National Longitudinal Survey of Youth Data
The dataset come from a small random sample of the U.S. National Longitudinal Survey of Youth.
data(NLSY)
A data frame with 243 observations on the following 6 variables.
mathMath achievement test score
readReading achievement test score
antisocscore on a measure of child's antisocial behavior, 0:6
hyperactscore on a measure of child's hyperactive behavior, 0:5
incomeyearly income of child's father
educyears of education of child's father
In this dataset, math and read scores are taken at the outcome
variables.
Among the remaining predictors, income and educ might be
considered as background variables necessary to control for.
Interest might then be focused on whether
the behavioural variables antisoc and hyperact contribute beyond that.
This dataset was derived from a larger one used by Patrick Curran at the 1997 meeting of the Society for Research on Child Development (SRCD). A description now only exists on the WayBack Machine, http://web.archive.org/web/20050404145001/http://www.unc.edu/~curran/example.html.
More details are available at http://web.archive.org/web/20060830061414/http://www.unc.edu/~curran/srcd-docs/srcdmeth.pdf.
data(NLSY)
#examine the data
scatterplotMatrix(NLSY, smooth=FALSE)
# test control variables by themselves
# -------------------------------------
mod1 <- lm(cbind(read,math) ~ income+educ, data=NLSY)
Anova(mod1)
heplot(mod1, fill=TRUE)
# test of overall regression
coefs <- rownames(coef(mod1))[-1]
linearHypothesis(mod1, coefs)
heplot(mod1, fill=TRUE, hypotheses=list("Overall"=coefs))
# additional contribution of antisoc + hyperact over income + educ
# ----------------------------------------------------------------
mod2 <- lm(cbind(read,math) ~ antisoc + hyperact + income + educ, data=NLSY)
Anova(mod2)
coefs <- rownames(coef(mod2))[-1]
heplot(mod2, fill=TRUE, hypotheses=list("Overall"=coefs, "mod2|mod1"=coefs[1:2]))
linearHypothesis(mod2, coefs[1:2])
heplot(mod2, fill=TRUE, hypotheses=list("mod2|mod1"=coefs[1:2]))Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.