Performs a parametric test of differences in means between groups of censored data, followed by a parametric Tukey's multiple comparison test.
cenanova(x1, x2, group, LOG = TRUE, printstat = TRUE)
The column of data values plus detection limits
The column of indicators, where 1 (or
Grouping or factor variable. Can be either a text or numeric value indicating the group assignment.
Indicator of whether to compute tests in the original units, or on their logarithms. The default is to use the logarithms (
Returns the Maximum Likelihood Estimation (MLE) comparison results including Chi-Squared value, degrees of freedom and
p-value of the test. Test assumes log-normal(
LOG=TRUE) or normal(
LOG=FALSE) distribution of residuals from group means.
Tukey's multiple comparison p-values of pairwise differences in group means are also printed.
Group Names of groups (NOTE:
== 0 indicates null hypothesis of "equals zero").
Estimate Estimated difference between group means.
Std. Error Standard error of estimate.
z value Test statistic.
Pr(>|z|) P-values for test that difference in means equals zero.
Test is computed using Maximum Likelihood Estimation. When a gaussian distribution model is used (LOG=FALSE) modeled values may fall below zero, producing unreal p-values (often lower than they should be). Because of this, testing in log units is preferable and is the default.
Helsel, D.R., 2011. Statistics for Censored Environmental Data using Minitab and R, 2nd ed. John Wiley & Sons, USA, N.J.
#' @examples data(PbHeron) cenanova(PbHeron$Liver,PbHeron$LiverCen,PbHeron$DosageGroup)