] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] | File | Output | Title |
|---|---|---|
| Arrests-effects.R | [] |
Arrests data: Effects plots |
| Arrests-logistic.R | [] |
Arrests data: Logistic regression |
| arthritis-diag.R | [] |
Arthritis data: diagnostic plots |
| arthritis-logistic.R | [] |
Arthritis data: Logistic regression |
| arthritis-propodds.R | [] |
Arthritis data: Proportional odds model |
| berk-4fold.R | [] |
UCBAdmissions: fourfold displays and odds ratios |
| berkeley-diag.R | [] |
Diagnostic plots for berkeley data |
| berkeley-glm.R | [] |
UCBAdmissions: Fitting models with loglm() and glm() |
| berkeley-logit.R | [] |
UCB data: logit models for admission |
| cowles-effect.R | [] |
Cowles data: Effect plots |
| cowles-logistic.R | [] |
Cowles data: Logistic regression |
| mental-ca.R | [] |
Mental health data: Correspondence analaysis |
| mental-glm.R | [] |
Mental health data: glm() for ordinal variables |
| msdiag-agree.R | [] |
MSPatients: Agreement |
| sexfun-chisq.R | [] |
Tests for association in two-way tables |
| titanic-loglin.R | [] |
Survival on the titanic, using loglm() |
| vision-quasi.R | [] |
VisualAcuity: Quasi-independence and quasi-symmetry |
| vision-sieve.R | [] |
VisualAcuity data: sieve diagrams |
| wlf-glogit.R | [] |
Multinomial logistic regression |
| wlf-nested.R | [] |
Polytomous Data: nested dichotomies |