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dplyr rowwise()

Compute rowwise mean and standard deviation

rstats101 · September 16, 2023 ·

In this post, we will learn how to compute row-wise summary statistics like mean and standard deviation using dplyr's row_wise() function. First, let us load tidyverse and verify the version of dplyr. Let us create a toy dataframe with five columns. We use sample() … [Read more...] about Compute rowwise mean and standard deviation

Filed Under: dplyr, dplyr rowwise(), rstats101 Tagged With: compute rowwise mean and sd

How to count number of missing values per row in a dataframe

rstats101 · October 13, 2022 ·

Count the number of missing values per row

In this tutorial, we will learn how to count the number missing values, NAs, in each row of a dataframe in R. We will see examples of counting NAs per row using four different approaches. For the first two solutions, we will use tidyverse function rowwise() from dplyr. The next … [Read more...] about How to count number of missing values per row in a dataframe

Filed Under: dplyr rowwise() Tagged With: count NAs per row

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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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