 5.04 1.15 2.38 25.01
## [408] 19.20 4.20 0.00 20.00 0.80 8.20 0.92 6.40 1.10 16.00 0.00
## [419] 2.80 0.00 5.50 0.00 13.80 6.00 2.20 0.00 1.32 1.16 7.20
## [430] 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.06 1.22 4.00
## [441] 0.00 0.00 6.00 0.57 3.00 2.80 0.00 0.00 1.80 4.00 1.81
## [452] 0.00 5.53 1.60 0.64 2.24 0.40 0.40 4.20 3.00 5.40 0.00
SAheart[,3]
## [1] 5.73 4.41 3.48 6.41 3.50 6.47 3.38 4.59 3.83 5.80 2.95
## [12] 4.44 1.88 1.87 2.29 2.44 15.33 8.29 7.46 6.23 1.74 2.85
## [23] 6.38 3.81 4.34 12.42 9.65 5.24 5.55 6.62 3.95 6.33 5.58
## [34] 6.53 7.10 4.44 7.32 4.55 2.82 5.81 5.80 3.38 1.07 2.72
## [45] 2.99 3.31 8.55 7.56 1.94 3.88 5.75 3.66 9.12 1.55 1.82
## [56] 7.99 2.99 2.96 4.21 5.29 1.80 5.09 4.71 4.30 1.82 2.19
## [67] 3.24 1.88 7.27 3.37 3.67 2.66 3.37 5.03 6.17 4.12 5.90
## [78] 5.56 6.68 5.91 7.04 4.93 6.09 3.79 2.43 3.30 4.49 5.08
## [89] 5.64 4.04 2.83 4.02 2.40 3.95 6.32 4.37 4.90 5.00 11.32
## [100] 3.91 7.85 4.03 4.34 4.60 5.38 2.97 4.33 5.50 5.76 3.04
## [111] 8.01 8.53 3.66 8.46 3.17 10.58 4.59 5.91 6.99 3.92 6.13
## [122] 6.25 5.01 2.85 3.96 11.17 3.99 2.76 7.41 4.04 5.04 3.08
## [133] 3.73 5.52 3.30 9.05 3.69 3.70 3.68 3.95 5.90 4.89 5.53
## [144] 5.86 6.14 3.84 3.16 6.38 6.06 5.05 6.49 3.58 4.19 2.74
## [155] 4.80 3.12 2.81 5.13 3.05 5.45 6.22 3.12 2.68 3.84 3.08
## [166] 3.20 4.99 8.12 4.39 7.95 6.89 2.58 4.79 2.42 2.51 5.24
## [177] 2.70 2.42 8.22 4.91 4.31 6.06 4.67 2.05 6.73 3.18 6.40
## [188] 5.17 6.58 5.98 3.72 4.90 3.41 4.89 2.79 1.96 3.09 3.63
## [199] 9.19 4.66 2.44 4.37 5.51 3.97 3.59 4.64 5.09 6.65 5.90
## [210] 4.26 8.03 5.88 3.05 0.98 2.40 8.07 4.23 6.16 4.97 7.41
## [221] 3.14 6.95 8.13 7.39 3.52 4.86 7.18 3.79 5.11 5.47 3.36
## [232] 7.18 5.46 3.76 3.24 4.13 3.78 4.89 5.49 3.23 3.58 4.37
## [243] 5.05 10.53 7.40 2.63 3.91 4.18 6.94 5.21 8.12 6.34 3.82
## [254] 7.21 4.65 6.26 7.03 3.57 5.13 7.13 2.39 2.69 2.84 4.19
## [265] 4.63 1.96 4.16 4.96 3.95 7.84 4.16 4.16 3.16 5.59 2.47
## [276] 4.69 6.57 8.22 2.63 3.26 4.37 3.51 4.17 3.17 4.98 3.95
## [287] 3.69 2.80 4.61 5.28 1.71 7.26 4.14 7.22 5.63 4.19 3.28
## [298] 2.28 4.51 4.00 3.96 6.41 3.12 8.41 2.78 3.22 5.04 3.57
## [309] 2.55 2.44 5.26 2.51 2.46 3.27 6.03 1.72 2.28 3.98 5.08
## [320] 4.24 4.81 4.31 3.02 3.90 3.53 3.47 6.63 2.98 3.20 4.64
## [331] 2.33 2.01 8.49 4.22 6.39 4.55 3.56 7.24 5.32 2.94 9.01
## [342] 7.02 5.73 1.87 3.14 11.89 4.75 2.36 5.59 4.24 2.70 2.58
## [353] 8.28 4.01 5.28 3.18 2.43 6.08 5.15 3.58 5.96 3.67 2.91
## [364] 2.42 5.35 4.37 4.99 3.40 4.87 5.97 7.75 5.97 5.41 4.90
## [375] 2.40 5.29 4.16 4.69 4.99 4.68 2.71 4.42 11.41 4.94 6.03
## [386] 6.76 4.17 10.49 4.92 3.17 3.63 5.63 4.75 3.57 2.73 3.54
## [397] 7.67 2.77 6.06 3.57 4.77 4.17 3.79 5.19 10.19 5.67 3.70
## [408] 4.43 3.58 3.10 9.78 5.63 14.16 2.66 5.62 3.54 5.56 3.14
## [419] 4.79 4.55 3.51 3.86 5.10 3.98 3.29 3.30 7.63 2.28 3.65
## [430] 3.57 3.89 1.43 4.00 2.46 3.55 1.77 1.86 4.15 3.30 2.40
## [441] 7.14 3.98 8.80 4.75 3.69 2.53 4.32 1.88 3.74 5.03 3.31
## [452] 2.77 3.20 7.22 4.82 2.83 4.11 5.98 4.41 1.59 11.61 4.82
str(SAheart)
