R: How to calculate mean for each row with missing values using dplyr

Question

I want to calculate means over several columns for each row in my dataframe containing missing values, and place results in a new column called \'means.\' Here\'s my datafra

Answer 1

It is simple to accomplish in base R as well:

cbind(df, "means"=rowMeans(df, na.rm=TRUE))
  A B  C    means
1 3 0  9 4.000000
2 4 6 NA 5.000000
3 5 8  1 4.666667

The rowMeans performs the calculation.and allows for the na.rm argument to skip missing values, while cbind allows you to bind the mean and whatever name you want to the the data.frame, df.