Last data update: 2014.03.03

R: Catches of Planthoppers and Leafhoppers
Cica1R Documentation

Catches of Planthoppers and Leafhoppers

Description

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.

Usage

data(Cica1)

Format

A data frame with 24 observations on the following 6 variables.

Field

a factor with levels 1 2, 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:R1 R2 R3 R4 R5 R6 R7 R8

Year

a numeric vector, for year 1 of the trial

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

Source

...

Examples

data(Cica1)

layout(matrix(1:2,ncol=1))

ylim<-range(Cica1[,c("Au_Bonitur","Zs_sweep_netting")])

boxplot(Au_Bonitur ~ Treatment, data=Cica1,
 main= "Aucherrhyncha, visual assessment", ylim=ylim)

boxplot(Zs_sweep_netting ~ Treatment, data=Cica1,
 main="Z.scutellaris, sweep netting", ylim=ylim)


Results


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/Cica1.Rd_%03d_medium.png", width=480, height=480)
> ### Name: Cica1
> ### Title: Catches of Planthoppers and Leafhoppers
> ### Aliases: Cica1
> ### Keywords: datasets
> 
> ### ** Examples
> 
> data(Cica1)
> 
> layout(matrix(1:2,ncol=1))
> 
> ylim<-range(Cica1[,c("Au_Bonitur","Zs_sweep_netting")])
> 
> boxplot(Au_Bonitur ~ Treatment, data=Cica1,
+  main= "Aucherrhyncha, visual assessment", ylim=ylim)
> 
> boxplot(Zs_sweep_netting ~ Treatment, data=Cica1,
+  main="Z.scutellaris, sweep netting", ylim=ylim)
> 
> 
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>