# kgeisler.vine.uniformity.R
libs(desplot,dplyr,kw,lattice,magrittr,readxl,readr,reshape2,tibble)
setwd("c:/drop/rpack/agridat/data-raw/")
dat <- readr::read_csv("geisler.vine.uniformity.csv", col_names=FALSE)
dat %<>% as.matrix %>% `colnames<-`(1:ncol(dat)) %>% melt %>% rename(row=Var1,col=Var2,yield=value)
require(desplot)
desplot(dat, yield ~ col*row,
flip=TRUE, aspect=(104*1.33*7)/(4*22.5*7), ticks=TRUE,
main="geisler.vine.uniformity")
mean(dat$yield) # 43.98
var(dat$yield) # 26.54
geisler.vine.uniformity <- dat
agex(geisler.vine.uniformity)
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