xpssMeans: Simple descriptive statistics

In translateSPSS2R: Toolset for Translating SPSS-Syntax to R-Code

Description

R Implementation of the SPSS Function MEANS.

Usage

xpssMeans(x, variables = NULL, by = NULL, missing = NULL,
  cells = "default", statistics = NULL)

Arguments

x	a (non-empty) data.frame or input data of class "xpssFrame".
variables	atomic character or character vector with the name of the variables.
by	atomic character or character vector with the name of the variables.
missing	atomic numeric with the name of the missing method. Default is NULL. Optionally table,dependent or include can be chosen. See note for more.
cells	specifies descriptiv statistics for the results. Default is mean, stddev and n. See notes for more.
statistics	specifies a anova or linearity test for each result. Default is NULL. Optionally anova can be chosen.

Details

The xpssMeans function displays by default the mean, standard deviation and the amount of observations for a numeric dependent variable. and group counts for a string variable within groups defined by one or more control (independent) variables. Other procedures that display univariate statistics are SUMMARIZE, FREQUENCIES, and DESCRIPTIVES.

missing:

	table	Deletes cases tablewise.
	include	Include user-missing values.
	dependent	Exclude user-missing values for dependent variables only.

statistics:

anova

calculates sumsquare, degrees of freedom, meansquare, f-value and significance level.

cells:

	all	calculates all following descriptiv functions.
	count	displays the amount of observations.
	first	displays the first observation.
	geometric	displays the geometric mean
	harmonic	displays the harmonic mean
	kurt	calculates the bulge of the variable.
	last	displays the last observation.
	max	displays the maximum of the variable.
	mean	calculates the arithmetic mean, respectively the midpoint of the variable.
	median	calculates the median of the variable.
	min	displays the minimum of the variable.
	range	displays the span between the minimum and the maximum value.
	sekurtosis	calculates the standrard error of the bulge of the variable.
	semean	displays the standard error of the arithmetic mean.
	seskewness	calculates the standrard error of the inclination of the variable.
	skew	calculates the inclination of the variable.
	stddev	displays the standard deviation of the variable.
	sum	calculates the sum of each observation within the variable.
	variance	displays the variance.

Author(s)

Bastian Wiessner

Examples

# mean of variable V3
xpssMeans(x=fromXPSS,variables="V3")

# mean of variable V3 and V4
xpssMeans(x=fromXPSS,variables=c("V3","V4"))

# mean of variable V3 and V6 by V4
xpssMeans(x=fromXPSS,variables=c("V3","V6"),by="V4")

# Filtering by V4 and calculate Mean of Variable V6 by V3 and V6_kl3
fromXPSS <- xpssFilter(x=fromXPSS,variable="V4",filtervalue=1)
xpssMeans(x=fromXPSS,variables="V6",by=c("V3","V6_kl3"))
fromXPSS <- xpssFilterOff(fromXPSS)

translateSPSS2R documentation built on May 30, 2017, 4:31 a.m.