Tidyverse

How to Modify Variables the Right Way in R

Learn to create or modify many variables at the same time applying any function with modern R tools like across and tidyselectors

Unlocking the Power of purrr: How to Create Multiple Lags Like a Pro in R

While R provides functions like lag, creating multiple lags can be challenging. In this blog post, we will explore how to use the unknown partial function to create multiple lags in R for Time Series Analysis

How to dynamically plot variables with ggplot using plotter functions

Write plotting functions and dynamically access variables from a dataframe passed as a string argument with tidy evaluation and ggplot

Analyzing data from COVID19 R package

Does reported deaths match actual deaths?

Calculating ratios with Tidyverse

Explaining summarise hidden behaviour

Preserving zero-length groups

Don't drop that

Drop columns based on NAs percentage in R

Showing up several ways

Tidylog

Logging your pipelines

Using summarise_at(). Weighted mean Tidyverse approach

Survey analysis using R

Conditional Pipes

Don't leave the pipeflow

Filtering a data frame by condition on multiple columns

The magic of filter_at(). Easily filtering a data frame by condition on multiple columns with R