Category: R

Scalar product, sometimes known as the dot product, is an algebraic operation that returns a single integer from two numbers of equal length. Let’s say we have two vectors x and y and we...

R transform() function is used to manipulate data. The first variable is converted to a data frame. This function is used to quickly and easily transform or modify the data frame. R transform Syntax:...

How to Calculate Cramer’s V in R, Cramer’s V is a statistic that ranges from 0 to 1 and is used to assess the strength of the relationship between two nominal variables. Closer values...

Standardization in statistics, when a dataset is standardized, all of the variables are scaled so that the mean is 0 and the standard deviation is 1. Standardization in Statistics In a data frame, there...

Time series trend analysis, The Mann-Kendall Pattern Test is used to detect whether or not time series data has a trend. It’s a non-parametric test, which means there’s no underlying assumption about the data’s...

How to calculate Scheffes Test in R, A one-way ANOVA is used to check if there is a statistically significant difference between the means of three or more independent groups. If the aggregate p-value...

A lack of fit test is used to determine whether a full regression model fits a dataset significantly better than a reduced version of the model.

Consider the following regression model, which has four predictor variables.

Y = β0 + β1×1 + β2×2 + β3×3 + β4×4 + ε
A nested model is demonstrated by the following model, which contains only two of the original predictor variables.

Y = β0 + β1×1 + β2×2 + ε
We can use a Lack of Fit Test with the following null and alternative hypotheses to see if these two models differ significantly.
To read more click below link.

Likelihood Ratio Test in R, The likelihood-ratio test in statistics compares the goodness of fit of two nested regression models based on the ratio of their likelihoods, specifically one obtained by maximization over the...

Calculate White’s Test in R, The White test is a statistical test that determines whether the variance of errors in a regression model is constant, indicating homoscedasticity. Halbert White proposed this test, as well...

Application of Bayes Theorem, Bayes’ theorem describes the likelihood of an event occurring in relation to any condition. It is also considered in the case of conditional probability. Subscribe The Bayes theorem is sometimes...