The Correct Way To Load Libraries In R

Kevin Feasel

2017-10-24

R

Gerald Belton opens a can of worms:

When I was an R newbie, I was taught to load packages by using the command library(package). In my Linear Models class, the instructor likes to use require(package). This made me wonder, are the commands interchangeable? What’s the difference, and which command should I use?

Interchangeable commands . . .

The way most users will use these commands, most of the time, they are actually interchangeable. That is, if you are loading a library that has already been installed, and you are using the command outside of a function definition, then it makes no difference if you use “require” or “library.” They do the same thing.

… Well, almost interchangeable

Read on to understand the differences between the two.  I end up doing something very similar to his code snippet for exactly the reason he describes.  H/T R-Bloggers

Related Posts

Building Dynamic Row Headers With ML Services

Dave Mason tries to get around his RESULT SETS limitation when using SQL Server Machine Learning Services: The columns in the data frame clearly have names, but SQL Server isn’t using them. The data frame columns have types in R too (more on this in a moment). Now that makes me wonder about the data […]

Read More

Defining Result Sets With ML Services

Dave Mason covers a pain point in SQL Server Machine Learning Services: The example above is so simple, defining the RESULT SETS poses no problems. But what if the format of the output isn’t known at design time? R (or Python) might take the input data set and add, remove, or change columns conditionally. Further, […]

Read More

Categories

October 2017
MTWTFSS
« Sep Nov »
 1
2345678
9101112131415
16171819202122
23242526272829
3031