xpssRegression: Calculates a linear Regression

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

Description

R Implementation of the SPSS REGRESSION Function.xpssRegression calculates linear regressions with associated statistics and plots.

Usage

xpssRegression(x, variables = NULL, dependent, method = enter(),
missing = "listwise", statistics = c("COEFF", "OUTS", "R", "ANOVA"), origin = FALSE)

Arguments

x	a (non-empty) data.frame, data.table object or input data of class "xpssFrame".
variables	vector with independent Variables as characters
dependent	dependent Variable as character
method	regression method to apply. Currently only enter() is implemented
missing	Method to handle missing values. Currently only listwise is implemented
statistics	character vector, which statistics should be in the output. Currently the function will return standard lm output. Only output for ANOVA is optional
origin	Should the constant be compressed?

Details

Implementation from SPSS Regression in R

Value

returns a list of lists, each applied method is its own list with regression, anova and beta-coeffizients as elements

Author(s)

Martin Schneider

Examples

data(fromXPSS)

xpssRegression(x = fromXPSS,
 		variables = c("V7_1","V7_2"),
 		dependent = "V5",
 		method = list(enter()))

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