women_math: Data: Women and Mathematics

In GGMnonreg: Non-Regularized Gaussian Graphical Models

Description

A data frame containing 1190 observations (n = 1190) and 6 variables (p = 6) measured on the binary scale.

Usage

data("women_math")

Format

A data frame containing 1190 observations (n = 1190) and 6 variables (p = 6) measured on the binary scale \insertCitefowlkes1988evaluatingGGMnonreg. These data have been analyzed in \insertCitetarantola2004mcmc;textualGGMnonreg and in \insertCitemadigan1994modelGGMnonreg. The variable descriptions were copied from (section 5.2 ) \insertCite@section 5.2, @talhouk2012efficientGGMnonreg

Details

• 1 Lecture attendance (attend/did not attend)

• 2 Gender (male/female)

• 3 School type (urban/suburban)

• 4 “I will be needing Mathematics in my future work” (agree/disagree)

• 5 Subject preference (math/science vs. liberal arts)

• 6 Future plans (college/job)

References

\insertAllCited

Examples

data("women_math")

GGMnonreg documentation built on April 8, 2021, 5:06 p.m.