#' @title Statistical plots for all numeric variables
#'
#' @description Plot box plot and histogram for all numeric variables
#'
#' @param data columnn (user can give this parameter as it is) exportfile
#'
#' @return NULL
#'
#' @examples Statplot_all_numerics ("Boston", columnn, exportfileto = "new directory")
#'
#' @export Statplot_all_numerics
Statplot_all_numerics <- function(data, columnn, exportfileto = " ")
{
# Create a new folder, if not exists, else hit error as folder already exists
ifelse(!dir.exists(exportfileto), dir.create(exportfileto), FALSE)
setwd(exportfileto)
{
for(i in 1:ncol(data))
{
# Passing all the columns in a dataset to the vector columnn
columnn <- c(i)
for(var in columnn)
{
# Check whether the variable is categorical or not
if(is.factor(data[, var]) | (length(unique(data[,var]))/nrow(data)*100 < 5))
{
print(paste(names(data)[var],'is categorical'))
}
# Check whether the variable is numeric or not
else if(is.numeric(data[, var]) )
{
png(filename = paste(paste(names(data)[var], ".png", sep="")))
par(mfrow=c(1,2))
# Plot the boxplots
boxplot(data[,var], main = paste("Boxplot of", names(data)[var]),
ylab = names(data)[var], col = "maroon", border = "grey5",
horizontal = T)
# Plot the histogram
hist(data[,var], main = paste("Histogram of", names(data)[var]),
xlab = names(data)[var], ylab = paste("No. of", names(data)[var]), col = "lightgreen", border=F)
# Export the png files to the folder which user passes into the function
dev.off() #NOTE this step
}
}
}
}
}
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