Description Usage Arguments Details Value References See Also Examples
View source: R/heterogeneity.R
Across given contingency tables, the test admits any type of differences in either the joint or marginal distributions of the tables.
1 | heterogeneity.test(tables)
|
tables |
a list of at least two non-negative matrices or data frames representing contingency tables of the same dimensions. |
The heterogeneity test determines whether the patterns underlying multiple contingency tables are heterogeneous or differential. The chi-squared distribution is used for the null distribution of its test statistic (Zar, 2010).
A list with class "htest
" containing the following components:
statistic |
heterogeneity test statistic. |
parameter |
degrees of freedom of used for the null distribution of the heterogeneity test statistic. |
p.value |
p-value of the heterogeneity test, computed using the chi-squared distribution. |
Zar, J. H. (2010) Biostatistical Analysis, 5th Ed., New Jersey: Prentice Hall.
The comparative chi-squared test cp.chisq.test
.
The Sharma-Song test sharma.song.test
.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 | # Two second-order differential tables:
tables <- list(
matrix(c(4,0,0,
0,4,0,
0,0,4), nrow=3),
matrix(c(0,4,4,
4,0,4,
4,4,0), nrow=3)
)
heterogeneity.test(tables)
# Three tables differ in the first-order but not second-order:
tables <- list(
matrix(c(2, 4, 6, 8,
3, 6, 9, 12,
4, 8, 12, 16), nrow=4),
matrix(c( 2, 1, 3, 7,
2, 1, 3, 7,
10, 5, 15, 35), nrow=4),
matrix(c(40, 16, 72, 16,
45, 18, 81, 18,
25, 10, 45, 10), nrow=4)
)
heterogeneity.test(tables)
|
sh: 1: cannot create /dev/null: Permission denied
Loading required package: pander
sh: 1: cannot create /dev/null: Permission denied
Heterogeneity Test for Pattern Difference
data: tables
X-squared = 36, df = 4, p-value = 2.894e-07
Heterogeneity Test for Pattern Difference
data: tables
X-squared = 13.977, df = 12, p-value = 0.3022
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