library(ggplot2)
data(iris)
summary(iris)
##   Sepal.Length    Sepal.Width     Petal.Length    Petal.Width   
##  Min.   :4.300   Min.   :2.000   Min.   :1.000   Min.   :0.100  
##  1st Qu.:5.100   1st Qu.:2.800   1st Qu.:1.600   1st Qu.:0.300  
##  Median :5.800   Median :3.000   Median :4.350   Median :1.300  
##  Mean   :5.843   Mean   :3.057   Mean   :3.758   Mean   :1.199  
##  3rd Qu.:6.400   3rd Qu.:3.300   3rd Qu.:5.100   3rd Qu.:1.800  
##  Max.   :7.900   Max.   :4.400   Max.   :6.900   Max.   :2.500  
##        Species  
##  setosa    :50  
##  versicolor:50  
##  virginica :50  
##                 
##                 
##

matriz de correlación.

cor(iris[,-5])
##              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

Se observa que las variables más correlacionadas son longitud del petalo y ancho del petalo, las cuales tienen una correlación positiva y fuerte del 0.96.

Histogramas

ggplot(iris, aes(x=Sepal.Length))+
  geom_histogram(fill="red")
## `stat_bin()` using `bins = 30`. Pick better value `binwidth`.

ggplot(iris, aes(x=Sepal.Width))+
  geom_histogram(fill="blue")
## `stat_bin()` using `bins = 30`. Pick better value `binwidth`.

ggplot(iris, aes(x=Petal.Length))+
  geom_histogram(fill="green")
## `stat_bin()` using `bins = 30`. Pick better value `binwidth`.

ggplot(iris, aes(x=Petal.Width))+
  geom_histogram(fill="gold")
## `stat_bin()` using `bins = 30`. Pick better value `binwidth`.

Diagramas de cajas por Specie.

ggplot(iris, aes(y=Sepal.Length, x=Species, fill=Species))+
  geom_boxplot()

Se observa que la Specie Virginica es la que tiene mayor longitud del sepalo.

ggplot(iris, aes(y=Sepal.Width, x=Species, fill=Species))+
  geom_boxplot()

ggplot(iris, aes(y=Petal.Length, x=Species, fill=Species))+
  geom_boxplot()

ggplot(iris, aes(y=Petal.Width, x=Species, fill=Species))+
  geom_boxplot()

Panel Gráficos.

library(gridExtra)

g1 = ggplot(iris, aes(y=Sepal.Length, x=Species, fill=Species))+
  geom_boxplot()

g2 = ggplot(iris, aes(y=Sepal.Width, x=Species, fill=Species))+
  geom_boxplot()

g3 = ggplot(iris, aes(y=Petal.Length, x=Species, fill=Species))+
  geom_boxplot()

g4 = ggplot(iris, aes(y=Petal.Width, x=Species, fill=Species))+
  geom_boxplot()

grid.arrange(g1,g2,g3,g4)

Graficos de Dispersión.

Imagenes

Conclusiones