piaac.reg.pv: Regression analysis with plausible values for PIAAC

In intsvy: International Assessment Data Manager

Regression analysis with plausible values for PIAAC

Description

piaac.reg.pv performs linear regression analysis (OLS) with plausible values and replicate weights.

Usage

piaac.reg.pv(x, pvlabel, by, data, 
export = FALSE, name = "output", std=FALSE, folder = getwd())

Arguments

x	Data labels of independent variables.
pvlabel	The names of columns corresponding to the achievement plausible scores.
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 from PIAAC.
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.
std	A logical value. If TRUE standardised regression coefficients are calculated.
folder	The folder where the exported file is located.

Value

piaac.reg.pv 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.pv, timss.reg.pv, pirls.reg.pv

Examples

## Not run: 
# install pbiecek/PIAAC package from github to have access to piaac data
piaac.reg.pv(pvlabel=paste0("PVLIT", 1:10), x="GENDER_R", by = "CNTRYID", data=piaac)

## End(Not run)

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