Reposting the same message is not making it any easier for your audience
to understand.
You need to tell us what you mean by your subject line and 'jackknife
reclassification'. Given these are far from standard terms, either you
mean something else (and 'jackknife' is very frequently misused for 'leave
one out cross-validation) or it is likely that you will need to code the
method yourself.
On Wed, 28 Mar 2007, [EMAIL PROTECTED] wrote:
Dear all
I have used the lda and predict functions to classify a set of objects
of unknown origin. I would like to use a jackknife reclassification to
assess the degree to which the outcomes deviate from that expected by
chance. However, I can't find any function that allows me to do this.
Any suggestions of how to generate the jackknife reclassification to
assess classification accuracy? (BTW, commands I used to generate
predictions appended below.)
Many thanks
Mat Vanderklift
library(MASS)
Sep04 <- read.table("Sep04 dataframe2.txt", header=TRUE)
trainSep04 <- Sep04[1:125,]
Sep04.lda <- lda(Reef ~ ., trainSep04)
Sep04.lda
predict.Sep04 <- predict(Sep04.lda, Sep04) $class
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--
Brian D. Ripley, [EMAIL PROTECTED]
Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel: +44 1865 272861 (self)
1 South Parks Road, +44 1865 272866 (PA)
Oxford OX1 3TG, UK Fax: +44 1865 272595
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and provide commented, minimal, self-contained, reproducible code.
