latex.table.fac: Produce (LaTeX) Summaries for Factor Variables

Description

The function produces LaTeX tables with summary statistics for factor variables. It makes use of the booktabs package in LaTeX to obtain tables with a nice layout.

Usage

latex.table.fac(..., caption = NULL, label = NULL,
    table = c("tabular", "longtable"), align = NULL,
    floating = FALSE, center = TRUE)

Arguments

...

arguments for summarize. See there for details.

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 \label{"label"}.

table

character string. LaTeX table format, currently either "tabular" (default) or "longtable".

align

character string. LaTeX alignment of table rows, per default "lllr...r", where "r" is repeated ncol - 2 times.

floating

logical (default: FALSE). Determines whether the table is a floating object (i.e. use a table environment or not). Note that a longtable cannot be a floating object but captions can be used.

center

logical (default: TRUE). Determines if table should be centered.

Value

The output is printed with LaTeX style syntax highlighting to be used e.g. in Sweave chunks with results=tex.

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, longtables and tabulars. 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.

Examples

Run this code

# NOT RUN {
## 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.fac(Orthodont)

    ## Reorder data for table:
    latex.table.fac(Orthodont, variables = c("Sex", "Subject"))

    ## What happens in the display if we introduce some missing values:
    set.seed(1907)
    Orthodont$Sex[sample(nrow(Orthodont), 20)] <- NA
    latex.table.fac(Orthodont)
    latex.table.fac(Orthodont, variables = "Sex")
    ## do not show statistics on missing values
    latex.table.fac(Orthodont, variables = "Sex", show.NAs = FALSE)
}
# }