## 'data.frame': 462 obs. of 10 variables:
## $ sbp : int 160 144 118 170 134 132 142 114 114 132 ...
## $ tobacco : num 12 0.01 0.08 7.5 13.6 6.2 4.05 4.08 0 0 ...
## $ ldl : num 5.73 4.41 3.48 6.41 3.5 6.47 3.38 4.59 3.83 5.8 ...
## $ adiposity: num 23.1 28.6 32.3 38 27.8 ...
## $ famhist : Factor w/ 2 levels "Absent","Present": 2 1 2 2 2 2 1 2 2 2 ...
## $ typea : int 49 55 52 51 60 62 59 62 49 69 ...
## $ obesity : num 25.3 28.9 29.1 32 26 ...
## $ alcohol : num 97.2 2.06 3.81 24.26 57.34 ...
## $ age : int 52 63 46 58 49 45 38 58 29 53 ...
## $ chd : Factor w/ 2 levels "No","Si": 2 2 1 2 2 1 1 2 1 2 ...
summary(SAheart)
## sbp tobacco ldl adiposity
## Min. :101.0 Min. : 0.0000 Min. : 0.980 Min. : 6.74
## 1st Qu.:124.0 1st Qu.: 0.0525 1st Qu.: 3.283 1st Qu.:19.77
## Median :134.0 Median : 2.0000 Median : 4.340 Median :26.11
## Mean :138.3 Mean : 3.6356 Mean : 4.740 Mean :25.41
## 3rd Qu.:148.0 3rd Qu.: 5.5000 3rd Qu.: 5.790 3rd Qu.:31.23
## Max. :218.0 Max. :31.2000 Max. :15.330 Max. :42.49
## famhist typea obesity alcohol
## Absent :270 Min. :13.0 Min. :14.70 Min. : 0.00
## Present:192 1st Qu.:47.0 1st Qu.:22.98 1st Qu.: 0.51
## Median :53.0 Median :25.80 Median : 7.51
## Mean :53.1 Mean :26.04 Mean : 17.04
## 3rd Qu.:60.0 3rd Qu.:28.50 3rd Qu.: 23.89
## Max. :78.0 Max. :46.58 Max. :147.19
## age chd
## Min. :15.00 No:302
## 1st Qu.:31.00 Si:160
## Median :45.00
## Mean :42.82
## 3rd Qu.:55.00
## Max. :64.00
cor(SAheart$tobacco, SAheart$alcohol)
## [1] 0.2008134
plot(SAheart$tobacco,SAheart$alcohol)
cor(SAheart$obesity, SAheart$alcohol)
## [1] 0.05161957
plot(SAheart$obesity,SAheart$alcohol)
cor(SAheart$age, SAheart$alcohol)
## [1] 0.1011246
plot(SAheart$age,SAheart$alcohol)
Punto 8 Instalar paquetes install.packages(“PAQUETE A INSTALAR”)
Ejemplos
ggplot2 (para mejorar estetica de gráficos)
#Tomamos una base pre-existente
iris
