dplyr n_distinct(): count unique elements or rows

In this post, we will learn how to use dplyr’s n_distinct() function to count the number of unique or distinct values in one or more vectors or columns of a dataframe. dplyr’s n_distinct() is very useful when you are working with a dataframe and need to know how many unique or distinct values or combinatons… Continue reading dplyr n_distinct(): count unique elements or rows

How to perform multiple t-tests using tidyverse

In this tutorial, we will learn how to perform multiple t-tests to determine if there is any difference in mean using tidyverse framework. With tidyverse framework, we will use tidyverse packages/functions instead of looping through using a for loop. Let us load the packages needed. We have tow examples of using tidyverse to perform multiple… Continue reading How to perform multiple t-tests using tidyverse

How to select top and bottom rows by a column simultaneously

In this tutorial, we will learn how to select top and bottom rows of a dataframe based on the values of a column with tidyverse in R. Here we will see a specific approach to get top and bottom rows when the values of the column of interest has both positive and negative values. This… Continue reading How to select top and bottom rows by a column simultaneously

How to Compute Pearson Correlation of Multiple Variables

In this tutorial, we will learn how to compute Pearson correlation of multiple variables. We will use two approaches to compute Pearson correlation of multiple variables in a matrix or dataframe. First we will show how to use cor() function in R to compute Pearson correlation of all variables against all variables. Then we will… Continue reading How to Compute Pearson Correlation of Multiple Variables

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