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How is the selection language used in dplyr?


Asked by Zariah Guerrero on Dec 02, 2021 FAQ



The selection language can be used in functions like dplyr::select () or tidyr::pivot_longer (). Let's first attach the tidyverse: Select variables by name: Select multiple variables by separating them with commas. Note how the order of columns is determined by the order of inputs:
One may also ask,
Dplyr aims to provide a function for each basic verb of data manipulation: filter()to select cases based on their values. arrange()to reorder the cases. select()and rename()to select variables based on their names.
Accordingly, Select variables (column) in R using Dplyr – select () Function Select function in R is used to select variables (columns) in R using Dplyr package.
Keeping this in consideration,
In short, it makes data exploration and data manipulation easy and fast in R. What's special about dplyr? The package "dplyr" comprises many functions that perform mostly used data manipulation operations such as applying filter, selecting specific columns, sorting data, adding or deleting columns and aggregating data.
Thereof,
Data masking makes it easy to compute on values within a dataset. Tidy selection is a complementary tool that makes it easy to work with the columns of a dataset. Underneath all functions that use tidy selection is the tidyselect package.