Category: R
Calculate the percentage by a group in R, dplyr
Here is how to calculate the percentage by group or subgroup in R. If you like, you can add percentage formatting, then there is no problem, but take a quick look at this post to understand the result you might get.
Percentage format in R
Here is how to apply percentage format to decimal numbers in R and treat them as numeric. That is important if you would like to be able to do something relevant to numbers. For example, sorting by percentages or calculate the sum and get meaningful results.
How to split one column into multiple columns in R
If you want to split one data frame column into multiple in R, then here is how to do that in 3 different ways.
Problem with different format after using ifelse in R
Sometimes you might get results in a different format after using ifelse in R. Usually when returning NA in the results or something from a different data type. Here is how to fix that or use alternatives.
How to fix Windows path to use it in R
In R, you cant use Windows file or folder path straight forward. The direction of the slash symbols is critical, and here is how to quickly fix the Windows path to use it in R.
Error in R: could not find function “%>%”
Error in R – could not find function “%>%” – means that you don’t have loaded or installed the R package that is using that. The same is with any other “could not find function” R error.
How to get previous or next record in R
Here are two methods how to get the previous or next record in the R data frame. One of them is better in large data frames, but the other is more compact.
How to calculate age in R
Here is how to calculate age in R in a way that humans understand it. If someone has a birthday on 2000-01-01 and today is 2021-07-09, then that person is 21 years old.
How to load and combine multiple R RDS files
Saving data into an RDS file is one of my favorite ways to store data, but what if it is necessary to load and combine multiple R RDS files at once? Here is how to do that fast and easily.
Use ifelse across a range of R data frame columns
Here is how to apply the ifelse function across a range of multiple R data frame columns. Sometimes it is necessary to do calculations by a condition and it could be time-consuming to do that for each of multiple columns. Or even worse. Maybe the necessary columns are changing position over time and you have…