## Sepal.Length Sepal.Width Petal.Length Petal.Width Species
## 1 5.1 3.5 1.4 0.2 setosa
## 2 4.9 3.0 1.4 0.2 setosa
## 3 4.7 3.2 1.3 0.2 setosa
## 4 4.6 3.1 1.5 0.2 setosa
## 5 5.0 3.6 1.4 0.2 setosa
## 6 5.4 3.9 1.7 0.4 setosa
## 7 4.6 3.4 1.4 0.3 setosa
## 8 5.0 3.4 1.5 0.2 setosa
## 9 4.4 2.9 1.4 0.2 setosa
## 10 4.9 3.1 1.5 0.1 setosa
## 11 5.4 3.7 1.5 0.2 setosa
## 12 4.8 3.4 1.6 0.2 setosa
## 13 4.8 3.0 1.4 0.1 setosa
## 14 4.3 3.0 1.1 0.1 setosa
## 15 5.8 4.0 1.2 0.2 setosa
## 16 5.7 4.4 1.5 0.4 setosa
## 17 5.4 3.9 1.3 0.4 setosa
## 18 5.1 3.5 1.4 0.3 setosa
## 19 5.7 3.8 1.7 0.3 setosa
## 20 5.1 3.8 1.5 0.3 setosa
## 21 5.4 3.4 1.7 0.2 setosa
## 22 5.1 3.7 1.5 0.4 setosa
## 23 4.6 3.6 1.0 0.2 setosa
## 24 5.1 3.3 1.7 0.5 setosa
## 25 4.8 3.4 1.9 0.2 setosa
## 26 5.0 3.0 1.6 0.2 setosa
## 27 5.0 3.4 1.6 0.4 setosa
## 28 5.2 3.5 1.5 0.2 setosa
## 29 5.2 3.4 1.4 0.2 setosa
## 30 4.7 3.2 1.6 0.2 setosa
## 31 4.8 3.1 1.6 0.2 setosa
## 32 5.4 3.4 1.5 0.4 setosa
## 33 5.2 4.1 1.5 0.1 setosa
## 34 5.5 4.2 1.4 0.2 setosa
## 35 4.9 3.1 1.5 0.2 setosa
## 36 5.0 3.2 1.2 0.2 setosa
## 37 5.5 3.5 1.3 0.2 setosa
## 38 4.9 3.6 1.4 0.1 setosa
## 39 4.4 3.0 1.3 0.2 setosa
## 40 5.1 3.4 1.5 0.2 setosa
## 41 5.0 3.5 1.3 0.3 setosa
## 42 4.5 2.3 1.3 0.3 setosa
## 43 4.4 3.2 1.3 0.2 setosa
## 44 5.0 3.5 1.6 0.6 setosa
## 45 5.1 3.8 1.9 0.4 setosa
## 46 4.8 3.0 1.4 0.3 setosa
## 47 5.1 3.8 1.6 0.2 setosa
## 48 4.6 3.2 1.4 0.2 setosa
## 49 5.3 3.7 1.5 0.2 setosa
## 50 5.0 3.3 1.4 0.2 setosa
## 51 7.0 3.2 4.7 1.4 versicolor
## 52 6.4 3.2 4.5 1.5 versicolor
## 53 6.9 3.1 4.9 1.5 versicolor
## 54 5.5 2.3 4.0 1.3 versicolor
## 55 6.5 2.8 4.6 1.5 versicolor
## 56 5.7 2.8 4.5 1.3 versicolor
## 57 6.3 3.3 4.7 1.6 versicolor
## 58 4.9 2.4 3.3 1.0 versicolor
## 59 6.6 2.9 4.6 1.3 versicolor
## 60 5.2 2.7 3.9 1.4 versicolor
## 61 5.0 2.0 3.5 1.0 versicolor
## 62 5.9 3.0 4.2 1.5 versicolor
## 63 6.0 2.2 4.0 1.0 versicolor
## 64 6.1 2.9 4.7 1.4 versicolor
## 65 5.6 2.9 3.6 1.3 versicolor
## 66 6.7 3.1 4.4 1.4 versicolor
## 67 5.6 3.0 4.5 1.5 versicolor
## 68 5.8 2.7 4.1 1.0 versicolor
## 69 6.2 2.2 4.5 1.5 versicolor
## 70 5.6 2.5 3.9 1.1 versicolor
## 71 5.9 3.2 4.8 1.8 versicolor
