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### R code from vignette source 'modelObj.Rnw'
###################################################
### code chunk number 1: modelObj.Rnw:185-187
###################################################
library(modelObj)
object1 <- buildModelObj(model=~x1, solver.method='lm')
###################################################
### code chunk number 2: modelObj.Rnw:195-211
###################################################
mylm <- function(X,Y){
obj <- list()
obj$lm <- lm.fit(x=X, y=Y)
obj$var <- "does something neat"
class(obj) = "mylm"
return(obj)
}
predict.mylm <- function(obj,data=NULL){
if( is(data,"NULL") ) {
obj <- exp(obj$lm$fitted.values)
} else {
obj <- data %*% obj$lm$coefficients
obj <- exp(obj)
}
return(obj)
}
###################################################
### code chunk number 3: modelObj.Rnw:219-225
###################################################
object2 <- buildModelObj(model = ~x1,
solver.method = mylm,
solver.args = list('X' = "x", 'Y' = "y"),
predict.method = predict.mylm,
predict.args = list('obj' = "object",
'data' = "newdata"))
###################################################
### code chunk number 4: modelObj.Rnw:329-330
###################################################
summary(pressure)
###################################################
### code chunk number 5: modelObj.Rnw:339-354
###################################################
exampleFun <- function(modelObj, data, Y){
fitObj <- fit(object = modelObj, data = data, response = 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))
}
###################################################
### code chunk number 6: modelObj.Rnw:360-367
###################################################
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)
###################################################
### code chunk number 7: modelObj.Rnw:371-378
###################################################
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)
###################################################
### code chunk number 8: modelObj.Rnw:382-390
###################################################
objectnew <- buildModelObj(model = ~temperature,
solver.method = mylm,
solver.args = list('X' = "x", 'Y' = "y"),
predict.method = predict.mylm,
predict.args = list('obj'="object",
'data'="newdata"))
fitObjnew <- exampleFun(objectnew, pressure, ylog)
print(fitObjnew$coef)
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