The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
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[@]dogado.de.
## Linear Regression Model
##
## ols(formula = mpg ~ cyl + vs, data = mtcars, model = TRUE, x = TRUE,
## y = TRUE)
##
## Model Likelihood Discrimination
## Ratio Test Indexes
## Obs 32 LR chi2 41.70 R2 0.728
## sigma3.2481 d.f. 2 R2 adj 0.710
## d.f. 29 Pr(> chi2) 0.0000 g 5.641
##
## Residuals
##
## Min 1Q Median 3Q Max
## -4.92324 -1.95291 -0.08097 1.31867 7.57676
##
##
## Coef S.E. t Pr(>|t|)
## Intercept 39.6250 4.2246 9.38 <0.0001
## cyl -3.0907 0.5581 -5.54 <0.0001
## vs -0.9391 1.9775 -0.47 0.6384
##
## Logistic Regression Model
##
## lrm(formula = vs ~ mpg, data = mtcars, model = TRUE, x = TRUE,
## y = TRUE)
##
## Model Likelihood Discrimination Rank Discrim.
## Ratio Test Indexes Indexes
## Obs 32 LR chi2 18.33 R2 0.584 C 0.911
## 0 18 d.f. 1 g 2.925 Dxy 0.821
## 1 14 Pr(> chi2) <0.0001 gr 18.637 gamma 0.825
## max |deriv| 2e-05 gp 0.399 tau-a 0.417
## Brier 0.130
##
## Coef S.E. Wald Z Pr(>|Z|)
## Intercept -8.8331 3.1623 -2.79 0.0052
## mpg 0.4304 0.1584 2.72 0.0066
##
##
## Call: glm(formula = vs ~ mpg, family = binomial(link = "logit"), data = mtcars,
## model = TRUE, x = TRUE, y = TRUE)
##
## Coefficients:
## (Intercept) mpg
## -8.8331 0.4304
##
## Degrees of Freedom: 31 Total (i.e. Null); 30 Residual
## Null Deviance: 43.86
## Residual Deviance: 25.53 AIC: 29.53
## Cox Proportional Hazards Model
##
## cph(formula = Surv(mpg, vs) ~ am + gear, data = mtcars, model = TRUE,
## x = TRUE, y = TRUE)
##
## Model Tests Discrimination
## Indexes
## Obs 32 LR chi2 9.35 R2 0.311
## Events 14 d.f. 2 Dxy 0.514
## Center -2.0911 Pr(> chi2) 0.0093 g 1.275
## Score chi2 10.16 gr 3.579
## Pr(> chi2) 0.0062
##
## Coef S.E. Wald Z Pr(>|Z|)
## am -2.0159 0.9041 -2.23 0.0258
## gear -0.3450 0.6999 -0.49 0.6221
##
## Call:
## coxph(formula = Surv(mpg, vs) ~ am + gear, data = mtcars, model = TRUE,
## x = TRUE, y = TRUE)
##
## coef exp(coef) se(coef) z p
## am -2.0159 0.1332 0.9041 -2.230 0.0258
## gear -0.3450 0.7082 0.6999 -0.493 0.6221
##
## Likelihood ratio test=9.35 on 2 df, p=0.009328
## n= 32, number of events= 14
These 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.
Health stats visible at Monitor.