R Dataset / Package DAAG / kiwishade


On this R-data statistics page, you will find information about the kiwishade data set which pertains to Kiwi Shading Data. The kiwishade data set is found in the DAAG R package. You can load the kiwishade data set in R by issuing the following command at the console data("kiwishade"). This will load the data into a variable called kiwishade. If R says the kiwishade 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. 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 kiwishade R data set. The size of this file is about 1,826 bytes.

Kiwi Shading Data


The kiwishade data frame has 48 rows and 4 columns. The data are from a designed experiment that compared different kiwifruit shading treatments. There are four vines in each plot, and four plots (one for each of four treatments: none, Aug2Dec, Dec2Feb, and Feb2May) in each of three blocks (locations: west, north, east). Each plot has the same number of vines, each block has the same number of plots, with each treatment occurring the same number of times.




This data frame contains the following columns:


Total yield (in kg)


a factor with levels east.Aug2Dec, east.Dec2Feb, east.Feb2May, east.none, north.Aug2Dec, north.Dec2Feb, north.Feb2May, north.none, west.Aug2Dec, west.Dec2Feb, west.Feb2May, west.none


a factor indicating the location of the plot with levels east, north, west


a factor representing the period for which the experimenter placed shading over the vines; with levels: none no shading, Aug2Dec August - December, Dec2Feb December - February, Feb2May February - May


The northernmost plots were grouped together because they were similarly affected by shading from the sun in the north. For the remaining two blocks shelter effects, whether from the west or from the east, were thought more important.


Snelgar, W.P., Manson. P.J., Martin, P.J. 1992. Influence of time of shading on flowering and yield of kiwifruit vines. Journal of Horticultural Science 67: 481-487.


Maindonald J H 1992. Statistical design, analysis and presentation issues. New Zealand Journal of Agricultural Research 35: 121-141.


print("Data Summary - Example 2.2.1")
kiwimeans <- aggregate(yield, by=list(block, shade), mean)
names(kiwimeans) <- c("block","shade","meanyield")kiwimeans[1:4,]
pause()print("Multilevel Design - Example 9.3")
kiwishade.aov <- aov(yield ~ shade+Error(block/shade),data=kiwishade)
sapply(split(yield, shade), mean)pause()kiwi.table <- t(sapply(split(yield, plot), as.vector))
kiwi.means <- sapply(split(yield, plot), mean)
kiwi.means.table <- matrix(rep(kiwi.means,4), nrow=12, ncol=4)
kiwi.summary <- data.frame(kiwi.means, kiwi.table-kiwi.means.table)
names(kiwi.summary)<- c("Mean", "Vine 1", "Vine 2", "Vine 3", "Vine 4")
mean(kiwi.means) # the grand mean (only for balanced design)if(require(lme4, quietly=TRUE)) {
kiwishade.lmer <- lmer(yield ~ shade + (1|block) + (1|block:plot),
## block:shade is an alternative to block:plotkiwishade.lmer
##                  Residuals and estimated effects
xyplot(residuals(kiwishade.lmer) ~ fitted(kiwishade.lmer)|block,
                data=kiwishade, groups=shade,
                layout=c(3,1), par.strip.text=list(cex=1.0),
                xlab="Fitted values (Treatment + block + plot effects)",
                ylab="Residuals", pch=1:4, grid=TRUE,
                scales=list(x=list(alternating=FALSE), tck=0.5),
                key=list(space="top", points=list(pch=1:4),
ploteff <- ranef(kiwishade.lmer, drop=TRUE)[[1]]
qqmath(ploteff, xlab="Normal quantiles", ylab="Plot effect estimates",

Dataset imported from https://www.r-project.org.

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Attachment Size
dataset-83216.csv 1.78 KB
Dataset License
GNU General Public License v2.0
Documentation License
GNU General Public License v2.0

This documentation is licensed under GPLv3 or later.