Category: R
How to create reproducible R data frame from existing one
Short answer – create a reproducible R data frame with function dput. Dput will give you a good reproducible piece of code that you can use for examples.
R ignoring NA value?
Sometimes it might be very confusing when it looks like R is ignoring the NA value. When some of the code relying on that values, the results might be confusing.
How to change datetime timezone in R
Here is a simple way how to change datetime timezone in the R data frame. If the timezone is not present or is different, there can cause a problem in your calculations. Usually like incorrect results of time difference.
rbind error: numbers of columns of arguments do not match
If you are having this rbind error “numbers of columns of arguments do not match”, there might be a solution to this problem. It is caused by different column names in data frames. The good news is that there is a quick solution to that.
Extract text based on match of multiple possible strings in R
Sometimes there are multiple possible strings that you can locate in text. If you would like to extract text in R based on the first match of multiple strings, this post is for you.
ifelse and NA problem in R
If your data frame contains NA values, then the R function ifelse might return results you don’t desire. Missing values might be a problem for ifelse. The first victory is that you are aware of that.
Replace R data frame column values conditionally
Here are multiple examples of how to replace R data frame values conditionally. Sometimes it is a specific value like NA, but sometimes exact columns, where you want to do the replacement.
Check if a column has a missing values (NA) in R
Here are easy ways how to check if an R data frame column has missing values (NA). It might impact results by using R functions like ifelse, and it is good to know where the NA values might cause a problem.
Last or first date of the month in R
Here is probably the easiest way how to get the last or first date of the month that might be helpful in further calculations in R. You will need a lubridate package.
Remove or replace unwanted characters in R
In a messy text might be a lot of characters that you don’t want to export to CSV or text files. That might cause a problem in loading them properly. Characters like tab, line breaks, or carriage returns. Here is how to remove or replace characters in R.