PhDPublications | R Documentation |
Doctoral Publications
Description
Cross-section data on the scientific productivity of PhD students in biochemistry.
Usage
data("PhDPublications")
Format
A data frame containing 915 observations on 6 variables.
- articles
Number of articles published during last 3 years of PhD.
- gender
factor indicating gender.
- married
factor. Is the PhD student married?
- kids
Number of children less than 6 years old.
- prestige
Prestige of the graduate program.
- mentor
Number of articles published by student's mentor.
Source
Online complements to Long (1997).
References
Long, J.S. (1990). Regression Models for Categorical and Limited Dependent Variables. Thousand Oaks: Sage Publications.
Long, J.S. (1997). The Origin of Sex Differences in Science. Social Forces, 68, 1297–1315.
Examples
## from Long (1997)
data("PhDPublications")
## Table 8.1, p. 227
summary(PhDPublications)
## Figure 8.2, p. 220
plot(0:10, dpois(0:10, mean(PhDPublications$articles)), type = "b", col = 2,
xlab = "Number of articles", ylab = "Probability")
lines(0:10, prop.table(table(PhDPublications$articles))[1:11], type = "b")
legend("topright", c("observed", "predicted"), col = 1:2, lty = rep(1, 2), bty = "n")
## Table 8.2, p. 228
fm_lrm <- lm(log(articles + 0.5) ~ ., data = PhDPublications)
summary(fm_lrm)
-2 * logLik(fm_lrm)
fm_prm <- glm(articles ~ ., data = PhDPublications, family = poisson)
library("MASS")
fm_nbrm <- glm.nb(articles ~ ., data = PhDPublications)
## Table 8.3, p. 246
library("pscl")
fm_zip <- zeroinfl(articles ~ . | ., data = PhDPublications)
fm_zinb <- zeroinfl(articles ~ . | ., data = PhDPublications, dist = "negbin")