Category: R

How to Test for Multicollinearity in R, multicollinearity is a common problem in statistical analyses where two or more predictor variables in a regression model are highly correlated. This can lead to inaccurate results,...

Sort Data in R With Examples, R is a powerful tool for data analysis and manipulation. Sorting data in R is a common task that involves arranging data in ascending or descending order based...

KPSS Test in R, the KPSS test (Kwiatkowski-Phillips-Schmidt-Shin) is a statistical test used to determine whether a time series has a unit root or not. A unit root indicates that the time series is...

Wald Test in R With Examples, A Wald test is a statistical test that compares the fit of two models, one nested within the other. The test involves estimating the difference between the two...

Anderson-Darling Test in R, the Anderson-Darling Test is a statistical test used to determine whether a given dataset is drawn from a particular distribution, such as the normal distribution. In this article, we will...

Jarque-Bera Test in R, the Jarque-Bera test is a statistical test used to determine whether a given dataset is distributed normally or not. It tests whether the skewness and kurtosis of the dataset are...

Fisher’s exact test in R, Fisher’s exact test is a statistical test used to analyze the relationship between two categorical variables. It is used when the sample size is small and the expected counts...

R ggplot2 error insufficient values manual scale, when working with scale transformations in R, one of the common errors that users encounter is “Error: Insufficient values in manual scale. X needed but only Y...

One proportion Z Test in R, One proportion Z-Test is a statistical test that is used to determine whether the difference between observed and expected frequencies for a categorical variable is significant or due...

geom_point requires the following missing aesthetics, Data visualization is an essential component of modern data analysis. It involves creating graphical representations of numeric or categorical data to easily interpret and understand the patterns, trends,...