Allows for easier reading of long treatment labels. Rotate the text output as Treatments within the plot.
Default is 0.1 (10%) of the difference between upper and lower error bars above the top error bar. Height of the text labels above the upper error bar on the plot.
This is maintained for backwards compatibility, but the preferred method now is to use autoplot(). If TRUE, largest will be first, through to smallest last.Īutomatically produce a plot of the output of the multiple comparison test? Default is FALSE. Order of the output sorted by the predicted value. See Details for more information.Ĭontrols rounding of decimal places in output. Numeric power applied to response variable with power transformation. Use 0 if no offset was applied to the transformed data. Numeric offset applied to response variable prior to transformation. One of log, sqrt, logit, power or inverse. Transformation that was applied to the response variable. The type of confidence interval to calculate. The significance level, numeric between 0 and 1. Will likely also work with lme ( nlme::lme()), lmerMod ( lme4::lmer()) models as well. A function for comparing and ranking predicted means with Tukey's Honest Significant Difference (HSD) Test.Īn ASReml-R or aov model object.
