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scar (version 0.2-2)

PhDPublications: Doctoral Publications

Description

Data on the scientific productivity of PhD students in biochemistry.

Usage

data("PhDPublications")

Arguments

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.

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

Run this code
# NOT RUN {
## 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))
# }

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