How To Use the predict() Function in R Programming
Learn how to use R’s predict() function to make predictions from models. Step-by-step guide with examples for linear, logistic, and other model types.
R with() and within() function – All you need to know!
URL: https://www.progressiverobot.com/with-and-within-function-in-r/ Hello, readers! In this article, we will be having a look at two closely related yet different functions of R programming – R with() and within() function, in detail. So, let us being!! 🙂 1. R with() function We often come across situations wherein we feel the need to build customized/user-defined functions to […]
Quantile() function in R – A brief guide
URL: https://www.progressiverobot.com/quantile-function-in-r/ You can generate the sample quantiles using the quantile() function in R. Hello people, today we will be looking at how to find the quantiles of the values using the quantile() function. Quantile: In laymen terms, a quantile is nothing but a sample that is divided into equal groups or sizes. Due to […]
Confusion Matrix in R | A Complete Guide
A confusion matrix in R is a table that will categorize the predictions against the actual values. It includes two dimensions, among them one will indicate the predicted values and another one will represent the actual values. _Each row in the confusion matrix will represent the predicted values and columns will be responsible for actual […]
R melt() and cast() functions – Reshaping the data in R
URL: https://www.progressiverobot.com/r-melt-and-cast-function/ Hello, readers! In this article, we would be having a look at an important concept of R programming – Reshaping data using R melt() and cast() functions, in detail. The R melt() and cast() functions help us to reshape the data within a data frame into any customized shape. Working with the R […]
Covariance and Correlation in R programming
Hello readers! In this article, we would be focusing on two important parameters of statistics — Covariance and Correlation in R programming, in detail. So, let us begin!! Covariance in R programming In Statistics, Covariance is the measure of the relation between two variables of a dataset. That is, it depicts the way two variables […]
Reading the CSV file into Data frames in R
URL: https://www.progressiverobot.com/r-read-csv-file-into-data-frame/ With the help of specific functions offered by R, reading the CSV files into data frames is much easier. What is a CSV file? CSV is expanded as Comma, Separated, Values. In this file, the values stored are separated by a comma. This process of storing the data is much easier. Why CSV […]
Fill Missing Values In R using Tidyr, Fill Function
Missing data or values occurs when the data record is absent in the variable. This will cause serious issues in the data modeling process if not treated properly. Above all, most of the algorithms are not comfortable with missing data. There are many ways to handle missing data in R. You can drop those records. But, […]
R Squared in R – How to Calculate R2 in R?
URL: https://www.progressiverobot.com/r-squared-in-r-programming/ Hello, readers! In this article, we would be walking through an important concept in Machine Learning – R squared (R2) in R programming. So, let us begin!! Importance of R squared error metric Let us first understand the importance of error metrics in the domain of Data Science and Machine Learning!! Error metrics […]
How to Find Standard Deviation in R?
Learn how to find standard deviation in R with sd(). Covers sample vs population SD, dplyr group stats, and examples. Try the code now.