## 72 6.1 2.8 4.0 1.3 versicolor
## 73 6.3 2.5 4.9 1.5 versicolor
## 74 6.1 2.8 4.7 1.2 versicolor
## 75 6.4 2.9 4.3 1.3 versicolor
## 76 6.6 3.0 4.4 1.4 versicolor
## 77 6.8 2.8 4.8 1.4 versicolor
## 78 6.7 3.0 5.0 1.7 versicolor
## 79 6.0 2.9 4.5 1.5 versicolor
## 80 5.7 2.6 3.5 1.0 versicolor
## 81 5.5 2.4 3.8 1.1 versicolor
## 82 5.5 2.4 3.7 1.0 versicolor
## 83 5.8 2.7 3.9 1.2 versicolor
## 84 6.0 2.7 5.1 1.6 versicolor
## 85 5.4 3.0 4.5 1.5 versicolor
## 86 6.0 3.4 4.5 1.6 versicolor
## 87 6.7 3.1 4.7 1.5 versicolor
## 88 6.3 2.3 4.4 1.3 versicolor
## 89 5.6 3.0 4.1 1.3 versicolor
## 90 5.5 2.5 4.0 1.3 versicolor
## 91 5.5 2.6 4.4 1.2 versicolor
## 92 6.1 3.0 4.6 1.4 versicolor
## 93 5.8 2.6 4.0 1.2 versicolor
## 94 5.0 2.3 3.3 1.0 versicolor
## 95 5.6 2.7 4.2 1.3 versicolor
## 96 5.7 3.0 4.2 1.2 versicolor
## 97 5.7 2.9 4.2 1.3 versicolor
## 98 6.2 2.9 4.3 1.3 versicolor
## 99 5.1 2.5 3.0 1.1 versicolor
## 100 5.7 2.8 4.1 1.3 versicolor
## 101 6.3 3.3 6.0 2.5 virginica
## 102 5.8 2.7 5.1 1.9 virginica
## 103 7.1 3.0 5.9 2.1 virginica
## 104 6.3 2.9 5.6 1.8 virginica
## 105 6.5 3.0 5.8 2.2 virginica
## 106 7.6 3.0 6.6 2.1 virginica
## 107 4.9 2.5 4.5 1.7 virginica
## 108 7.3 2.9 6.3 1.8 virginica
## 109 6.7 2.5 5.8 1.8 virginica
## 110 7.2 3.6 6.1 2.5 virginica
## 111 6.5 3.2 5.1 2.0 virginica
## 112 6.4 2.7 5.3 1.9 virginica
## 113 6.8 3.0 5.5 2.1 virginica
## 114 5.7 2.5 5.0 2.0 virginica
## 115 5.8 2.8 5.1 2.4 virginica
## 116 6.4 3.2 5.3 2.3 virginica
## 117 6.5 3.0 5.5 1.8 virginica
## 118 7.7 3.8 6.7 2.2 virginica
## 119 7.7 2.6 6.9 2.3 virginica
## 120 6.0 2.2 5.0 1.5 virginica
## 121 6.9 3.2 5.7 2.3 virginica
## 122 5.6 2.8 4.9 2.0 virginica
## 123 7.7 2.8 6.7 2.0 virginica
## 124 6.3 2.7 4.9 1.8 virginica
## 125 6.7 3.3 5.7 2.1 virginica
## 126 7.2 3.2 6.0 1.8 virginica
## 127 6.2 2.8 4.8 1.8 virginica
## 128 6.1 3.0 4.9 1.8 virginica
## 129 6.4 2.8 5.6 2.1 virginica
## 130 7.2 3.0 5.8 1.6 virginica
## 131 7.4 2.8 6.1 1.9 virginica
## 132 7.9 3.8 6.4 2.0 virginica
## 133 