rooting: Rooting (success/failure) of plants in a 3-factorial field...

In pairwiseCI: Confidence Intervals for Two Sample Comparisons

Description

Part of an experiment on propagation of plant genera Acer and Pyrus. Cuttings were taken from motherplants of age 5 and age 20, from top or base, and were treated with 0, 0.5 and 2 percent IBA to induce rooting. Treatments were arranged in a completely randomized design, among other variables, the number of cuttings with and without roots was recorded.

Usage

data(rooting)

Format

A data frame with 48 observations on the following 6 variables.

Age

a numeric vector: age of mother plants

Position

a factor with levels B and T, for "base" and "top" cuttings

IBA

a numeric vector, specifying the concentration of IBA

Rep

a numeric vector, number of replication

root

a numeric vector, number of cuttings with successfull rooting, out of 12 trials

noroot

a numeric vector, number of cuttings showing no rooting, out of 12 trials

Source

Data taken from Msc thesis by Dawit Mamushet Yifru, Institute of Floriculture, Tree Nursery Science and Plant Breeding, University of Hannover, 2005.

Examples

data(rooting)

rooting$IBAf<-as.factor(rooting$IBA)
rooting$Rep<-as.factor(rooting$Rep)

fitB<-glm(cbind(root,noroot)~Rep+(Age + Position + IBA)^2,
 data=rooting, family=binomial)

fitQB<-glm(cbind(root,noroot)~Rep+(Age + Position + IBA)^2,
 data=rooting, family=quasibinomial)

summary(fitB)
summary(fitQB)

anova(fitB, test="Chisq")
anova(fitQB, test="F")

pairwiseCI documentation built on May 1, 2019, 6:51 p.m.