descGroup | R Documentation |
DESCRIPCIO DE LA FUNCIO
descGroup(...)
frml |
Right side of ~ must have the terms in an additive way, and left side of ~ must contain the name of the grouping variable or can be left in blank (in this latter case descriptives for whole sample are calculated and no test is performed). |
covariates |
a character string with names of variables. |
group |
factor variable. Outcome. Default value is NULL |
data |
data frame, list or environment (or object coercible by 'as.data.frame' to a data frame) containing the variables in the model. If they are not found in 'data', the variables are taken from 'environment(formula)'. |
method |
character string indicating the method to test use; possible values are 'param' or 'non-param'. Default values is 'non-param'. |
font_size |
A numeric input for table font size |
byrow |
logical or NA. Percentage of categorical variables must be reported by rows (TRUE), by columns (FALSE) or by columns and rows to sum up 1 (NA). Default value is FALSE, which means that percentages are reported by columns (withing groups). |
width_lev |
defines the maximum width of table columns. Default value is 8em |
pval_cut |
cut p.value colored. To select |
show.pval |
logical indicating whether p-value of overall groups significance ('p.overall' column) is displayed or not. Default value is TRUE. |
show.pval.adj |
logical indicating whether adjust p-value of overall groups significance ('p.overall' column) is displayed or not. Default value is FALSE. |
caption |
Character vector containing the table's caption or title. |
paired |
logical indicating paired data. Default value is FALSE. |
idvar |
a character string with name of identifier variable . |
# set.seed(1)
# dat <- df <- data.frame(MUT = factor(c(rep("A", 13),rep("B",13))),
# var = factor(sample(c("Yes", "no"), 26, replace = TRUE)),
# size = rnorm(26),
# id = paste0("a",1:26))
# dat$id <- as.character(dat$id)
# res <- desc_group(group = "MUT",covariates = names(dat), data = dat)
# res$res
# res <- desc_group(group = "MUT",covariates = names(dat), data = dat, show.pval = FALSE)
# res$res
# desc_group(covariates = qsec, group = vs, data = mtc_bis)
# desc_group(covariates = gear, group = vs, data = mtc_bis)
# mtc_bis %>% desc_group(covariates = qsec, group = vs)
# mtc_bis %>% desc_group(covariates = c(qsec, mpg, gear), group = vs)
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