getdata.DN: Extract dataset from a model object
In DynNom: Visualising Statistical Models using Dynamic Nomograms
getdata.DN R Documentation
Extract dataset from a model object
Description
getdata.DN extracts dataset that was used to produce the model object (supported in DynNom).
Usage
getdata.DN(model)
Arguments
model
an lm, glm, coxph, ols, Glm, lrm, cph or mgcv::gam model objects.
Value
A data.frame containing the dataset used in the fitted model object.
See Also
DynNom, DNbuilder
Examples
fit1 <- glm(Survived ~ Age + Class + Sex, data = as.data.frame(Titanic),
weights = Freq, family = binomial("probit"))
getdata.DN(fit1)
library(survival)
fit2 <- coxph(Surv(time, status) ~ age + strata(sex) + ph.ecog, data = lung)
getdata.DN(fit2)
DynNom documentation built on June 22, 2024, 9:15 a.m.
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| getdata.DN | R Documentation |
Extract dataset from a model object
Description
getdata.DN extracts dataset that was used to produce the model object (supported in DynNom).
Usage
getdata.DN(model)
Arguments
model |
an |
Value
A data.frame containing the dataset used in the fitted model object.
See Also
DynNom, DNbuilder
Examples
fit1 <- glm(Survived ~ Age + Class + Sex, data = as.data.frame(Titanic),
weights = Freq, family = binomial("probit"))
getdata.DN(fit1)
library(survival)
fit2 <- coxph(Surv(time, status) ~ age + strata(sex) + ph.ecog, data = lung)
getdata.DN(fit2)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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