Scatterplot visualization facility
This function allows to get different types of CA scatterplots. It is just a wrapper for functions from the 'ca' and 'FactoMineR' packages.
caScatter(data, x = 1, y = 2, type)
data |
Name of the contingency table (must be in dataframe format). |
x |
First dimension to be plotted (x=1 by default). |
y |
Second dimensions to be plotted (y=2 by default). |
type |
Type of scatterplot to be returned (see examples). |
data(greenacre_data) # symmetric scatterplot for rows and columns caScatter(greenacre_data, 1, 2, type=1) # Standard Biplot; 2 plots are returned: #one with row-categories vectors displayed, one for columns categories vectors. caScatter(greenacre_data, 1, 2, type=2) # scaterplot of row categories with groupings #shown by different colors; scatterplot for column categories is also returned caScatter(greenacre_data, 1, 2, type=3) # 3D scatterplot with cluster tree for row categories; #scatterplot for column categories is also returned. caScatter(greenacre_data, 1, 2, type=4)
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