PhDPublications {scar} | R Documentation |
Doctoral Publications
Description
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 indicating the marital status.
- 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
Imported directly from CRAN package AER (Kleiber and Zeileis, 2013) for the sake of convenience.
References
Chen, Y. and Samworth, R. J. (2016). Generalized additive and index models with shape constraints. Journal of the Royal Statistical Society: Series B, 78, 729-754.
Kleiber, C. and Zeileis, A. (2013). AER: applied econometrics with R. R package version 1.2-0, http://cran.r-project.org/web/packages/AER/
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
## Some data pre-processing
data(PhDPublications)
dat = matrix(0,ncol=4,nrow=nrow(PhDPublications))
dat[,1] = as.numeric(PhDPublications$gender == "female")
dat[,2] = as.numeric(PhDPublications$married == "yes")
dat[,3] = as.numeric(PhDPublications$kids)
dat[,4] = as.numeric(PhDPublications$mentor)
y = PhDPublications$articles
## Run scar on the dataset
object = scar(dat,y,shape=c("l","l","de","ccv"),family=poisson())
## Check the effects of mentor
plot(object,which=c(4))