# kotowski.potato.uniformity.R
libs(desplot,dplyr,kw,lattice,magrittr,readxl,readr,reshape2,tibble)
dat1 <- read_excel("data-raw/kotowski.potato.uniformity.xlsx","field1yield", col_names=FALSE) / 10
dat2 <- read_excel("data-raw/kotowski.potato.uniformity.xlsx","field1starch", col_names=FALSE) / 10
dat3 <- read_excel("data-raw/kotowski.potato.uniformity.xlsx","field2yield", col_names=FALSE) / 10
dat4 <- read_excel("data-raw/kotowski.potato.uniformity.xlsx","field2starch", col_names=FALSE) / 10
# multiple matrices
dat1 %<>% as.matrix %>% `colnames<-`(1:ncol(dat1)) %>% melt %>% rename(row=Var1,col=Var2,yield=value) %>% mutate(field="F1")
dat3 %<>% as.matrix %>% `colnames<-`(1:ncol(dat3)) %>% melt %>% rename(row=Var1,col=Var2,yield=value) %>% mutate(field="F2")
dat2 %<>% as.matrix %>% `colnames<-`(1:ncol(dat2)) %>% melt %>% rename(row=Var1,col=Var2,starch=value) %>% mutate(field="F1")
dat4 %<>% as.matrix %>% `colnames<-`(1:ncol(dat4)) %>% melt %>% rename(row=Var1,col=Var2,starch=value) %>% mutate(field="F2")
dat13 <- dplyr::bind_rows(dat1, dat3)
dat24 <- dplyr::bind_rows(dat2, dat4)
dat <- select(dat13, field, row, col, yield)
dat <- cbind(dat, select(dat24, starch))
## ---------------------------------------------------------------------------
kotowski.potato.uniformity <- dat
kw::agex(kotowski.potato.uniformity)
libs(desplot)
desplot(dat, yield~col*row|field, subset=field=="F1",
tick=TRUE, flip=TRUE,
aspect=(4*10)/(12*2.5),
main="kotowski.potato.uniformity - yield, field F1")
desplot(dat, yield~col*row|field, subset=field=="F2",
tick=TRUE, flip=TRUE,
aspect=(4*10)/(26*2.5),
main="kotowski.potato.uniformity - yield, field F2")
desplot(dat, starch~col*row|field, subset=field=="F1",
tick=TRUE, flip=TRUE,
aspect=(4*10)/(12*2.5),
main="kotowski.potato.uniformity - starch, field F1")
desplot(dat, starch~col*row|field, subset=field=="F2",
tick=TRUE, flip=TRUE,
aspect=(4*10)/(26*2.5),
main="kotowski.potato.uniformity - starch, field F2")
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