I'm creating this function in R, that will create normalization. In data2
, YearlyIncome
column has large difference from lowest value to highest value. I want normalization convert value from 0 to 1.
The value values of apply function overwrite to YearlyIncome
.
> x <- data2$YearlyIncome
> a <- min(x)
> b <- max(x)
> fun <- function(x){ (x - a) / (b - a) }
> fun(data$YearlyIncome)
Error in data$YearlyIncome : object of type 'closure' is not subsettable
> fun <- function(x){ (x - min(x))/(max(x) - min(x)) }
> fun(data2[1])
Show Traceback
Rerun with Debug
Error in FUN(X[[i]], ...) :
only defined on a data frame with all numeric variables
But I got this error:
>Error in x - a : non-numeric argument to binary operator
So what do I do now?
Here, we are subsetting the first column. The apply
is not needed for that.
fun(data$YearlyIncome)
where
fun <- function(x){ (x - min(x))/(max(x) - min(x)) }