summaryCG | R Documentation |
Summary of restab$descr
summaryCG(
res,
restab,
dat,
y,
xtab = FALSE,
col = TRUE,
title = NULL,
lbl = NULL,
met.adj = "fdr",
sz.xtab = 8,
xtab.type = "latex",
sort.pval = FALSE,
color = "#d6c9d6",
color.font = "white"
)
res |
an object of class 'compareGroups' |
restab |
an object of class 'createTable' (of param 'res'). |
dat |
a data frame containing the variables in the model. |
y |
a vector variable that distinguishes the groups. It must be either a numeric, character, factor or NULL. Default value is NULL which means that descriptives for whole sample are calculated and no test is performed |
xtab |
A logical value indicating whether the output is a xtable. Default value is FALSE. |
col |
A logical value indicating the xtable color. Default value is TRUE. |
title |
Character vector containing the table's caption or title. Default value is NULL. |
lbl |
Character vector of length 1 containing the LaTeX label. Default value is NULL. |
met.adj |
correction method. Can be abbreviated. Default value is 'fdr' |
sz.xtab |
A character vector that is inserted just before the tabular environment starts. This can be used to set the font size and a variety of other table settings. Initial backslashes are automatically prefixed, if not supplied by user. Default value is small. |
xtab.type |
A character string. Possible values are latex, html, markdown, pandoc, and rst; this will be automatically determined if the function is called within knitr; it can also be set in the global option knitr.table.format. If format is a function, it must return a character string. |
The adjustment methods include the Bonferroni correction ('bonferroni') in which the p-values are multiplied by the number of comparisons. Less conservative corrections are also included by Holm (1979) ('holm'), Hochberg (1988) ('hochberg'), Hommel (1988) ('hommel'), Benjamini & Hochberg (1995) ('BH' or its alias 'fdr'), and Benjamini & Yekutieli (2001) ('BY'), respectively.
summary table.
Miriam Mota miriam.mota@vhir.org
p.adjust
res <- compareGroups(am ~., dat = mtc_bis, method = NA)
restab <- createTable(res)
summaryCG(res, restab, dat = mtc_bis, y = 'am', xtab = FALSE)
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