Data of a field trial concerning the impact of a genetically modified variety on the abundance of Planthoppers and Leafhoppers.
The trial was designed as a randomized complete block design with 8 blocks (Row). In each block, three treatments
were randomized: a conventional variety treated with insecticides (Insecticide), a genetically modified variety (GM),
and the near-isogenic line (Iso) the to genetically modified line. These data originate from the second year of the trial in Cica1.
Usage
data(Cica2)
Format
A data frame with 24 observations on the following 8 variables.
Field
a factor with 2 levels, 12, separating the two major sites of the trial. On field 1, the blocks 1-5 were situated, on field 2, blocks 6-8 were situated.
Row
a factor with 8 levels, specifying the blocks: R1R2R3R4R5R6R7R8
Year
a numeric vector, with value 2 for the second year
Treatment
a factor with 3 levels, specifying the genetically modified variety GM,
the conventional variety treated with insecticides Insecticide,
and the variety that was near-isogenic to the GM variety Iso
Au_Bonitur
counts of Auchenorryhncha by visual assessment
Zs_sweep_netting
counts of the major species Zyginidia scutellaris, catched by sweep nets
Zs_yellow_traps
counts of Zyginidia scutellaris, catched by yellow traps
Zs_stick_traps
counts of Zyginidia scutellaris, catched by sticky traps
Source
...
References
See Cica1 for data of the same trial a year earlier
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> library(BSagri)
Loading required package: gamlss
Loading required package: splines
Loading required package: gamlss.data
Loading required package: gamlss.dist
Loading required package: MASS
Loading required package: nlme
Loading required package: parallel
********** GAMLSS Version 4.4-0 **********
For more on GAMLSS look at http://www.gamlss.org/
Type gamlssNews() to see new features/changes/bug fixes.
Loading required package: multcomp
Loading required package: mvtnorm
Loading required package: survival
Attaching package: 'survival'
The following object is masked from 'package:gamlss.data':
leukemia
Loading required package: TH.data
Attaching package: 'TH.data'
The following object is masked from 'package:MASS':
geyser
Loading required package: MCPAN
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/BSagri/Cica2.Rd_%03d_medium.png", width=480, height=480)
> ### Name: Cica2
> ### Title: Catches of Planthoppers and Leafhoppers
> ### Aliases: Cica2
> ### Keywords: datasets
>
> ### ** Examples
>
> data(Cica2)
>
>
> # A comparison of the treatments:
>
> layout(matrix(1:4,ncol=4))
>
> ylim<-range(Cica2[,c("Au_Bonitur","Zs_sweep_netting", "Zs_yellow_traps", "Zs_stick_traps")])
>
> boxplot(Au_Bonitur ~ Treatment, data=Cica2,
+ main= "Aucherrhyncha, visual assessment", ylim=ylim, horizontal=TRUE, las=1)
>
> boxplot(Zs_sweep_netting ~ Treatment, data=Cica2,
+ main="Z.scutellaris, sweep netting", ylim=ylim, horizontal=TRUE, las=1)
>
> boxplot(Zs_yellow_traps ~ Treatment, data=Cica2,
+ main="Z.scutellaris, yellow traps", ylim=ylim, horizontal=TRUE, las=1)
>
> boxplot(Zs_stick_traps ~ Treatment, data=Cica2,
+ main="Z.scutellaris, sticky traps", ylim=ylim, horizontal=TRUE, las=1)
>
> # A comparison of sampling methods:
>
> pairs(Cica2[,c("Au_Bonitur","Zs_sweep_netting", "Zs_yellow_traps", "Zs_stick_traps")])
>
>
>
>
>
>
> dev.off()
null device
1
>