data ("iris")
summary ("iris")
##    Length     Class      Mode 
##         1 character character

Interpretación

En la anterior tabla, se presentan las estadisticas descriptivas, del documento de datos iris, donde se observan 50 muestras por cada especie.

Histogramas

library(ggplot2)
ggplot(iris, aes(x=Sepal.Length))+
  geom_histogram(fill="pink")
## `stat_bin()` using `bins = 30`. Pick better value `binwidth`.

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

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

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

Panel grafico

## `stat_bin()` using `bins = 30`. Pick better value `binwidth`.
## `stat_bin()` using `bins = 30`. Pick better value `binwidth`.

Diagrama de cajas

ggplot(iris, aes(x=Sepal.Length))+
  geom_boxplot(fill="pink")

ggplot(iris, aes(x=Sepal.Width))+
  geom_boxplot(fill="yellow")

ggplot(iris, aes(x=Petal.Length))+
  geom_boxplot(fill="lightblue")

ggplot(iris, aes(x=Petal.Width))+
  geom_boxplot(fill="orange")

Diagramas comparativos

###Una variable numerica y otra cualitativa

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

agregar imagenes

FLOR1
FLOR1