PhDPublications: Doctoral Publications

In scar: Shape-Constrained Additive Regression: a Maximum Likelihood Approach

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))

scar documentation built on May 28, 2022, 1:22 a.m.