libs(desplot,dplyr,kw,lattice,magrittr,readxl,readr,reshape2,tibble)
# ----------------------------------------------------------------------------
# multiple matrices
dat1 <- read_excel("data-raw/gorski.oats.uniformity.xlsx","one", col_names=FALSE) / 100
dat2 <- read_excel("data-raw/gorski.oats.uniformity.xlsx","two", col_names=FALSE) / 100
colnames(dat1) <- colnames(dat2) <- NULL
# typed as columns, so we need to transpose
dat1 <- t(dat1) %>% as.matrix()
dat2 <- t(dat2) %>% as.matrix()
dat1 %<>% melt %>% rename(row=Var1,col=Var2,yield=value) %>% mutate(field="F1")
dat2 %<>% melt %>% rename(row=Var1,col=Var2,yield=value) %>% mutate(field="F2")
dat <- dplyr::bind_rows(dat1, dat2)
head(dat)
gorski.oats.uniformity <- dat
kw::agex(gorski.oats.uniformity)
## ---------------------------------------------------------------------------
desplot(dat, yield~col*row, subset=field=="F1",
flip=TRUE, tick=TRUE, aspect=(20)/(10),
main="gorski.oats.uniformity - field F1")
desplot(dat, yield~col*row, subset=field=="F2",
flip=TRUE, tick=TRUE, aspect=(20)/(15),
main="gorski.oats.uniformity - field F2")
## ---------------------------------------------------------------------------
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