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### R code from vignette source 'modelObj.Rnw'
### Encoding: UTF-8
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### code chunk number 1: modelObj.Rnw:76-78
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library(modelObj)
object1 <- buildModelObj(model=~x1, solver.method='lm')
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### code chunk number 2: modelObj.Rnw:83-95
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mylm <- function(df,x){
obj <- list()
obj$lm <- lm(formula=x, data=df)
obj$var <- "does something neat"
class(obj) = "mylm"
return(obj)
}
predict.mylm <- function(data,obj,ty){
obj <- predict.lm(object=obj$lm, newdata=data, type=ty)
obj <- exp(obj)
return(obj)
}
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### code chunk number 3: modelObj.Rnw:99-105
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object2 <- buildModelObj(model=~x1,
solver.method='mylm',
solver.args=list('x'="formula", 'df'="data"),
predict.method='predict.mylm',
predict.args=list('obj'="object", 'data'="newdata",
ty='response'))
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### code chunk number 4: modelObj.Rnw:171-172
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summary(pressure)
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### code chunk number 5: modelObj.Rnw:176-191
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exampleFun <- function(modelObj, data, Y){
fitObj <- fit(modelObj, data, Y)
##Test that coef() is an available method
cfs <- try(coef(fitObj), silent=TRUE)
if(class(cfs) == 'try-error'){
warning("Provided regression method does not have a coef method.\n")
cfs <- NULL
}
fitted <- predict(fitObj)^2
return(list("fittedSq"=fitted, "coef"=cfs))
}
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### code chunk number 6: modelObj.Rnw:195-202
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ylog <- log(pressure$pressure)
objlm <- buildModelObj(model = ~temperature,
solver.method = "lm",
predict.method = "predict.lm",
predict.args = list("type"="response"))
fitObjlm <- exampleFun(objlm, pressure, ylog)
print(fitObjlm$coef)
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### code chunk number 7: modelObj.Rnw:206-213
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objnls <- buildModelObj(model = ~exp(a + b*temperature),
solver.method = "nls",
solver.args = list('start'=list(a=1, b=0.1)),
predict.method = "predict",
predict.args = list("type"="response"))
fitObjnls <- exampleFun(objnls, pressure, pressure$pressure)
print(fitObjnls$coef)
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### code chunk number 8: modelObj.Rnw:217-225
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objectnew <- buildModelObj(model = ~temperature,
solver.method = 'mylm',
solver.args=list('x'="formula", 'df'="data"),
predict.method='predict.mylm',
predict.args=list('obj'="object", 'data'="newdata",
ty='response'))
fitObjnew <- exampleFun(objectnew, pressure, ylog)
print(fitObjnew$coef)
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