pirls.reg: Regression analysis

In intsvy: International Assessment Data Manager

Regression analysis

Description

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

Usage

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

Arguments

y	Label for dependent variable
x	Data labels of independent variables (e.g., x = c("ASDHEHLA", "ITSEX") ).
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 PIRLS.
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.

Value

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

See Also

timss.reg

Examples

## Not run: 

# Recode ASBGBOOK
table(as.numeric(pirls$ASBGBOOK), pirls$ASBGBOOK)
pirls$BOOK[as.numeric(pirls$ASBGBOOK)==1] <- 5
pirls$BOOK[as.numeric(pirls$ASBGBOOK)==2] <- 18
pirls$BOOK[as.numeric(pirls$ASBGBOOK)==3] <- 63
pirls$BOOK[as.numeric(pirls$ASBGBOOK)==4] <- 151
pirls$BOOK[as.numeric(pirls$ASBGBOOK)==5] <- 251
table(pirls$BOOK)

pirls.reg(y= "BOOK", x= "ITSEX", by="IDCNTRYL", data=pirls)

## End(Not run)

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