dplyr distinct() Function Usage & Examples
distinct() is a function of dplyr package that is used to select distinct or unique rows from the R data frame. In this article, I will explain the syntax, usage,…
distinct() is a function of dplyr package that is used to select distinct or unique rows from the R data frame. In this article, I will explain the syntax, usage,…
By using rename() and rename_with() functions from dplyr/tidyverse package you can rename/change a single column name, multiple columns, rename by index, and rename all column names on R DataFrame. dplyr is…
select() is a function from dplyr R package that is used to select data frame variables by name, by index, and also is used to rename variables while selecting, and…
The slice() function from dplyr package is used to subset the R data.frame rows (observations) based on index/position/number and also used to drop the rows and duplicate the rows by…
In this R dplyr tutorial with examples, I will explain what is R? Introduction, dplyr verbs, and how to use them with examples. All examples provided in this R dplyr…
The filter() function from dplyr package is used to filter the data frame rows in R. Note that filter() doesn't actually filter the data instead it retains all rows that…
Use mutate() and its other verbs mutate_all(), mutate_if() and mutate_at() from dplyr package to replace/update the values of the column (string, integer, or any type) in R DataFrame (data.frame). For…