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

Description Usage Arguments Value See Also Examples

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

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

`pvlabel`	The label corresponding to the achievement variable, for example, "BSMMAT", for overall math performance in TIMSS Grade 8.
`x`	Data labels of independent variables.
`by`	The label for the grouping variable, usually the countries (i.e., by="IDCNTRYL"), but could be any other categorical variable.
`data`	An R object, normally a data frame, containing the data from TIMSS.
`std`	A logical value. If TRUE standardised regression coefficients are calculated.
`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.

intsvy.reg.pv prints a data.frame with regression results (i.e., coefficients, standard errors, t-values, R-squared) and stores different regression output including residuals, replicate coefficients, variance within and between, and the regression data.frame in a list object of class "intsvy.reg".

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

## Not run: 
intsvy.reg.pv(pvlabel="MATH", x="ST04Q01", by = "IDCNTRYL",data=pisa, config=pisa_conf)
intsvy.reg.pv(pvlabel="LIT", x="GENDER_R", by = "CNTRYID", data=piaac, config=piaac_conf)
intsvy.reg.pv(pvlabel="BSMMAT", by="IDCNTRYL", x="ITSEX", data=timss8g, config=timss8_conf)
intsvy.reg.pv(pvlabel="ASRREA", by="IDCNTRYL", x="ITSEX", data=pirls, config=pirls_conf)

## End(Not run)