# Tag Archives: R-Statistics

## Permutation Hypothesis Test in R Programming

In simple words, the permutation hypothesis test in R is a way of comparing a numerical value of 2 groups. The permutation Hypothesis test is… Read More »

## Distance Matrix by GPU in R Programming

Distance measurement is a vital tool in statistical analysis. It quantifies dissimilarity between sample data for numerical computation. One of the popular choices of distance… Read More »

## Completely Randomized Design with R Programming

Experimental Designs are part of ANOVA in statistics. They are predefined algorithms that help us in analyzing the differences among group means in an experimental… Read More »

## Correlation Matrix in R Programming

Correlation refers to the relationship between two variables. It refers to the degree of linear correlation between any two random variables. This relation can be… Read More »

## Randomized Block Design with R Programming

Experimental Designs are part of ANOVA in statistics. They are predefined algorithms that help us in analyzing the differences among group means in an experimental… Read More »

## Visualize Correlation Matrix using symnum function in R Programming

Correlation refers to the relationship between two variables. It refers to the degree of linear correlation between any two random variables. This relation can be… Read More »

## Visualize correlation matrix using correlogram in R Programming

A graph of the correlation matrix is known as Correlogram. This is generally used to highlight the variables in a data set or data table… Read More »

## MANOVA Test in R Programming

Multivariate analysis of variance (MANOVA) is simply an ANOVA (Analysis of variance) with several dependent variables. It is a continuation of the ANOVA. In an… Read More »

## Bartlett’s Test in R Programming

In statistics, Bartlett’s test is used to test if k samples are from populations with equal variances. Equal variances across populations are called homoscedasticity or… Read More »

## Calculate the Average, Variance and Standard Deviation in R Programming

R Language is an open-source programming language that is widely used as a statistical software and data analysis tool. R generally comes with the Command-line… Read More »

## Tree Entropy in R Programming

Entropy in R Programming is said to be a measure of the contaminant or ambiguity existing in the data. It is a deciding constituent while… Read More »

## Exponential Smoothing in R Programming

The Exponential Smoothing is a technique for smoothing data of time series using an exponential window function. It is a rule of the thumb method.… Read More »

## Moore – Penrose Pseudoinverse in R Programming

The concept used to generalize the solution of a linear equation is known as Moore – Penrose Pseudoinverse of a matrix. Moore – Penrose inverse… Read More »

## Exploratory Data Analysis in R Programming

Exploratory Data Analysis or EDA is a statistical approach or technique for analyzing data sets in order to summarize their important and main characteristics generally… Read More »

## R – Stem and Leaf Plots

Stem and Leaf plot is a technique of displaying the frequencies with which some classes of values may occur. It is basically a method of… Read More »