I am new in R programming language. I just wanted to know is there any way to impute null values of just one column in our dataset. Because all of imputation co
Here is an example using the Hmisc
package and impute
library(Hmisc)
DF <- data.frame(age = c(10, 20, NA, 40), sex = c('male','female'))
# impute with mean value
DF$imputed_age <- with(DF, impute(age, mean))
# impute with random value
DF$imputed_age2 <- with(DF, impute(age, 'random'))
# impute with the media
with(DF, impute(age, median))
# impute with the minimum
with(DF, impute(age, min))
# impute with the maximum
with(DF, impute(age, max))
# and if you are sufficiently foolish
# impute with number 7
with(DF, impute(age, 7))
# impute with letter 'a'
with(DF, impute(age, 'a'))
Look at ?impute
for details on how the imputation is implemented