Dear R-Help Members, I have built a classification function using a baseline data set, that contains the group variable and have used it to classify the test data set. I am now trying to get the classification table for the training and test data set and classification success using:
baseline.lda<-lda(Stock ~ LTT + LF + LFM + LPO + LH + LPV + LPA + LD + LA + DAC + HH + HP + ML + OD + TV02 + TV03 + TV04 + TV05 + TH01 + TH06 + TH07 + TH08 + TD02 + TD03 + TD05 + TD06 + TD08 + WGHT + WDTH + PERI + CIRC + A02 + A03 + A04 + A05 + A08 + A12 + A14 + A15 + A16 + A17 + A18 + A26 + A27 + A30 + B02 + B03 + B08 + B09 + B10 + B11 + B14 + B15 + B20 + B22 + B24 + B25 + B26 + B29 + B30 + C02 + C03 + C05 + C06 + C08 + C09 + C11 + C12 + C13 + C14 + C16 + C18 + C19 + C23 + C25 + C28 + C29 + D01 + D02 + D03 + D04 + D06 + D07 + D08 + D10 + D14 + D15 + D18 + D19 + D20 + D23,data=baseline.data.scaled) ypred.train <- predict(baseline.lda,baseline.data.scaled)$class ypred.test <- predict(baseline.lda,mixed.data.scaled)$class # Training error table(ypred.train , baseline.data.scaled$Stock) mean(ypred.train == baseline.data.scaled$Stock) # Test error table(ypred.test , baseline.data.scaled$Stock) mean(ypred.test == baseline.data.scaled$Stock) This works for the training set, but not the test data set, as the baseline data set is the only one that contains the grouping variable, but is not the same length as the test data set (1161 samples in the training set, 236 in the test set). Is there a way to construct a classification table from the test data predictions and get the classification error? Thank you! Melanie Zoelck ____________________________________________ Melanie Zölck (Zoelck) PhD Candidate Galway-Mayo Institute of Technology Marine and Freshwater Research Centre Commercial Fisheries Research Group Department of Life Science Dublin Road Galway Republic of Ireland Mobile: +353 (0) 85 7246196 Skype: melaniezoelck E-mail: mzoe...@gmx.com or mzoe...@hotmaill.com
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