piaac.reg.pv: Regression analysis with plausible values for PIAAC
In dickli/intsvy2: International Assessment Data Manager 2

Description Usage Arguments Value See Also Examples

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

1 2	piaac.reg.pv(x, pvlabel = "LIT", by, data, export = FALSE, name = "output", std=FALSE, folder = getwd())

`x`	Data labels of independent variables.
`pvlabel`	The label corresponding to the achievement variable, for example, "LIT", for overall literacy performance, "NUM" for numeracy, "PSL" for problem solving.
`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.

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().

pisa.reg.pv, timss.reg.pv, pirls.reg.pv

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

## End(Not run)