Nothing
"ED.lin" <- function(lmObject, respLev)
{
parCoef <- coef(lmObject)
lparco <- length(parCoef)
# yVal <- lmObject$"model"[, 1]
xVal <- lmObject$"model"[, 2]
fittedVal <- fitted(lmObject)
# maxDose <- max(xVal)
decreasing <- ((lparco == 2) && (parCoef[lparco] < 0)) || ((lparco == 3) && (parCoef[lparco] > 0))
# if (parCoef[lparco] < 0) # decreasing trend
if (decreasing)
{
cVal <- fittedVal[which.max(xVal)]
dVal <- fittedVal[which.min(xVal)]
} else {
cVal <- fittedVal[which.min(xVal)]
dVal <- fittedVal[which.max(xVal)]
# respLev <- 100 - respLev
}
## Truncating in case the lower limit is negative
cVal <- pmax(0, cVal)
#
# if (cVal < 0)
# {
# cVal <- 0 # as.numeric(polyroot(coef(lmObject)))
# }
# print(c(cVal, dVal))
## Defining apply() function to handle vector "respLev" arguments
if (lparco == 2)
{
if (!decreasing) {respLev <- 100 - respLev}
appFct <- function(respLev)
{
# deltaMethod(lmObject, paste("(", cVal, "-b0+", (100 - respLev)/(100), "*(", dVal - cVal, "))/b1", collapse = ""))
deltaMethod(lmObject, paste("(", cVal, "-b0+", (100 - respLev)/(100), "*(", dVal - cVal, "))/b1", collapse = ""),
parameterNames=c("b0", "b1"))
}
}
if (lparco == 3)
{
if (parCoef[3] < 0) {respLev <- 100 - respLev}
print(c(max(xVal), (-parCoef[2] / (2*parCoef[3]))))
## Deciding which leg of parabola
if ((-parCoef[2] / (2*parCoef[3])) > max(xVal) && (parCoef[3] < 0))
{
signVal <- 1
}
if ((-parCoef[2] / (2*parCoef[3])) > max(xVal) && (parCoef[3] < 0))
{
signVal <- 1
}
else {
signVal <- -1
}
## Deciding whether the parabola is a cap or a cup
if (parCoef[3] < 0)
{
decreasing <- 1
} else {
decreasing <- -1
}
signVal <- signVal * decreasing
# print(paste("(-b1+", signVal, "*sqrt(b1*b1 - 4*b2*(b0-", cVal + ((100 - respLev)/100) * (dVal - cVal), ")))/(2*b2)", collapse = ""))
appFct <- function(respLev)
{
deltaMethod(lmObject, paste("(-b1+", signVal, "*sqrt(b1*b1 - 4*b2*(b0-", cVal + ((100 - respLev)/100) * (dVal - cVal), ")))/(2*b2)",
collapse = ""))
}
}
t(sapply(respLev, appFct))
}
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