req.objects: Required objects to run some examples

In InferenceSMR: Inference About the Standardized Mortality Ratio when Evaluating the Effect of a Screening Program on Survival

Required objects to run some examples

Description

Contains pre-built objects used to run some examples. Those items simplify some examples.

Usage

data(req.objects)

Format

The format is: List of 5 $ contribution:List of 4 ..$ :'data.frame': 1022 obs. of 9 variables: .. ..$ Group.1: num [1:1022] 0 0.5 1 1.5 2 2.5 3 0 0.5 1 ... .. ..$ Group.2: num [1:1022] 3 3 3 3 3 3 3 4 4 4 ... .. ..$ Group.3: num [1:1022] 70 70 70 70 70 70 70 70 70 70 ... .. ..$ Group.4: num [1:1022] 0 0 0 0 0 0 0 0 0 0 ... .. ..$ Group.5: num [1:1022] 0 0 0 0 0 0 0 0 0 0 ... .. ..$ Group.6: num [1:1022] 0 0 0 0 0 0 0 0 0 0 ... .. ..$ Group.7: num [1:1022] 0 0 0 0 0 0 0 0 0 0 ... .. ..$ Group.8: num [1:1022] 0 0 0 0 0 0 0 0 0 0 ... .. ..$ x : num [1:1022] 11 16.5 11 11 20 20 11 8 16 34 ... ..$ : int 2 ..$ : int 5 ..$ : num 0.5 $ incid : num [1:156, 1:4] 0.018 0.0171 0.0266 0.0122 0.0183 ... $ cox :List of 18 ..$ coefficients : Named num [1:5] -0.3843 0.3169 0.0076 0.1483 0.1751 .. ..- attr(*, "names")= chr [1:5] "year" "age1" "age2" "age3" ... ..$ var : num [1:5, 1:5] 0.104866 0.003629 -0.003322 -0.000495 -0.004334 ... ..$ loglik : num [1:2] -361 -360 ..$ score : num 2.19 ..$ iter : int 4 ..$ linear.predictors: num [1:697] 0.1638 -0.2281 -0.0798 -0.2281 0.3313 ... ..$ residuals : Named num [1:697] -0.0179 -0.0877 -0.1096 -0.1518 -0.1014 ... .. ..- attr(*, "names")= chr [1:697] "1" "2" "3" "4" ... ..$ means : num [1:5] 0.5968 0.0861 0.1449 0.1578 0.122 ..$ concordance : Named num [1:5] 13077 9278 4675 0 2084 .. ..- attr(*, "names")= chr [1:5] "concordant" "discordant" "tied.risk" "tied.time" ... ..$ method : chr "breslow" ..$ n : int 697 ..$ nevent : num 60 ..$ terms :Classes 'terms', 'formula' length 3 Surv(time = followONS, event = deathBC, type = "right") ~ year + age1 + age2 + age3 + age4 .. .. ..- attr(*, "variables")= language list(Surv(time = followONS, event = deathBC, type = "right"), year, age1, age2, age3, age4) .. .. ..- attr(*, "factors")= int [1:6, 1:5] 0 1 0 0 0 0 0 0 1 0 ... .. .. .. ..- attr(*, "dimnames")=List of 2 .. .. .. .. ..$ : chr [1:6] "Surv(time = followONS, event = deathBC, type = \"right\")" "year" "age1" "age2" ... .. .. .. .. ..$ : chr [1:5] "year" "age1" "age2" "age3" ... .. .. ..- attr(*, "term.labels")= chr [1:5] "year" "age1" "age2" "age3" ... .. .. ..- attr(*, "specials")=Dotted pair list of 3 .. .. .. ..$ strata : NULL .. .. .. ..$ cluster: NULL .. .. .. ..$ tt : NULL .. .. ..- attr(*, "order")= int [1:5] 1 1 1 1 1 .. .. ..- attr(*, "intercept")= int 1 .. .. ..- attr(*, "response")= int 1 .. .. ..- attr(*, ".Environment")=<environment: R_GlobalEnv> .. .. ..- attr(*, "predvars")= language list(Surv(time = followONS, event = deathBC, type = "right"), year, age1, age2, age3, age4) .. .. ..- attr(*, "dataClasses")= Named chr [1:6] "nmatrix.2" "numeric" "numeric" "numeric" ... .. .. .. ..- attr(*, "names")= chr [1:6] "Surv(time = followONS, event = deathBC, type = \"right\")" "year" "age1" "age2" ... ..$ assign :List of 5 .. ..$ year: num 1 .. ..$ age1: num 2 .. ..$ age2: num 3 .. ..$ age3: num 4 .. ..$ age4: num 5 ..$ wald.test : num 2.17 ..$ y : Surv [1:697, 1:2] 0.7957+ 3.4669+ 3.7693+ 5.5679+ 2.0462+ 2.1702 0.7686+ 2.7796+ 3.7853+ 5.2374+ ... .. ..- attr(*, "dimnames")=List of 2 .. .. ..$ : chr [1:697] "1" "2" "3" "4" ... .. .. ..$ : chr [1:2] "time" "status" .. ..- attr(*, "type")= chr "right" ..$ formula :Class 'formula' length 3 Surv(time = followONS, event = deathBC, type = "right") ~ year + age1 + age2 + age3 + age4 .. .. ..- attr(*, ".Environment")=<environment: R_GlobalEnv> ..$ call : language coxph(formula = Surv(time = followONS, event = deathBC, type = "right") ~ year + age1 + age2 + age3 + age4, data = cox.data, control = coxph.control(iter.max = 100), method = "breslow") ..- attr(*, "class")= chr "coxph" $ covnames : chr [1:5] "year" "age1" "age2" "age3" ... $ cox.data :'data.frame': 697 obs. of 7 variables: ..$ followONS: num [1:697] 0.796 3.467 3.769 5.568 2.046 ... ..$ deathBC : num [1:697] 0 0 0 0 0 1 0 0 0 0 ... ..$ year : num [1:697] 0 1 1 1 0 1 0 0 1 1 ... ..$ age1 : num [1:697] 0 0 0 0 0 0 0 0 0 0 ... ..$ age2 : num [1:697] 1 0 0 0 0 0 0 0 0 0 ... ..$ age3 : num [1:697] 0 0 1 0 0 0 0 1 0 1 ... ..$ age4 : num [1:697] 0 0 0 0 1 0 0 0 0 0 ...

InferenceSMR documentation built on May 9, 2022, 9:06 a.m.