Last Observation Carried Forward in R

Nathan Eastwood shows how to perform Last Observation Carried Forward in R:

Real life data is often riddled with missing values – or NAs – where no data value are stored for the variable in observation. Missing data such as this can have a significant effect on the conclusions which can be drawn from the data. For example individuals dropping out of a study or subjects not properly reporting responses. A common solution to this problem is to fill those NA values with the most recent non-NA value prior to it – this is called the Last Observation Carried Forward (LOCF) method.

This blog post will look at how to implement this particular solution using a combination of {dplyr}, {dbplyr} and {sparklyr}.

Click through for the solution.