NADA2 (version 1.1.8)

cenpermanova: Censored data one-factor permutation test

Description

Performs a permutation test of differences in means between groups of censored data.

Usage

cenpermanova(y1, y2, grp, R = 9999, printstat = TRUE)

Value

Permutation test results with the number of permutations, range in test statistics and p-value values through the various permutations. Group means are also listed.

Arguments

y1

The column of data values plus detection limits.

y2

The column of indicators, where 1 (or TRUE) indicates a detection limit in the y1 column, and 0 (or FALSE) indicates a detected value in y1.

grp

Grouping or factor variable. Can be either a text or numeric value indicating the group assignment.

R

The number of permutations used. Default is 9999.

printstat

Logical TRUE/FALSE option of whether to print the resulting statistics in the console window, or not. Default is TRUE.

Details

Because this is a permutation test it avoids the problem with MLE tests (see cenanova) that assume a normal distribution. No values are modeled as below zero and group means and p-values are trustworthy.

References

Good, P., 2000. Permutation Tests: A Practical Guide to Resampling Methods for Testing Hypotheses, 2nd ed, Springer Series in Statistics. Springer-Verlag, New York, NY. tools:::Rd_expr_doi("https://doi.org/10.1007/978-1-4757-3235-1")

Helsel, D.R., 2011. Statistics for Censored Environmental Data using Minitab and R, 2nd ed. John Wiley & Sons, USA, N.J.

Examples

data(PbHeron)
cenpermanova(PbHeron$Liver,PbHeron$LiverCen,PbHeron$DosageGroup)