descriptives {r2spss}

Descriptive Statistics

Description

Compute descriptive statistics of numeric variables of a data set (number of observations, minimum, maximum, mean, standard deviaiton). The output is printed as a LaTeX table that mimics the look of SPSS output.

Usage

descriptives(data, variables)

## S3 method for class 'descriptives_SPSS'
to_SPSS(object, digits = 2, ...)

## S3 method for class 'descriptives_SPSS'
print(x, version = r2spss_options$get("version"), ...)

Arguments

data

a data frame containing the variables.

variables

a character vector specifying numeric variables for which to compute descriptive statistics.

object, x

an object of class "descriptives_SPSS" as returned by function descriptives.

digits

an integer giving the number of digits after the comma to be printed in the SPSS table.

...

additional arguments to be passed down to format_SPSS.

version

a character string specifying whether the table should mimic the look of recent SPSS versions ("modern") or older versions (<24; "legacy").

Details

The print method first calls the to_SPSS method followed by to_latex. Further customization can be done by calling those two functions separately, and modifying the object returned by to_SPSS.

Value

An object of class "descriptives_SPSS" with the following components:

classes

a character vector giving the (first) class of the variables of interest.

descriptives

a data frame containing the descriptive statistics.

n

an integer giving the number of observations.

The to_SPSS method returns an object of class "SPSS_table" which contains all relevant information in the required format to produce the LaTeX table. See to_latex for possible components and how to further customize the LaTeX table based on the returned object.

The print method produces a LaTeX table that mimics the look of SPSS output.

Note

LaTeX tables that mimic recent versions of SPSS (version = "modern") may require several LaTeX compilations to be displayed correctly.

Author(s)

Andreas Alfons

Examples

# load data
data("Eredivisie")

# compute descriptive statistics for market value and age
descriptives(Eredivisie, c("MarketValue", "Age"))