How to Compute Z-Score of Multiple Columns

In this post, we will learn how to compute Z-score of multiple variables (columns) at the same time using tidyverse in R using multiple approaches. First, we will show an example of computing Z-score of multiple columns, where all the columns in the dataframe is numeric and then we will show example where we have… Continue reading How to Compute Z-Score of Multiple Columns

How to drop unused level of factor variable in R

In this post, we will learn how to drop unused level or levels of a factor variable in R. Sometimes, we may end up with a factor variable with un used levels after some data munging. Unused factor levels can sometime create issues while analyzing the data. In this tutorial, we will show how to… Continue reading How to drop unused level of factor variable in R

How to compute Z-score

In this post, we will learn how to compute Z-score in R using two different approaches, first manually by using the z-score formula and then using scale() function available in base R. What is Z-score Z-score is a commonly used transformation technique to standardize/normalize a numerical variable. Transforming numerical variables into Z-scores enable us to… Continue reading How to compute Z-score

How to Compute Compound Interest with Tidyverse

In this post, we will learn how to calculate compound interest in R using tidyverse framework. Getting an intuition behind how compound interest can influence investing returns is wxtremely useful in personal final. On a high level, compounding interest refers to the process of earning interest not only on the the original investment amount (i.e.… Continue reading How to Compute Compound Interest with Tidyverse

dplyr rows_update(): Modify existing rows

In this post, we will learn how to use dplyr’s rows_update() function with examples. dplyr’s rows_update() function is a useful function to modify or update specific rows in a data frame based on a matching values in key column. It takes in two dataframes x and y, updates existing rows in the target data frame… Continue reading dplyr rows_update(): Modify existing rows

Exit mobile version