How to use mutate() function from dplyr package In R Language
In this approach for numbering rows within the group of the dataframe using ave function, the user needs to install and import the dplyr package in the working R console, here this package is required to import because the function mutate() is the function present in this particular library, then the user needs to call the mutate() function with the required parameter passed into it, to get the numbering rows within the group of the given dataframe in the R programming language.
mutate() function is used to mutate adds new variables and preserves existing; transmute drops existing variables.
Syntax:
mutate(.data, …)
Parameters:
- .data: A tbl. All main verbs are S3 generics and provide methods for tbl_df, tbl_dt and tbl_sql.
- … : Name-value pairs of expressions. Use NULL to drop a variable.
Example: Numbering rows within groups
R
library("dplyr") gfg<-data.frame(x=1:20,group=c(rep("g1", 8),rep("g2", 5), rep("g3",4),rep("g4",3))) gfg <- gfg %>% group_by(group) %>% mutate(numbering = row_number()) gfg |
Output:
Numbering Rows within Groups of DataFrame in R
In this article, we will discuss how to number rows within the group of the dataframe in the R programming language
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