SPARTAAS (version 1.0.0)

CAdist: Distance matrix based on correspondence analysis results

Description

Run an Correspondences analysis on a contingence table then return the matrix distance 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 plot the Correspondences Analysis (axis1, axis2)

Value

dist

The distance matrix

Examples

# NOT RUN {
##---- Should be DIRECTLY executable !! ----
##-- ==>  Define data, use random,
##--	or do  help(data=index)  for the standard data sets.
library(SPARTAAS)

## contingency table
cont <- data.frame(
  Cat10 = c(1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0),
  Cat20 = c(4,8,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0),
  Cat30 = c(18,24,986,254,55,181,43,140,154,177,66,1,24,15,0,31,37),
  Cat40.50 = c(17,121,874,248,88,413,91,212,272,507,187,40,332,174,17,288,224),
  Cat60 = c(0,0,1,0,0,4,4,3,0,3,0,0,0,0,0,0,0),
  Cat70 = c(3,1,69,54,10,72,7,33,74,36,16,4,40,5,0,17,13),
  Cat80 = c(4,0,10,0,12,38,2,11,38,26,25,1,18,4,0,25,7),
  Cat100.101 = c(23,4,26,51,31,111,36,47,123,231,106,21,128,77,10,151,114),
  Cat102 = c(0,1,2,2,4,4,13,14,6,6,0,0,12,5,1,17,64),
  Cat110.111.113 = c(0,0,22,1,17,21,12,20,30,82,15,22,94,78,18,108,8),
  Cat120.121 = c(0,0,0,0,0,0,0,0,0,0,66,0,58,9,0,116,184),
  Cat122 = c(0,0,0,0,0,0,0,0,0,0,14,0,34,5,0,134,281),
  row.names = c("AI01","AI02","AI03","AI04","AO03","AI05","AO01","AI07","AI08",
  "AO02","AI06","AO04","APQR01","APQR02","AO05","APQR03","AI09")
)

distance <- CAdist(cont, nPC = "max")
distance

## run without printing the plot
distance <- CAdist(cont, nPC = "max", graph=FALSE)
# }