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: R Tips
PCA on S&P 500 Stock Return Data
This post is a fun exercise applying PCA (most in tidyverse framework) to stock data from S&P 500 index companies. With PCA on stock data from S&P 500, we can possibly do many interesting things, but we will focus on really simple things and try to see if PCA captures the general company trends from… Continue reading PCA on S&P 500 Stock Return Data
Linear Regression with Matrix Decomposition Methods
Still remember the first time I learned we can perform linear regression using matrix decomposition techniques like QR decomposition. Totally mind blown. Clearly had no clue that was possible. This is a fun post on performing linear regression using QR decomposition, Cholesky decomposition and Singular Value Decomposition (SVD) using #rstats. No theory behind it, just… Continue reading Linear Regression with Matrix Decomposition Methods
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