pisa.log: Logistic regression analysis

In intsvy: International Assessment Data Manager

Logistic regression analysis

Description

pisa.log performs logistic regression analysis (OLS) for an observed depedent variable (NOT for plausible values)

Usage

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

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="CNT"), but could be any other categorical variable.
data	An R object, normally a data frame, containing the data from PISA.
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

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

See Also

pirls.log, timss.log

Examples

## Not run: 

pisa$SKIP[!(pisa$ST09Q01 =="None" & pisa$ST115Q01 == "None")] <- 1
pisa$SKIP[pisa$ST09Q01 =="None" & pisa$ST115Q01 == "None"] <- 0

pisa$LATE[!pisa$ST08Q01=="None"] <- 1
pisa$LATE[pisa$ST08Q01=="None"] <- 0

pisa.log(y="SKIP", x="LATE", by="IDCNTRYL", data = pisa)


## End(Not run)

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