gcat.test: Graph-based two-sample tests for categorical data

In gCat: Graph-based two-sample tests for categorical data

Description

This function performs the two-sample tests for categorical data utilizing similarity information among the categories. You can either provide a distance matrix on the categories (through the "distmatrix" argument) or a similarity graph on the categories directly (through the "C0" argument) or both. The outputs of this function are the test statistic(s) and p-value(s).

Usage

gcat.test(counts, distmatrix=NULL, C0=NULL, method="C-uMST", Nperm=0)

Arguments

counts	It is a K by 2 matrix, where K is the number of categories. It specifies the counts in the K categories for the two samples.
distmatrix	A K by K matrix, which is the distance matrix on the categories. This needs to be specified if you include any of the four methods – "aMST", "uMST", "C-uMST" and "C-uNNB" – in the "method" argument.
C0	A similarity graph on the categories. It is a E by 2 matrix, where E is the number of edges in the graph. Each row in C0 corresponds to an edge in the graph, and the two numbers are the category indices connected by the edge. This needs to be specified if you include "RC0" or "TC0" in the "method" argument.
method	This argument specifies the test statistic(s) to be computed. It can be any combination of {"aMST", "C-uMST", "uMST", "C-uNNB", "RC0", "TC0"}. If you choose more than one method, use c(,) to combine them. For example: c("C-uMST", "uMST", "RC0"). The details of the statistics can be found in the paper: Chen, H. and Zhang, N.R. (2013) Graph-based tests for two-sample comparisons of categorical data. Statistica Sinica, 23, 1479-1503.
Nperm	Number of permutations in calculating the permutation p-value. This needs to be specified if the method is "aMST". For other methods, specifying this argument would provide in the result the permutation p-value in addition to the approximate p-value, which is calculated through asymptotic theories.

Examples

data(Example)
gcat.test(mycounts,mydist,myedge,method=c("aMST","C-uMST","uMST","C-uNNB","RC0","TC0"),Nperm=1000)
gcat.test(mycounts,mydist,method=c("C-uMST","uMST"))
gcat.test(mycounts,mydist)
gcat.test(mycounts,myedge,method="RC0")

Example output

$aMST
       R_aMST pval.perm
[1,] 26.37946     0.807

$CuMST
     R_C-uMST pval.appr pval.perm
[1,] 28.81333 0.8010876     0.785

$uMST
     R_uMST pval.appr pval.perm
[1,]    299 0.2984058      0.24

$CuNNB
     R_C-uNNB pval.appr pval.perm
[1,] 28.81333 0.8010876     0.785

$RC0
          RC0 pval.appr pval.perm
[1,] 28.81333 0.8010876     0.785

$TC0
     TC0 pval.appr pval.perm
[1,] 299 0.2984058      0.24

$CuMST
     R_C-uMST pval.appr
[1,] 28.81333 0.8010876

$uMST
     R_uMST pval.appr
[1,]    299 0.2984058

$CuMST
     R_C-uMST pval.appr
[1,] 28.81333 0.8010876

You need to specify the edge information for calcuating RC0 or TC0.
[1] 0

gCat documentation built on May 1, 2019, 10:25 p.m.