6.4 2.8 5.6 2.2 virginica
## 134 6.3 2.8 5.1 1.5 virginica
## 135 6.1 2.6 5.6 1.4 virginica
## 136 7.7 3.0 6.1 2.3 virginica
## 137 6.3 3.4 5.6 2.4 virginica
## 138 6.4 3.1 5.5 1.8 virginica
## 139 6.0 3.0 4.8 1.8 virginica
## 140 6.9 3.1 5.4 2.1 virginica
## 141 6.7 3.1 5.6 2.4 virginica
## 142 6.9 3.1 5.1 2.3 virginica
## 143 5.8 2.7 5.1 1.9 virginica
## 144 6.8 3.2 5.9 2.3 virginica
## 145 6.7 3.3 5.7 2.5 virginica
## 146 6.7 3.0 5.2 2.3 virginica
## 147 6.3 2.5 5.0 1.9 virginica
## 148 6.5 3.0 5.2 2.0 virginica
## 149 6.2 3.4 5.4 2.3 virginica
## 150 5.9 3.0 5.1 1.8 virginica
correlacion<-cor(iris[,-5])
correlacion
## Sepal.Length Sepal.Width Petal.Length Petal.Width
## Sepal.Length 1.0000000 -0.1175698 0.8717538 0.8179411
## Sepal.Width -0.1175698 1.0000000 -0.4284401 -0.3661259
## Petal.Length 0.8717538 -0.4284401 1.0000000 0.9628654
## Petal.Width 0.8179411 -0.3661259 0.9628654 1.0000000
#Convocamos librería
library(corrplot)
## Warning: package 'corrplot' was built under R version 3.3.3
library(ggplot2)
## Warning: package 'ggplot2' was built under R version 3.3.3
corrplot(correlacion)
corrplot(correlacion, method="shade")
corrplot(correlacion, method="number")
qplot(Petal.Length,Sepal.Width,geom="point", data=iris, colour=Species)
boxplot(iris[,-5])
9 Tablas de contingencia
library(foreign)
## Warning: package 'foreign' was built under R version 3.3.3
#Frecuencia simple
Tabla<-table(iris$Species)
prop.table(Tabla)
##
## setosa versicolor virginica
## 0.3333333 0.3333333 0.3333333
prop.table(Tabla)*100
##
## setosa versicolor virginica
## 33.33333 33.33333 33.33333
#Armar tramos en variables continuas
Sepalo.tramos <-cut(iris$Sepal.Length,breaks=c(4,5,6,7,8))
Iris1<- cbind(iris, Sepalo.tramos)
#Tabla de Contingencia
Tabla.tramos<-table(Iris1$Species,Iris1$Sepalo.tramos)
prop.table(Tabla.tramos)*100
##
## (4,5] (5,6] (6,7] (7,8]
## setosa 18.6666667 14.6666667 0.0000000 0.0000000
## versicolor 2.0000000 18.0000000 13.3333333 0.0000000
## virginica 0.6666667 5.3333333 19.3333333 8.0000000