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authorranke <ranke@5fad18fb-23f0-0310-ab10-e59a3bee62b4>2015-08-22 09:03:10 +0000
committerranke <ranke@5fad18fb-23f0-0310-ab10-e59a3bee62b4>2015-08-22 09:03:10 +0000
commitd8d6012e98fb4c7f158bcc7c173407c2b5f3e42e (patch)
tree92bcbbc548431b214fb387e20dc423745b2ab897 /branches/0.1/chemCal/R/loq.R
parent2be973ef45816e04a6a59f59a4fae50f8f17a5e1 (diff)
Get rid of the branched svn layout I never used
git-svn-id: http://kriemhild.uft.uni-bremen.de/svn/chemCal@36 5fad18fb-23f0-0310-ab10-e59a3bee62b4
Diffstat (limited to 'branches/0.1/chemCal/R/loq.R')
-rw-r--r--branches/0.1/chemCal/R/loq.R41
1 files changed, 0 insertions, 41 deletions
diff --git a/branches/0.1/chemCal/R/loq.R b/branches/0.1/chemCal/R/loq.R
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--- a/branches/0.1/chemCal/R/loq.R
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@@ -1,41 +0,0 @@
-loq <- function(object, ..., alpha = 0.05, k = 3, n = 1, w.loq = "auto",
- var.loq = "auto", tol = "default")
-{
- UseMethod("loq")
-}
-
-loq.default <- function(object, ..., alpha = 0.05, k = 3, n = 1, w.loq = "auto",
- var.loq = "auto", tol = "default")
-{
- stop("loq is only implemented for univariate lm objects.")
-}
-
-loq.lm <- function(object, ..., alpha = 0.05, k = 3, n = 1, w.loq = "auto",
- var.loq = "auto", tol = "default")
-{
- if (length(object$weights) > 0 && var.loq == "auto" && w.loq == "auto") {
- stop(paste("If you are using a model from weighted regression,",
- "you need to specify a reasonable approximation for the",
- "weight (w.loq) or the variance (var.loq) at the",
- "limit of quantification"))
- }
- xname <- names(object$model)[[2]]
- xvalues <- object$model[[2]]
- yname <- names(object$model)[[1]]
- f <- function(x) {
- newdata <- data.frame(x = x)
- names(newdata) <- xname
- y <- predict(object, newdata)
- p <- inverse.predict(object, rep(y, n), ws = w.loq,
- var.s = var.loq, alpha = alpha)
- (p[["Prediction"]] - k * p[["Confidence"]])^2
- }
- if (tol == "default") tol = min(xvalues[xvalues !=0]) / 1000
- loq.x <- optimize(f, interval = c(0, max(xvalues) * 10), tol = tol)$minimum
- newdata <- data.frame(x = loq.x)
- names(newdata) <- xname
- loq.y <- predict(object, newdata)
- loq <- list(loq.x, loq.y)
- names(loq) <- c(xname, yname)
- return(loq)
-}

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