Multiple Correspondence Analysis

Multiple Correspondence Analysis (MCA) is a method to analyze qualitative data and it is an extension of Correspondence analysis (CA). MCA can be used to detect patterns or structure in the data as well as in dimension reduction.

Do multiple correspondence analysis with the function MCA(). Give tea_time as the functions first argument. Note that the MCA() function visualizes the analysis by default, and the plots can be turned off with the argument graph = FALSE.
Look at the summary of the model.
Plot the variables of the model. You can either plot the variables or the individuals or both. You can change which one to plot with the invisible argument.
Adjust the code: add argument habillage = "quali" (how french!) to the plot. Do you notice what changes?

Exercise

Multiple Correspondence Analysis

Instructions

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Instructions

Exercise