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tidyverse 101

How To Categorize Multiple Numerical Columns in R

April 2, 2021 by cmdlinetips

Categorize columns with across()

Recently I had to convert a numerical matrix into categorical ones based on some conditions. Obviously there are multiple ways to go about. One of the key functions to categorize a numerical vector in R is to use cut() function, that allows to specify the intervals to categorize a numerical variable. Till now I was […]

Filed Under: Categorize multiple columns R, dplyr across(), R, R Tips, tidyverse 101 Tagged With: R, tidyverse 101

7 Tips to Add Columns to a DataFrame with add_column() in tidyverse

March 12, 2021 by cmdlinetips

Often while doing data analysis, one might create a new column or multiple columns to an existing data frame. In this post we will learn how to add one or more columns to a dataframe in R. tibble package in tidyverse, has a lesser known, but powerful function add_column(). We will learn 6 tips to […]

Filed Under: R, R Tips, tidyverse 101 Tagged With: R, tidyverse 101

tidyr’s pivot_longer(): Reshape Wide Data to Long/Tidy Data

November 22, 2020 by cmdlinetips

pivot_longer(): tidyr

One of the most common activities while doing data analysis is to reshape data from one form to another. For human eyes and data collection, often it is easier to work with data in wider form. However, for analyzing data it is more convenient to have the data in tidy/long form in most circumstances. tidyr, […]

Filed Under: R, tidyverse 101 Tagged With: pivot_longer wide to long, R, tidyverse 101

How to Compute Summary Statistics Across Multiple Columns in R

October 9, 2020 by cmdlinetips

dplyr’s groupby() function lets you group a dataframe by one or more variables and compute summary statistics on the other variables in a dataframe using summarize function. Sometimes you might want to compute some summary statistics like mean/median or some other thing on multiple columns. Naive approach is to compute summary statistics by manually doing […]

Filed Under: dplyr across(), tidyverse 101 Tagged With: dplyr across(), R, tidyverse 101

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