ff_metrics {finalfit} | R Documentation |
Generate common metrics for regression model results
ff_metrics(.data) ## S3 method for class 'lm' ff_metrics(.data) ## S3 method for class 'lmlist' ff_metrics(.data) ## S3 method for class 'glm' ff_metrics(.data) ## S3 method for class 'glmlist' ff_metrics(.data) ## S3 method for class 'lmerMod' ff_metrics(.data) ## S3 method for class 'glmerMod' ff_metrics(.data) ## S3 method for class 'coxph' ff_metrics(.data) ## S3 method for class 'coxphlist' ff_metrics(.data)
.data |
Model output. |
Model metrics vector for output.
library(finalfit) # glm fit = glm(mort_5yr ~ age.factor + sex.factor + obstruct.factor + perfor.factor, data=colon_s, family="binomial") fit %>% ff_metrics() # glmlist explanatory = c("age.factor", "sex.factor", "obstruct.factor", "perfor.factor") dependent = "mort_5yr" colon_s %>% glmmulti(dependent, explanatory) %>% ff_metrics() # glmerMod explanatory = c("age.factor", "sex.factor", "obstruct.factor", "perfor.factor") random_effect = "hospital" dependent = "mort_5yr" colon_s %>% glmmixed(dependent, explanatory, random_effect) %>% ff_metrics() # lm fit = lm(nodes ~ age.factor + sex.factor + obstruct.factor + perfor.factor, data=colon_s) fit %>% ff_metrics() # lmerMod explanatory = c("age.factor", "sex.factor", "obstruct.factor", "perfor.factor") random_effect = "hospital" dependent = "nodes" colon_s %>% lmmixed(dependent, explanatory, random_effect) %>% ff_metrics() # coxphlist explanatory = c("age.factor", "sex.factor", "obstruct.factor", "perfor.factor") dependent = "Surv(time, status)" colon_s %>% coxphmulti(dependent, explanatory) %>% ff_metrics() # coxph fit = survival::coxph(survival::Surv(time, status) ~ age.factor + sex.factor + obstruct.factor + perfor.factor, data = colon_s) fit %>% ff_metrics()