DataStats

How to Find the Size of a Data Frame in R, we will explore how to find the size of a data frame in R. A data frame is a fundamental data structure in...

Filter a Vector in R is a fundamental skill that can be applied to a wide range of data analysis tasks. In this article, we’ll explore four different methods for filtering a vector in...

Split a Vector into Chunks in R can be a useful technique for manipulating and analyzing data. In this article, we’ll explore how to use the split() function in R to split a vector...

Mastering the table() Function in R, The table() function in R is a powerful tool for creating frequency tables, allowing you to quickly summarize the distribution of variables in your data. In this article,...

Mastering the tapply() Function in R, The tapply() function in R is a powerful tool for applying a function to a vector, grouped by another vector. In this article, we’ll delve into the basics...

Mastering the map() Function in R, available in the purrr package, is a powerful tool in R that enables you to apply a function to each element in a vector or list and return...

Convert a continuous variable to a categorical in R, it’s often necessary to convert it to categorical data for further analysis or visualization. One effective way to do so is by using the discretize()...

Using describeBy() in R, When working with data in R, it’s often necessary to calculate descriptive statistics for each column in a data frame, grouped by a particular column. This can be a tedious...

Calculating Autocorrelation in R, Autocorrelation is a statistical technique used to measure the degree of similarity between a time series and a lagged version of itself over successive time intervals. It is also called...