CAdist {SPARTAAS} | R Documentation |
Distance matrix based on correspondence analysis results
Description
Perform a correspondence analysis on a contingency table and then return the distance matrix of the coordinates (you can choose the number of axes to use to build the distance matrix with the nCP parameter).
Usage
CAdist(df, nPC = NULL, graph = TRUE)
Arguments
df |
Data.frame, matrix or table with the data for the correspondence analysis. |
nPC |
Number of principal components to be retained for the construction of the distance matrix. Must be between 1 and the minimum of ncol - 1 and nrow - 1. Could also be "max". |
graph |
Logical parameter for plotting the Correspondence Analysis (Axis1, Axis2). |
Value
D |
The distance matrix |
Author(s)
A. COULON
L. BELLANGER
P. HUSI
Examples
##---- Should be DIRECTLY executable !! ----
##-- ==> Define data, use random,
##-- or do help(data=index) for the standard data sets.
library(SPARTAAS)
data(datangkor)
## contingency table
cont <- datangkor$contingency
distance <- CAdist(cont, nPC = "max")
distance
## run without printing the plot
distance <- CAdist(cont, nPC = "max", graph=FALSE)
[Package SPARTAAS version 1.2.4 Index]