Jaccard Similarity in R, The Jaccard similarity index compares two sets of data to see how similar they are. It might be anywhere between 0 and 1. The greater the number, the closer the two sets of data are. Subscribe The Jaccard Index is a stat...

The Chow test is used to compare the coefficients of two distinct regression models on two separate datasets. This test is commonly used in econometrics using time series data to evaluate if the data has a structural break at some point. Correla...

Rolling Correlation in R, Correlations between two-time series on a rolling window are known as rolling correlations. Correlations in time series are extremely valuable since they may be used to model and forecast if a relationship exists. But ther...

Anderson-Darling Test in R, The Anderson-Darling Test is a goodness-of-fit test that determines how well your data fits a given distribution. This test is most typically used to see if your data follow a normal distribution or not. This sort of...

Granger-Causality Test in R, The Granger Causality test is used to examine if one time series may be used to forecast another. Subscribe to the Channel for video tutorials Null Hypothesis (H0): Time series X does not cause time series Y to Gr...

String Manipulation in R, In this article, we’ll show you how to manipulate strings in the R programming language using many methods. To begin, we’ll read text from a file into the computer to demonstrate the string operations. data&...

Plot Observed and Predicted values in R, In order to visualize the discrepancies between the predicted and actual values, you may want to plot the predicted values of a regression model in R. This tutorial demonstrates how to make this style of the...

error: No CurrentVersion entry in Software/JavaSoft registry!. When receiving the following problem while trying to install package xlxs in R. Error: package or namespace load failed for ‘xlsx’: .onLoad failed in loadNamespace() for 'rJava', detail...

What’s Neural Network?. A neural network is a biologically inspired method for computers to learn through analyzing data. When does a neural network become a deep neural network? Here’s a neural network, and it’s not particu...

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 goa...

Regression in R, 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 » Let’s go over our ...

Statistical Analysis in Business, Businesses cannot survive without consumer spending. Statistical analysis can help businesses identify trends among consumers so they can better meet their needs. It is no secret that statistical analysis is integ...

Model Selection in R, Let’s look at a linear regression model using mtcars dataset. Visit finnstats.com for up-to-date and accurate lessons. First, we need to brush up on our knowledge by looking at the mtcars dataset. head(mtcars) M...

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. Visit finnstats.com for up-to-date and accurate lessons...

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 analyze the findings of an ANOVA f-test. L...

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 we discussed in the previous post. We want to...

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, 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 a variety of persons, and it is kept in a variet...

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. We&#82...

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 a pre-processing proce...