| designRaster {rPAex} | R Documentation |
Experimental Design on a Raster Image
Description
It uses a design generated by the agricolae package in a raster image.
Usage
designRaster(R,book)
Arguments
R |
output object imageField |
book |
function output field book design.* agricolae |
Details
The R object contains the following information: pixel coordinates and image layer information.
The outDesign object is generated by the design functions of the agricolae package
Value
design |
The matrix R of the image with the experimental design information |
rasterField |
the R matrix of the image with the information of the bands and the characteristics of the experimental design |
Author(s)
Felipe de Mendiburu
References
Felipe de Mendiburu (2019). agricolae: Statistical Procedures for Agricultural Research. R package version 1.3-1. http://tarwi.lamolina.edu.pe/~fmendiburu\
Kwanchai A. Gomez, Arturo A. Gomez (1984). Statistical Procedures for Agricultural Research. John Wiley & Sons, new York.
See Also
Examples
# alpha design with 12 treatments
library(rPAex)
# r = simulated raster image data
prg1 <- system.file("examples/Ex-01.R", package="rPAex")
source(prg1)
r<-data1()
# Alpha design, r-raster image
trt<-1:12
t <- length(trt)
# size block k
k<-3
# Blocks s
s<-t/k
# replications r =2
outdesign<- agricolae::design.alpha(trt,k=3,r=2,serie=1)
r1<-subset(outdesign$book, replication==1)
r2<-subset(outdesign$book, replication==2)
#--------
#x11()
op<-par(mar=c(2,2,3,2),cex=0.8)
terra::image(r,main="alpha design in the image
with the distribution of treatments",col=col2rgb(10),axes=FALSE)
axis(1); axis(2,seq(0,100,20))
#P<-locator(3)
p1<-list(x=c(4.27, 35.42, 47.49),y=c(68.12, 70.82, 23.63))
q1<-fourPoint(p1)
p2<-list(x=c(50.27, 81.42, 93.49),y=c(68.12, 70.82, 23.63))
q2<-fourPoint(p2)
polygon(q1,lwd=3,lty=2,border=colors()[51])
polygon(q2,lwd=3,lty=2,border=colors()[51])
R1<-imageField(r, Q=q1, ny=4, nx=3, dy=10, dx=9,col=colors()[18])
R2<-imageField(r, Q=q2, ny=4, nx=3, dy=10, dx=9,col=colors()[18])
q1<-designRaster(R=R1$Qbase,book=r1)$design
q2<-designRaster(R=R2$Qbase,book=r2)$design
text(q1[,6],q1[,7],q1[,4])
text(q2[,6],q2[,7],q2[,4])
par(op)