Category: R

Homoscedasticity in Regression Analysis, The Goldfeld–Quandt test checks for homoscedasticity in regression studies in statistics. This is accomplished by separating a dataset into two portions or groups, which is why the test is also...

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...

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...

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...

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...

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...

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...

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’,...

what is neural network in machine learning?. A neural network is a biologically inspired method for computers to learn through analyzing data. what is neural network in machine learning & when does a neural...

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...