Find and replace missing values with row mean

Question

I have a data frame with NAs and I want to replace the NAs with row means

c1 = c(1,2,3,NA)
c2 = c(3,1,NA,3)
c3 = c(2,1,3,1)

df = data.frame(c1,c2,c3)

>          


        

Answer 1

My solution is

rwmns = rowMeans(df,na.rm=TRUE)
df$c1[is.na(df$c1)] = rwmns[is.na(df$c1)]
df$c2[is.na(df$c2)] = rwmns[is.na(df$c2)]
df$c3[is.na(df$c3)] = rwmns[is.na(df$c3)]
> df
  c1 c2 c3
1  1  3  2
2  2  1  1
3  3  3  3
4  2  3  1

Is there a more elegant way, especially when someone has many columns?