To concatenate, you can use R base functions paste and paste0 that are almost the same. The only difference is in the separator argument. In this situation, we will use the collapse argument that will separate all the text within a group when concatenated.
Here is a quick and easy way hot to get the maximum or minimum value within each group in R in separate columns. Let’s take a look at the data set with NA values, which makes it a little bit harder.
Here is my compilation of best tips, resources, and observations that are very useful when working from home. Especially helpful in this time during the Covid-19 pandemic.
With the help of additional custom visualization, it is possible to create pretty awesome dynamic Power BI map visualization to see how things are changing during a time.
Here is a list of my most used time-saving tips and tricks or just great looking features in RStudio.
RStudio snippets are very handy when it comes to dealing with repetitive tasks. Here is how to modify RStudio snippets or create a new one.
Here is how to calculate cumulative sum or count by using R built-in datasets.
There are at least two ways how to fill down values in R data frame columns. The fastest way is to use zoo package function na.locf that is combined with dplyr function mutate. Besides, sometimes in R, it is necessary to replace NA with 0. All of those things in this post.
In this post, I will explain the approach on how to combine numbers with R to find out which of them makes a certain sum. First of all, we will generate all possible number combinations from the vector or data frame column. That will give us multiple matrices. Then we will combine them in a…