DAAG (version 1.22)

leafshape17: Subset of Leaf Shape Data Set

Description

The leafshape17 data frame has 61 rows and 8 columns. These are leaf length, width and petiole measurements taken at several sites in Australia. This is a subset of the leafshape data frame.

Usage

leafshape17

Format

This data frame contains the following columns:

bladelen

leaf length (in mm)

petiole

a numeric vector

bladewid

leaf width (in mm)

latitude

latitude

logwid

natural logarithm of width

logpet

logarithm of petiole measurement

loglen

logarithm of length

arch

leaf architecture (0 = orthotropic, 1 = plagiotropic)

Examples

# NOT RUN {
print("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
# }

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