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-rw-r--r--man/inverse.predict.Rd13
1 files changed, 8 insertions, 5 deletions
diff --git a/man/inverse.predict.Rd b/man/inverse.predict.Rd
index d773e58..8c2be9c 100644
--- a/man/inverse.predict.Rd
+++ b/man/inverse.predict.Rd
@@ -4,9 +4,8 @@
\alias{inverse.predict.rlm}
\alias{inverse.predict.default}
\title{Predict x from y for a linear calibration}
-\usage{inverse.predict(object, newdata,
- ws = ifelse(length(object$weights) > 0, mean(object$weights), 1),
- alpha=0.05, ss = "auto")
+\usage{inverse.predict(object, newdata, \dots,
+ ws, alpha=0.05, ss = "auto")
}
\arguments{
\item{object}{
@@ -17,12 +16,16 @@
\item{newdata}{
A vector of observed y values for one sample.
}
+ \item{\dots}{
+ Placeholder for further arguments that might be needed by
+ future implementations.
+ }
\item{ws}{
The weight attributed to the sample. The default is to take the
mean of the weights in the model, if there are any.
}
\item{alpha}{
- The confidence level for the confidence interval to be reported.
+ The error tolerance level for the confidence interval to be reported.
}
\item{ss}{
The estimated standard error of the sample measurements. The
@@ -62,6 +65,6 @@ w <- round(1/(s^2),digits=3)
weights <- w[factor(x)]
m <- lm(y ~ x,w=weights)
-inverse.predict(m,c(15))
+inverse.predict(m,15,ws = 1.67)
}
\keyword{manip}

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