R Dataset / Package DAAG / leafshape17
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dataset-56989.csv | 4.77 KB |
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On this Picostat.com statistics page, you will find information about the leafshape17 data set which pertains to Subset of Leaf Shape Data Set. The leafshape17 data set is found in the DAAG R package. Try to load the leafshape17 data set in R by issuing the following command at the console data("leafshape17"). This may load the data into a variable called leafshape17. If R says the leafshape17 data set is not found, you can try installing the package by issuing this command install.packages("DAAG") and then attempt to reload the data with library("DAAG") followed by data("leafshape17"). Perhaps strangley, if R gives you no output after entering a command, it means the command succeeded. If it succeeded you can see the data by typing leafshape17 at the command-line which should display the entire dataset. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the leafshape17 R data set. The size of this file is about 4,883 bytes. Subset of Leaf Shape Data SetDescriptionThe Usageleafshape17 FormatThis data frame contains the following columns:
SourceKing, D.A. and Maindonald, J.H. 1999. Tree architecture in relation to leaf dimensions and tree stature in temperate and tropical rain forests. Journal of Ecology 87: 1012-1024. Examplesprint("Discriminant Analysis - Example 11.2")require(MASS) leaf17.lda <- lda(arch ~ logwid+loglen, data=leafshape17) leaf17.hat <- predict(leaf17.lda) leaf17.lda table(leafshape17$arch, leaf17.hat$class) pause()tab <- table(leafshape17$arch, leaf17.hat$class) sum(tab[row(tab)==col(tab)])/sum(tab) leaf17cv.lda <- lda(arch ~ logwid+loglen, data=leafshape17, CV=TRUE) tab <- table(leafshape17$arch, leaf17cv.lda$class) pause()leaf17.glm <- glm(arch ~ logwid + loglen, family=binomial, data=leafshape17) options(digits=3) summary(leaf17.glm)$coef pause()leaf17.one <- cv.binary(leaf17.glm) table(leafshape17$arch, round(leaf17.one$internal)) # Resubstitution pause()table(leafshape17$arch, round(leaf17.one$cv)) # Cross-validation -- Dataset imported from https://www.r-project.org. |
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