## Warning: package 'ggdist' was built under R version 4.4.3
## Warning: package 'dplyr' was built under R version 4.4.3
## 
## Adjuntando el paquete: 'dplyr'
## The following objects are masked from 'package:stats':
## 
##     filter, lag
## The following objects are masked from 'package:base':
## 
##     intersect, setdiff, setequal, union
## Warning: package 'ggplot2' was built under R version 4.4.3

Histogramas

Raincloud plots

Normalidad

A simple vista parece que en algunas variables como el largo y ancho del sépalo se pronuncia una campana de distribución normal, pero en el largo y ancho del pétalo no, lo cual nos impide concluir que todas las variables de la base de datos Iris sean normales. Además de que aplicando un ‘shapiro.test’, nos damos cuenta de que los p-value obtenidos son mayores a 0.05 en la mayoría de casos. Por lo tanto no podemos asegurar que todas las variables de la base de datos Iris sean normales.

Curva normal superpuesta

Iris Setosa

## [1] "Shapiro-Wilk test para Sepal.Length"
## 
##  Shapiro-Wilk normality test
## 
## data:  data_vector
## W = 0.9777, p-value = 0.4595

## [1] "Shapiro-Wilk test para Sepal.Width"
## 
##  Shapiro-Wilk normality test
## 
## data:  data_vector
## W = 0.96869, p-value = 0.2047

## [1] "Shapiro-Wilk test para Petal.Length"
## 
##  Shapiro-Wilk normality test
## 
## data:  data_vector
## W = 0.95495, p-value = 0.05465

## [1] "Shapiro-Wilk test para Petal.Width"
## 
##  Shapiro-Wilk normality test
## 
## data:  data_vector
## W = 0.81382, p-value = 1.853e-06
## [[1]]
## 
##  Shapiro-Wilk normality test
## 
## data:  data_vector
## W = 0.9777, p-value = 0.4595
## 
## 
## [[2]]
## 
##  Shapiro-Wilk normality test
## 
## data:  data_vector
## W = 0.96869, p-value = 0.2047
## 
## 
## [[3]]
## 
##  Shapiro-Wilk normality test
## 
## data:  data_vector
## W = 0.95495, p-value = 0.05465
## 
## 
## [[4]]
## 
##  Shapiro-Wilk normality test
## 
## data:  data_vector
## W = 0.81382, p-value = 1.853e-06

Iris Versicolor

## [1] "Shapiro-Wilk test para Sepal.Length"
## 
##  Shapiro-Wilk normality test
## 
## data:  data_vector
## W = 0.97784, p-value = 0.4647

## [1] "Shapiro-Wilk test para Sepal.Width"
## 
##  Shapiro-Wilk normality test
## 
## data:  data_vector
## W = 0.97413, p-value = 0.338

## [1] "Shapiro-Wilk test para Petal.Length"
## 
##  Shapiro-Wilk normality test
## 
## data:  data_vector
## W = 0.966, p-value = 0.1585

## [1] "Shapiro-Wilk test para Petal.Width"
## 
##  Shapiro-Wilk normality test
## 
## data:  data_vector
## W = 0.94763, p-value = 0.02728
## [[1]]
## 
##  Shapiro-Wilk normality test
## 
## data:  data_vector
## W = 0.97784, p-value = 0.4647
## 
## 
## [[2]]
## 
##  Shapiro-Wilk normality test
## 
## data:  data_vector
## W = 0.97413, p-value = 0.338
## 
## 
## [[3]]
## 
##  Shapiro-Wilk normality test
## 
## data:  data_vector
## W = 0.966, p-value = 0.1585
## 
## 
## [[4]]
## 
##  Shapiro-Wilk normality test
## 
## data:  data_vector
## W = 0.94763, p-value = 0.02728

Iris Virginica

## [1] "Shapiro-Wilk test para Sepal.Length"
## 
##  Shapiro-Wilk normality test
## 
## data:  data_vector
## W = 0.97118, p-value = 0.2583

## [1] "Shapiro-Wilk test para Sepal.Width"
## 
##  Shapiro-Wilk normality test
## 
## data:  data_vector
## W = 0.96739, p-value = 0.1809

## [1] "Shapiro-Wilk test para Petal.Length"
## 
##  Shapiro-Wilk normality test
## 
## data:  data_vector
## W = 0.96219, p-value = 0.1098

## [1] "Shapiro-Wilk test para Petal.Width"
## 
##  Shapiro-Wilk normality test
## 
## data:  data_vector
## W = 0.95977, p-value = 0.08695
## [[1]]
## 
##  Shapiro-Wilk normality test
## 
## data:  data_vector
## W = 0.97118, p-value = 0.2583
## 
## 
## [[2]]
## 
##  Shapiro-Wilk normality test
## 
## data:  data_vector
## W = 0.96739, p-value = 0.1809
## 
## 
## [[3]]
## 
##  Shapiro-Wilk normality test
## 
## data:  data_vector
## W = 0.96219, p-value = 0.1098
## 
## 
## [[4]]
## 
##  Shapiro-Wilk normality test
## 
## data:  data_vector
## W = 0.95977, p-value = 0.08695