R Programming

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 […]

URL: https://www.progressiverobot.com/unique-function-r-programming/ The unique() function in R is used to eliminate or delete the duplicate values or the rows present in the vector, [data frame](/community/tutorials/data-frames-in-r-programming), or [matrix](/community/tutorials/matrix-operations-in-r) as well. The unique() function found its importance in the EDA (Exploratory Data Analysis) as it directly identifies and eliminates the duplicate values in the data. In this […]

URL: https://www.progressiverobot.com/sum-in-r/ Let's learn how to find the sum of the values with the help of the sum() in R. In this tutorial, we will try to find the sum of the elements of the vector. The syntax of the sum() function is = sum(x,na.rm=FALSE/TRUE) [Vector](/community/tutorials/vectors-in-r) is the easiest method to store multiple elements in […]

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, […]

URL: https://www.progressiverobot.com/sample-in-r/ Let's understand one of the frequently used functions, sample() in R. In data analysis, taking samples of the data is the most common process done by the analysts. To study and understand the data, sometimes taking a sample is the best way and it is mostly true in case of big data. R […]

generating a sequence in R

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 […]

URL: https://www.progressiverobot.com/outlier-analysis-in-r/ Hello, readers! In this article, we will be focusing on Outlier Analysis in R programming, in detail. So, let us begin!! What are outliers in data? Before diving deep into the concept of outliers, let us focus on the pre-processing of data values. In the domain of data science and machine learning, pre-processing […]

URL: https://www.progressiverobot.com/normalize-data-in-r/ Hello, readers! In this article, we will be having a look at 3 Easy Ways to Normalize data in R programming. So, let us begin!! 🙂 What is Normalization? Feature Scaling is an essential step prior to modeling while solving prediction problems in Data Science. Machine Learning algorithms work well with the data […]