Rescaling row/column categories coordinates between a minimum and maximum value
This function allows to rescale the coordinates of a selected dimension to be constrained between a minimum and a maximum user-defined value.
rescale(data, x = 1, which = "rows", min.v = 0, max.v = 100)
data |
Name of the dataset (must be in dataframe format). |
x |
Dimension for which the row categories contribution is returned (1st dimension by default). |
which |
Speficy if rows ("rows", default) or columns ("cols") must be grouped. |
min.v |
Minimum value of the new scale (0 by default). |
max.v |
Maximum value of the new scale (100 by default). |
The rationale of the function is that users may wish to use the coordinates
on a given dimension to devise a scale, along the lines of what is
accomplished in:
Greenacre M 2002, "The Use of Correspondence Analysis in
the Exploration of Health Survey Data", Documentos de Trabajo 5, Fundacion
BBVA, pp. 7-39
The function returns a chart representing the row/column
categories against the rescaled coordinates from the selected dimension. A
dataframe is also returned containing the original values (i.e., the
coordinates) and the corresponding rescaled values.
data(greenacre_data) #rescale the row coordinates between 0 and 10 res <- rescale(greenacre_data, which="rows", min.v=0, max.v=10)
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