Category: Methods

Cross Validation in R 0

Cross Validation in R with Example

What Does Cross-Validation Mean? Cross-validation is a statistical approach for determining how well the results of a statistical investigation generalize to a different data set. Cross-validation is commonly employed in situations where the goal...

Regression Analysis Example 0

Regression Analysis Example-Ultimate Guide

Regression Analysis Example, In a recent article, we discussed model fitting and selection. However, we haven’t considered how we’ll choose which variables to include in our model. Simple Linear Regression in r » Guide...

Model Selection in R 0

Model Selection in R (AIC Vs BIC)

Model Selection in R, Let’s look at a linear regression model using mtcars dataset. First, we need to brush up on our knowledge by looking at the mtcars dataset. head(mtcars) M mpg cyl disp...

Simple linear regression in R 0

Simple Linear Regression in r

Simple linear regression in r, we want to create models to investigate and forecast the relationship between variables, and the most basic relationship that we can think of is a straight line. Let’s take...

Analysis of Variance in R 0

Analysis of Variance in R: 3 Steps

Analysis of Variance in R, You will be able to identify reasons for employing an Analysis of Variance (or ANOVA) test in your data analysis after completing this tutorial. You’ll also learn how to...

grouping data in r 0

Grouping Data in R- Tidyverse Approach

Grouping Data in R, You’ll learn the fundamentals of grouping and how to utilize it to transform and visualize a dataset in this tutorial. Think about the flight delays in the airline dataset that...

Descriptive Statistics in R 0

Descriptive Statistics in R

Descriptive Statistics in R, You’ll learn about descriptive statistics in this tutorial, which is one strategy you might employ in exploratory data analysis. Before you invest time constructing intricate models, it’s necessary to first...

Data Format in R 2

How to do Data Format in R

Data Format in R, You’ll learn about data formats and why reformatting data can help you enhance your data analysis in this tutorial. Data is typically acquired from a variety of sources and by...

Convert Categorical Variable to Numeric in R 1

Convert Categorical Variable to Numeric in R

Convert Categorical Variable to Numeric in R, In this tutorial, you’ll learn how to convert categorical values into quantitative values to make statistical modeling easier. Most statistical models can’t take in strings as inputs....

Binning in R 2

How to do Binning in R?

Binning in R, you will learn about data binning in this tutorial. Binning develops distinct categories from numerical data that are frequently continuous. It’s very handy for comparing different sets of data. Binning is...

error

Subscribe Now