Description Usage Arguments Value
View source: R/adapperccutpoints.R
For internal use in the mixADA GUI: Computes sample quantiles fpor subgroups of observations, where subgroups are assumed to be determined by a two-component mixture model
1 2 | adapperccutpoints(resadapmixmod, level = 0.95, alternative = "less",
group = c("nonresponder", "responder", "all"))
|
resadapmixmod |
an object obtained by fitting a mixture model, by using functions |
level |
single numeric value, ]0,1[, the levels of percentiles |
alternative |
as usual, single character string, "two.sided": two-sided prediction intervals, "less": upper prediction limits only, "greater": lower prediction limits only |
group |
a single character string, naming for which subset of biological samples to consider for fitting random effects models and prediction limits |
A data.frame with 3 columns:
value |
numeric, percentiles acc. to different methods |
group |
character, naming a subgroup of the mixture model |
estimated |
character, labels for the type of percentile used |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.