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Learn R Programming Tips & Tricks for Statistics and Data Science

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dplyr across()

How to apply a function on multiple columns using across()

rstats101 · September 9, 2023 ·

In this post, we will learn how to compute one or multiple functions on multiple columns using dplyr's across() function. dplyr's across() function can be used with summarize() or mutate() functions to operate on columns. In this example we will use summarize() function to … [Read more...] about How to apply a function on multiple columns using across()

Filed Under: dplyr, dplyr across(), rstats101 Tagged With: apply a function on multiple columns, dplyr across() with summarize

dplyr across(): Compute column-wise mean

rstats101 · October 29, 2022 ·

In this tutorial, we will learn how to use dplyr's across() function to compute means of all columns in a dataframe. In R, we can use many approaches to compute column means. Here we will use tidyverse approach using dplyr's across() function to compute column wise means. We … [Read more...] about dplyr across(): Compute column-wise mean

Filed Under: dplyr, dplyr across() Tagged With: column-wise mean, dplyr across() column-wise

How to Randomly Replace Values of Numerical Columns in a dataframe to NAs

rstats101 · August 16, 2022 ·

In this tutorial, we will learn how to randomly replace values of numerical columns in a dataframe to NAs or missing values. We will use dplyr's across() function to select only the numerical columns from a dataframe and probabilistically select certain percent of elements to … [Read more...] about How to Randomly Replace Values of Numerical Columns in a dataframe to NAs

Filed Under: dplyr across(), NAs in R Tagged With: randomly replace values to NAs

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%in% arrange() as.data.frame as_tibble built-in data R colSums() R cor() in R data.frame dplyr dplyr across() dplyr group_by() dplyr rename() dplyr rowwise() dplyr row_number() dplyr select() dplyr slice_max() dplyr slice_sample() drop_na R duplicated() gsub head() impute with mean values is.element() linear regression matrix() function na.omit R NAs in R near() R openxlsx pivot_longer() prod() R.version replace NA replace NAs tidyverse R Function rstats rstats101 R version scale() sessionInfo() t.test() tidyr tidyselect tidyverse write.xlsx

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