Colores

#ejemplo de uso de colores en R

summary(mtcars)

##       mpg             cyl             disp             hp       
##  Min.   :10.40   Min.   :4.000   Min.   : 71.1   Min.   : 52.0  
##  1st Qu.:15.43   1st Qu.:4.000   1st Qu.:120.8   1st Qu.: 96.5  
##  Median :19.20   Median :6.000   Median :196.3   Median :123.0  
##  Mean   :20.09   Mean   :6.188   Mean   :230.7   Mean   :146.7  
##  3rd Qu.:22.80   3rd Qu.:8.000   3rd Qu.:326.0   3rd Qu.:180.0  
##  Max.   :33.90   Max.   :8.000   Max.   :472.0   Max.   :335.0  
##       drat             wt             qsec             vs        
##  Min.   :2.760   Min.   :1.513   Min.   :14.50   Min.   :0.0000  
##  1st Qu.:3.080   1st Qu.:2.581   1st Qu.:16.89   1st Qu.:0.0000  
##  Median :3.695   Median :3.325   Median :17.71   Median :0.0000  
##  Mean   :3.597   Mean   :3.217   Mean   :17.85   Mean   :0.4375  
##  3rd Qu.:3.920   3rd Qu.:3.610   3rd Qu.:18.90   3rd Qu.:1.0000  
##  Max.   :4.930   Max.   :5.424   Max.   :22.90   Max.   :1.0000  
##        am              gear            carb      
##  Min.   :0.0000   Min.   :3.000   Min.   :1.000  
##  1st Qu.:0.0000   1st Qu.:3.000   1st Qu.:2.000  
##  Median :0.0000   Median :4.000   Median :2.000  
##  Mean   :0.4062   Mean   :3.688   Mean   :2.812  
##  3rd Qu.:1.0000   3rd Qu.:4.000   3rd Qu.:4.000  
##  Max.   :1.0000   Max.   :5.000   Max.   :8.000

data <- mtcars

data$vs <- as.factor(data$vs)
data$am <- as.factor(data$am)

summary(data)

##       mpg             cyl             disp             hp       
##  Min.   :10.40   Min.   :4.000   Min.   : 71.1   Min.   : 52.0  
##  1st Qu.:15.43   1st Qu.:4.000   1st Qu.:120.8   1st Qu.: 96.5  
##  Median :19.20   Median :6.000   Median :196.3   Median :123.0  
##  Mean   :20.09   Mean   :6.188   Mean   :230.7   Mean   :146.7  
##  3rd Qu.:22.80   3rd Qu.:8.000   3rd Qu.:326.0   3rd Qu.:180.0  
##  Max.   :33.90   Max.   :8.000   Max.   :472.0   Max.   :335.0  
##       drat             wt             qsec       vs     am          gear      
##  Min.   :2.760   Min.   :1.513   Min.   :14.50   0:18   0:19   Min.   :3.000  
##  1st Qu.:3.080   1st Qu.:2.581   1st Qu.:16.89   1:14   1:13   1st Qu.:3.000  
##  Median :3.695   Median :3.325   Median :17.71                 Median :4.000  
##  Mean   :3.597   Mean   :3.217   Mean   :17.85                 Mean   :3.688  
##  3rd Qu.:3.920   3rd Qu.:3.610   3rd Qu.:18.90                 3rd Qu.:4.000  
##  Max.   :4.930   Max.   :5.424   Max.   :22.90                 Max.   :5.000  
##       carb      
##  Min.   :1.000  
##  1st Qu.:2.000  
##  Median :2.000  
##  Mean   :2.812  
##  3rd Qu.:4.000  
##  Max.   :8.000

library(ggplot2)

grafica <- ggplot(data, aes(mpg,hp,color=am),size=2, alpha=hp)

grafica <- grafica + geom_point()

grafica <- grafica + scale_color_manual(values = c("8b005a","#c7b5ff","#3f9500"))

grafica

grafica6<- ggplot(data,aes(mpg,fill=as.factor(cyl)))
grafica6<- grafica6 + geom_histogram()
grafica6<- grafica6 + scale_fill_manual(values =c('#8b005a','#c7b5ff', '#3f9500'))
grafica6

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