Vamos a utilizar la función barplot() y los paquetes gpplot2 y lattice.
EJERCICIOS ADICIONALES CON mtcars:
#mtcars
tabla.1 <- table( mtcars$cyl )
#tabla.1
colores <- c( "orange" ,
"green" ,
"yellow" )
#colores
plot.1 <- barplot( tabla.1 ,
xlab = "Cilindros" ,
ylab = "Frequencia" ,
main = "Nro de Cilindros" ,
col = colores )
plot.1
## [,1]
## [1,] 0.7
## [2,] 1.9
## [3,] 3.1
Con library lattice:
library(lattice)
#mtcars
tabla.1 <- table( mtcars$cyl )
#tabla.1
colores <- c( "orange" ,
"green" ,
"yellow" )
#colores
plot.3 <- barchart( tabla.1 ,
xlab = "Cilindros" ,
ylab = "Número de Cilindros" ,
main = "Número de Cilindros",
col = colores )
plot.3
CONTINUACION CON mtcars :
library(ggplot2)
plot.2 <- ggplot( mtcars ,
aes( cyl )) +
geom_bar( fill = colores ) +
labs( x= "Cilindros" ,
y = "Frecuencias" ,
title = "Numero de Cilindros")
plot.2
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