See how to join two data sets by one or more common columns using base R’s merge function, dplyr join functions, and the speedy data.table package. R has a number of quick, elegant ways to join data ...

Combining multiple datasets, whether by stacking or joining, is commonly necessary as is changing the shape of data. The plyr and reshape2 packages offer good functions for accomplishing this in ...

In our meeting on 24 February 2021 we discussed profiling and comparing of code running on data.table versus data.frame. Code and timing for examples are below. Comparison of multiple versions of R ...

The table below shows my favorite go-to R packages for data import, wrangling, visualization and analysis — plus a few miscellaneous tasks tossed in. The package names in the table are clickable if ...

R imports files is when the program reads an external file into memory and uses it in code to perform different manipulations and calculations. There are two different ways of doing this - using the ...

Once you’ve installed and configured R to your liking, it’s time to start using it to work with data. Yes, you can type your data directly into R’s interactive console. But for any kind of serious ...