Brief introduction.md

In usplos/YawMMF: Effective functions for Generalized Mixed Model

This package offers convenient and effective functions for mixed model.

• EffectSize() : to calculate the effect size for mixed model;

• MixedModelDataExplore() : to explore the dependent vairable (usually a continuous variable)

• MixedModelDataSummary() : to summarise your data. (This function is still maturing)

• MixedModelDummy() : to generate dummy variables for factor variables.

• MixedModelDiag() : to offer advice so as to optimize your model.

• MixedModelPower() : to perform the power analysis.

• MixedModelPlot() : to draw bar plot, interaction line plot, violin plus box plot, violin plus rawdata plot.

• MixedModelWrite() : to write the fixed effects of the given model or the descriptive inforamtion of the given dependent variable into yourdisk (only works only works for one model at one time)

• MixedModelWrite2(): to write the fixed effects of the given model or the descriptive inforamtion of the given dependent variable into yourdisk (works for multiple models at one time)

• CorrPlot() : to draw correlation-matrix plot for multiple-variable correlations

• contr.simple() : to set the contrast matrix of factor variables as simple contrast.

usplos/YawMMF documentation built on July 12, 2024, 1:35 a.m.