TOne: Create Table One Describing Baseline Characteristics

Description

Create a table summarizing continuous, categorical and dichotomous variables, optionally stratifyied by one or more variables, while performing adequate statistical tests.

Usage

TOne(x, grp = NA, add.length = TRUE, colnames = NULL, vnames=NULL,
     align = "\\l", FUN = NULL)

Arguments

a data.frame containing all the variables to be included in the table.

grp

the grouping variable.

add.length

logical. If set to TRUE (default), a row with the lengths of the group will be inserted as first row of the table.

colnames

a vector of columnnames for the result table.

vnames

a vector of variablenames to be placed in the first column instead of the real names.

align

the character on whose position the strings will be aligned. Left alignment can be requested by setting sep = "\\l", right alignment by "\\r" and center alignment by "\\c". Mind the backslashes, as if they are omitte

FUN

the function to be used as location and dispersion measure (typically mean/sd or median/(IQR))

Value

a character matrix

Details

There are three types of variables currently implemented: numeric, factor and variables with only two levels.

Examples

Run this code

opt <- options()

# define some special formats for count data, percentages and numeric results
# (those will be supported by TOne)
options(fmt.abs=structure(list(digits=0, big.mark="'"), class="fmt"))
options(fmt.per=structure(list(digits=1, fmt="%"), class="fmt"))
options(fmt.num=structure(list(digits=1, big.mark="'"), class="fmt"))

TOne(x = d.pizza[, c("temperature","delivery_min","driver","wine_ordered")],
     grp=d.pizza$quality)

# define median/IQR as describing functions for the numeric variables
TOne(iris[, -5], iris[, 5],
  FUN = function(x) gettextf("%s / %s",
         Format(median(x, na.rm=TRUE), digits=1),
         Format(IQR(x, na.rm=TRUE), digits=3))
)

options(opt)

--  Send the whole stuff to Word

wrd <- GetNewWrd()
ToWrd(TOne(x = d.pizza[, c("temperature","delivery_min","driver","wine_ordered")],
           grp=d.pizza$quality))