Here is an excerpt of numeric matrix that I have
[1,] 30 -33.129487 3894754.1 -39.701738 -38.356477 -34.220534
[2,] 29 -44.289487 -8217525.9 -44.801
Not the prettiest but this just got the job done, since I needed to do this in a dataframe.
column_zero_one_range_scale <- function(
input_df,
columns_to_scale #columns in input_df to scale, must be numeric
){
input_df_replace <- input_df
columncount <- length(columns_to_scale)
for(i in 1:columncount){
columnnum <- columns_to_scale[i]
if(class(input_df[,columnnum]) !='numeric' & class(input_df[,columnnum])!='integer')
{print(paste('Column name ',colnames(input_df)[columnnum],' not an integer or numeric, will skip',sep='')) }
if(class(input_df[,columnnum]) %in% c('numeric','integer'))
{
vec <- input_df[,columnnum]
rangevec <- max(vec,na.rm=T)-min(vec,na.rm=T)
vec1 <- vec - min(vec,na.rm=T)
vec2 <- vec1/rangevec
}
input_df_replace[,columnnum] <- vec2
colnames(input_df_replace)[columnnum] <- paste(colnames(input_df)[columnnum],'_scaled')
}
return(input_df_replace)
}