Imputing missing values linearly in R

Question

I have a data frame with missing values:

X   Y   Z
54  57  57
100 58  58
NA  NA  NA
NA  NA  NA
NA  NA  NA
60  62  56
NA  NA  NA
NA  NA  NA
69  62  62
         


        

Answer 1

I can recommend the imputeTS package, which I am maintaining (even if it's for time series imputation)

For this case it would work like this:

library(imputeTS)
df$X <- na.interpolation(df$X, option ="linear")
df$Y <- na.interpolation(df$Y, option ="linear")
df$Z <- na.interpolation(df$Z, option ="linear")

As mentioned the package requires time series / vector input. (that's why each column has to be called seperatly)

The package offers also a lot of other imputation functions like e.g. spline interpolation.