Example 2: Selecting Multiple Columns by Indices To select multiple columns simultaneously, you can provide a vector of column indices within the square brackets. For instance, if we want to select the first and third columns from df :
select(): Extract one or multiple columns as a data table. It can be also used to remove columns from the data frame. select_if(): Select columns based on a particular condition. One can use this function to, for example, select columns if they are numeric. Helper functions-starts_with...
Example 1: Selecting Specific Columns by Index library(dplyr)Delftstack<-data.frame(Name=c("Jack","John","Mike","Michelle","Jhonny"),LastName=c("Danials","Cena","Chandler","McCool","Nitro"),Id=c(101,102,103,104,105),Designation=c("CEO","Project Manager","Senior Dev","Junior Dev...
Example 4: Subsetting Data with select Function (dplyr Package) Many people like to use thetidyverse environment instead of base R, when it comes to data manipulation. A very popular package of the tidyverse, which also provides functions for the selection of certain columns, is thedplyr packag...
Note: Scoped verbs have now essentially been superseded by accross() (soon to be available in dplyr 1.0.0). See http://www.rebeccabarter.com/blog/2020-07-09-across/ for details.I often find myself wishing that I could apply the same mutate function to several columns in a data frame ...
library(data.table) dt <- data.table(a = 1, b = 2, c = 3) # select single column by index dt[, 2] # b # 1: 2 # select multiple columns by index dt[, 2:3] # bc # 1: 2 3 # select single column by name dt[, "a"] # a # 1: 1 # select multiple columns by nam...