The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
Given a design matrix, as generated by the design.des function, the design.dat function appends (1) fitted values on the response scale (“fitted”), (2) the delta method standard error for the fitted value (“se”), (3) the lower limit of a confidence interval around the fitted value (“ll”), and the upper limit of a confidence interval around the fitted value (“ul”).
For example:
library(catregs)
data("Mize19AH")
m1 <- glm(alcB ~woman*parrole + age + race2 + race3 + race4 + income + ed1 + ed2 + ed3 + ed4,family="binomial",data=Mize19AH)
des2<-margins.des(m1,expand.grid(woman=c(0,1),parrole=c(0,1)))
margins.dat(m1,des2,rounded=5)## woman parrole age race2 race3 race4 income ed1 ed2 ed3
## 1 0 0 28.41653 0.21895 0.0058 0.02995 34.50605 0.1811 0.41003 0.25424
## 2 1 0 28.41653 0.21895 0.0058 0.02995 34.50605 0.1811 0.41003 0.25424
## 3 0 1 28.41653 0.21895 0.0058 0.02995 34.50605 0.1811 0.41003 0.25424
## 4 1 1 28.41653 0.21895 0.0058 0.02995 34.50605 0.1811 0.41003 0.25424
## ed4 fitted se ll ul
## 1 0.09775 0.72071 0.01277 0.69567 0.74574
## 2 0.09775 0.66015 0.01556 0.62966 0.69065
## 3 0.09775 0.61450 0.02024 0.57483 0.65416
## 4 0.09775 0.49175 0.01470 0.46293 0.52056## parrole woman age race2 race3 race4 income ed1 ed2 ed3
## 1 1 1 28.41653 0.21895 0.0058 0.02995 34.50605 0.1811 0.41003 0.25424
## 2 1 1 28.41653 0.21895 0.0058 0.02995 34.50605 0.1811 0.41003 0.25424
## 3 1 1 28.41653 0.21895 0.0058 0.02995 34.50605 0.1811 0.41003 0.25424
## ed4 fitted se ll ul
## 1 0.09775 0.49175 0.0147 0.46293 0.52056
## 2 0.09775 NA NA NA NA
## 3 0.09775 0.49175 0.0147 0.46293 0.52056des3 <- margins.des(m1,expand.grid(age=seq(20,75,5),parrole=c(0,1)))
a<- margins.dat(m1,des3,rounded=5)
a## age parrole woman race2 race3 race4 income ed1 ed2 ed3
## 1 20 0 0.54748 0.21895 0.0058 0.02995 34.50605 0.1811 0.41003 0.25424
## 2 25 0 0.54748 0.21895 0.0058 0.02995 34.50605 0.1811 0.41003 0.25424
## 3 30 0 0.54748 0.21895 0.0058 0.02995 34.50605 0.1811 0.41003 0.25424
## 4 35 0 0.54748 0.21895 0.0058 0.02995 34.50605 0.1811 0.41003 0.25424
## 5 40 0 0.54748 0.21895 0.0058 0.02995 34.50605 0.1811 0.41003 0.25424
## 6 45 0 0.54748 0.21895 0.0058 0.02995 34.50605 0.1811 0.41003 0.25424
## 7 50 0 0.54748 0.21895 0.0058 0.02995 34.50605 0.1811 0.41003 0.25424
## 8 55 0 0.54748 0.21895 0.0058 0.02995 34.50605 0.1811 0.41003 0.25424
## 9 60 0 0.54748 0.21895 0.0058 0.02995 34.50605 0.1811 0.41003 0.25424
## 10 65 0 0.54748 0.21895 0.0058 0.02995 34.50605 0.1811 0.41003 0.25424
## 11 70 0 0.54748 0.21895 0.0058 0.02995 34.50605 0.1811 0.41003 0.25424
## 12 75 0 0.54748 0.21895 0.0058 0.02995 34.50605 0.1811 0.41003 0.25424
## 13 20 1 0.54748 0.21895 0.0058 0.02995 34.50605 0.1811 0.41003 0.25424
## 14 25 1 0.54748 0.21895 0.0058 0.02995 34.50605 0.1811 0.41003 0.25424
## 15 30 1 0.54748 0.21895 0.0058 0.02995 34.50605 0.1811 0.41003 0.25424
## 16 35 1 0.54748 0.21895 0.0058 0.02995 34.50605 0.1811 0.41003 0.25424
## 17 40 1 0.54748 0.21895 0.0058 0.02995 34.50605 0.1811 0.41003 0.25424
## 18 45 1 0.54748 0.21895 0.0058 0.02995 34.50605 0.1811 0.41003 0.25424
## 19 50 1 0.54748 0.21895 0.0058 0.02995 34.50605 0.1811 0.41003 0.25424
## 20 55 1 0.54748 0.21895 0.0058 0.02995 34.50605 0.1811 0.41003 0.25424
## 21 60 1 0.54748 0.21895 0.0058 0.02995 34.50605 0.1811 0.41003 0.25424
## 22 65 1 0.54748 0.21895 0.0058 0.02995 34.50605 0.1811 0.41003 0.25424
## 23 70 1 0.54748 0.21895 0.0058 0.02995 34.50605 0.1811 0.41003 0.25424
## 24 75 1 0.54748 0.21895 0.0058 0.02995 34.50605 0.1811 0.41003 0.25424
## ed4 fitted se ll ul
## 1 0.09775 0.82016 0.02367 0.77376 0.86656
## 2 0.09775 0.74777 0.01437 0.71961 0.77593
## 3 0.09775 0.65839 0.01302 0.63286 0.68391
## 4 0.09775 0.55613 0.03349 0.49048 0.62177
## 5 0.09775 0.44888 0.05585 0.33941 0.55835
## 6 0.09775 0.34618 0.07195 0.20516 0.48720
## 7 0.09775 0.25606 0.07823 0.10274 0.40939
## 8 0.09775 0.18285 0.07526 0.03534 0.33036
## 9 0.09775 0.12699 0.06618 -0.00272 0.25670
## 10 0.09775 0.08639 0.05448 -0.02039 0.19317
## 11 0.09775 0.05791 0.04275 -0.02588 0.14171
## 12 0.09775 0.03843 0.03241 -0.02509 0.10194
## 13 0.09775 0.71460 0.03507 0.64586 0.78335
## 14 0.09775 0.61944 0.02042 0.57943 0.65946
## 15 0.09775 0.51413 0.01353 0.48760 0.54065
## 16 0.09775 0.40754 0.03042 0.34791 0.46717
## 17 0.09775 0.30900 0.04596 0.21893 0.39908
## 18 0.09775 0.22523 0.05358 0.12021 0.33025
## 19 0.09775 0.15894 0.05343 0.05422 0.26367
## 20 0.09775 0.10941 0.04801 0.01532 0.20351
## 21 0.09775 0.07396 0.04012 -0.00468 0.15260
## 22 0.09775 0.04936 0.03186 -0.01310 0.11181
## 23 0.09775 0.03265 0.02440 -0.01517 0.08047
## 24 0.09775 0.02147 0.01819 -0.01418 0.05712These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.