1-Introduction | The WAASB and WAASBY objects | 2- How to apply the package | Applying the rYWAASB package. Ranking table: | Drawing the first plot bar_plot1: | Drawing the second plot bar_plot2: | Performing PCA and textual and graphical representations (scree plot and PCA-dependent biplots (3 plots)) | Designing the cluster analysis on data and define the optimum number of clusters uning The Average Silhouette Method. The details of this method is given in the description and details parts of the function nbclust(). For running the cluster analysis by menas of shipunov package (courtesy of late professor Alexy Shipunov) act as: | References

1-Introduction | 2- The Path coefficient model | One dependent variable: | Extension to more dependent variables: | 2-1- Simple path coefficient analysis | 2-1-1- worked example 1: | 2-1-2- worked example 2: | 2-2- Sequential path coefficient analysis | 2-2-1- worked example: | Attractive heatmaps | References