In this post, we will see 10 tips to annotate a plot with a title and to customize title text of a plot made with ggplot2. We will start with how to add title to a plot made with ggplot2 using two functions ggtitle() and labs(). And then we will learn how to use ggplot2’s… Continue reading 10 Tips to customize ggplot2 title text
Category: tidyverse 101
PCA in tidyverse framework
Performing PCA in tidyverse framework is probably one of my go to approaches for any high-dimensional data. In R, we can easily perform Principal Component analysis (PCA) using prcomp() and a few other options. A common challenge I face is to quickly look at the PCA results using a few different plots. With continual development… Continue reading PCA in tidyverse framework
How to make a Calender in R with ggplot2
In this post, we will see how to make a calendar from scratch using R in ggplot2. I have been wanting to do this for a while. There is no better time to do this as we are at the end of the year 2022. The goal is to make a simple calender for the… Continue reading How to make a Calender in R with ggplot2
14 Tips to Work with Dates in tidyverse
In this quick post we will see 14 simple tips that will help get started dealing with date as variable instead of a string. We will see tips on how to create a date variable in few different ways and get components of date variable using the R package lubdridate. The R package lubdridate was… Continue reading 14 Tips to Work with Dates in tidyverse
6 Tips to change column positions with dplyr’s relocate()
Sometimes you want to change the order of columns in a dataframe. dpyr’s relocate() function makes it easy to move one or more columns to new positions easily by using the same syntax as select() function. In this post we will see 7 tips to change column order or column position using dplyr’s relocate(). Let… Continue reading 6 Tips to change column positions with dplyr’s relocate()