I am writing a R code that allows users to select columns from a data and plots histograms for each of them. Hence, I am using a \'for\' loop to generate the required number
You can vastly simplify your code by:
melt
in package reshape2
Here is a complete rewrite of your code, with no loop in sight.
data_ <- swiss
data_ <- na.omit(data_)
u <- c(2, 3, 4, 5, 6)
plotData <- data_[,u]
bw <- 5
plotType <- 'frequency'
library(ggplot2)
library(reshape2)
mdat <- melt(plotData)
if(plotType=='probability'){
ph <- ggplot(mdat, aes(value)) +
geom_histogram(aes(y=..density..), binwidth=bw, colour='black', fill='skyblue') +
geom_density() +
facet_wrap(~variable, scales="free")
}
if(plotType=='frequency'){
ph <- ggplot(mdat, aes(value)) +
geom_histogram(aes(y=..count..), binwidth=bw, colour='black', fill='skyblue') +
geom_density() +
facet_wrap(~variable, scales="free")
}
print(ph)
The resulting graphics:
Probability:
Frequency