I have a dataset with both character and numeric variables - I am trying to replace all NA's and empty values in this data with "0". For a continuous variable, the NA/empty value should be replaced with a "numeric 0". For factor variables, the NA/empty value should be replaced with a "factor 0".
In the past, I used to use a standard command for replacing all NA's with 0 (in the below code, "df" represents the data frame containing the data):
df[df == NA] <- 0
I tried the above code on my data, but I still noticed that within the factor variables, this code was not able to replace
<NA> values with 0.
<NA> 's are still present.
I tried several approaches:
df[is.na(df)] <- 0
But this did not work:
Warning message: In '[<-.factor'('*tmp*',thisvar, value = 0): invalid factor level, NA generated
Second Approach : I tried for one of the factor variables
library(car) df$some_factor_var <- recode(df$some_factor_var, "NA = 0")
But this replaced every value within "some_factor_var" as 0
Third Approach : I tried again for one of the factor variables
library(forcats) fct_explicit_na(df$some_factor_var,0) Error: Can't convert a double vector to a character vector
Can someone please show me how to fix this problem? Is there a way to replace ALL empty/missing/NA values for all variables at once?