latex.table.cont {papeR} | R Documentation |
Produce (LaTeX) Summaries for Continuous Variables
Description
The function produces LaTeX tables with summary statistics for continous variables. It makes use of the booktabs package in LaTeX to obtain tables with a nice layout.
Usage
latex.table.cont(..., caption = NULL, label = NULL,
table = c("tabular", "longtable"), align = NULL,
floating = FALSE, center = TRUE)
Arguments
... |
arguments for |
caption |
(optional) character string. Caption of LaTeX table. Note that captions are suported for all tables (see also details below). |
label |
(optional) character string. Label of LaTeX table specified as
|
table |
character string. LaTeX table format, currently either
|
align |
character string. LaTeX alignment of table rows, per default
|
floating |
logical (default: |
center |
logical (default: |
Details
This function is deprecated and only available for backward
comaptibility. Use summarize
for more flexibility.
The output requires \usepackage{booktabs}
in the LaTeX file.
Captions can be added to both, longtable
s and tabular
s.
In the latter case, captions are also suported if the table is no
floating object. In this case, the LaTeX package capt-of
is
required.
Value
The output is printed with LaTeX style syntax highlighting to be used
e.g. in Sweave chunks with results=tex
.
Author(s)
Benjamin Hofner
See Also
latex.table.fac
and get_option
Examples
## Example requires package nlme to be installed and loaded
if (require("nlme")) {
## Use dataset Orthodont
data(Orthodont, package = "nlme")
## Get summary for continuous variables
latex.table.cont(Orthodont)
## Change statistics to display
latex.table.cont(Orthodont, quantiles = FALSE)
latex.table.cont(Orthodont, count = FALSE, quantiles = FALSE)
latex.table.cont(Orthodont, mean_sd = FALSE)
## Show column 'Missing' even if no missings are present
latex.table.cont(Orthodont, show.NAs = TRUE)
## Change variables to display
latex.table.cont(Orthodont, variables = "age")
## What happens in the display if we introduce some missing values:
set.seed(1907)
Orthodont$age[sample(nrow(Orthodont), 20)] <- NA
latex.table.cont(Orthodont)
}