Displaying 3 results from an estimated 3 matches for "sep04".
2007 Mar 27
1
Jackknife estimates of predict.lda success rate
...ed 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) $class
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2007 Apr 02
0
Plots from lda and predict.lda
...tely -3 to +4, while
plot(predict.lda) yields values for the first linear discriminant in the
range approximately +4 to +10 (the commands follow). Could anybody suggest
what is happening here? (I can attach files with plots separately if
requested).
Regards
Mat Vanderklift
> library(MASS)
> Sep04 <- read.table("Sep04 dataframe.txt", header=TRUE)
> trainSep04 <- Sep04[1:125,]
> Sep04.lda <- lda(Reef ~ ., trainSep04, prior=c(1,1,1,1,1,1,1)/7)
> plot(Sep04.lda, dimen=2)
> predict.Sep04 <- predict(Sep04.lda, Sep04)
> plot(predict.Sep04$x[1:125,], main="...
2007 Mar 01
0
Reshape data
...[22] "JAN04" "FEB04" "MAR04"
[25] "APR04" "MAY04" "JUN04"
[28] "JUL04" "AUG04" "SEP04"
[31] "OCT04"
Trying the following code on this set produces an error
Ccall<-reshape(Ccalls, idvar = "TERRITORY, timevar = "MONTH",
v.names = list(c("TERRITORY","REGION","ACTIVITY_TYPE","CONTACT_TYPE...