intsvy.reg: Regression analysis without plausible values

In intsvy: International Assessment Data Manager

Regression analysis without plausible values

Description

intsvy.reg performs linear regression analysis (OLS) for an observed depedent variable (NOT for plausible values)

Usage

intsvy.reg(y, x, by, data, export = FALSE, name = "output", folder = getwd(), 
         config)

Arguments

y	Label for dependent variable.
x	Data labels of independent variables.
by	The label for the grouping variable, usually the countries (i.e., by="CNTRYID"), but could be any other categorical variable.
data	An R object, normally a data frame, containing the data.
export	A logical value. If TRUE, the output is exported to a file in comma-separated value format (.csv) that can be opened from LibreOffice or Excel.
name	The name of the exported file.
folder	The folder where the exported file is located.
config	Object with configuration of a given study. Should contain the slot 'prefixes' with prefixes of filenames with the student, home, school, and teacher data.

Value

intsvy.reg returns a data frame with coefficients, standard errors and t-values. If "by" is specified, results are reported in a list. If the "by" argument is set, then the returning object is of the class "intsvy.reg" with overloaded function plot().

See Also

pisa.reg, pirls.reg, timss.reg

Examples

## Not run: 
# install pbiecek/PIAAC package from github to have access to piaac data
piaac.reg(y="AGE_R", x="GENDER_R", by="CNTRYID", data=piaac)

## End(Not run)

intsvy documentation built on Oct. 3, 2023, 1:07 a.m.