groupBycoord: Define groups of categories on the basis of a selected...

In CAinterprTools: Graphical Aid in Correspondence Analysis Interpretation and Significance Testings

Description

The function allows to group the row/column categories into k user-defined partitions.

Usage

groupBycoord(data, x = 1, k = 3, which = "rows", cex.labls = 0.75)

Arguments

data	Name of the dataset (must be in dataframe format).
x	Dimension whose coordinates are used to build the partitions.
k	Number of groups.
which	Speficy if rows ("rows"; default) or columns ("cols") must be grouped.
cex.labls	Set the size of the labels of the dot chart (0.75 by default).

Details

K groups are created employing the Jenks' natural break method applied on the selected dimension's coordinates. A dot chart is returned representing the categories grouped into the selected partitions. At the bottom of the chart, the Goodness of Fit statistic is also reported. The function also returns a dataframe storing the categories' coordinates on the selected dimension and the group each category belongs to.

See Also

caCluster

Examples

data(greenacre_data)

#divide the row categories into 3 groups on the basis of the coordinates
#of the 1st dimension, and store the result into a 'res' object
res <- groupBycoord(greenacre_data, x=1, k=3, which="rows")

CAinterprTools documentation built on July 8, 2020, 5:15 p.m.