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add jurowski.wheat.uniformity
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kwstat committed Apr 4, 2024
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44 changes: 36 additions & 8 deletions NEWS.md
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* haritonenko.sugarbeet.uniformity
* jegorow.oats.uniformity
* jurowski.wheat.uniformity
* roemer.sugarbeet.uniformity
* tulaikow.wheat.uniformity

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## New datasets added

arankacami.groundnut.uniformity, barrero.maize, buntaran.wheat, gomez.heterogeneity, grover.diallel, grover.rcb.subsample, hadasch.lettuce, hadasch.lettuce.markers, jones.corn.uniformity, petersen.sorghum.cowpea, woodman.pig
* arankacami.groundnut.uniformity
* barrero.maize
* buntaran.wheat
* gomez.heterogeneity
* grover.diallel
* grover.rcb.subsample
* hadasch.lettuce
* hadasch.lettuce.markers
* jones.corn.uniformity
* petersen.sorghum.cowpea
* woodman.pig

## Other notes

Expand All @@ -98,8 +109,10 @@ arankacami.groundnut.uniformity, barrero.maize, buntaran.wheat, gomez.heterogene

## New datasets added

damesa.maize, jayaraman.bamboo, nair.turmeric.uniformity, shafi.tomato.uniformity

* damesa.maize
* jayaraman.bamboo
* nair.turmeric.uniformity
* shafi.tomato.uniformity


# agridat 1.17 (2020-08-03)
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## New datasets added

cochran.beets, cochran.lattice, jansen.apple, jansen.carrot

* cochran.beets
* cochran.lattice
* jansen.apple
* jansen.carrot


# agridat 1.11 (2015-03-03)

## New datasets added

besag.beans, besag.triticale, burgeuno.alpha, burgueno.rowcol, burgueno.unreplicated, steptoe.morex.pheno
* besag.beans
* besag.triticale
* burgeuno.alpha
* burgueno.rowcol
* burgueno.unreplicated
* steptoe.morex.pheno

## Other

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## New datasets added

brandle.rape, salmon.bunt
* brandle.rape
* salmon.bunt



# agridat 1.7 (2013-09-06)

## New datasets added

baker.barley.uniformity, bliss.borers, bond.diallel, harris.wateruse, hayman.tobacco, holshouser.splitstrip, pearce.apple, waynick.soil
* baker.barley.uniformity
* bliss.borers
* bond.diallel
* harris.wateruse
* hayman.tobacco
* holshouser.splitstrip
* pearce.apple
* waynick.soil



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18 changes: 18 additions & 0 deletions data-raw/jurowksi.wheat.uniformity.R
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# jurowski.wheat.uniformity.R

libs(desplot,dplyr,kw,lattice,magrittr,readxl,readr,reshape2,tibble)

setwd("c:/drop/rpack/agridat/data-raw/")
dat <- read_csv("jurowksi.wheat.uniformity.csv", col_names=FALSE)

dat %<>% as.matrix %>% `colnames<-`(1:ncol(dat)) %>% melt %>% rename(row=Var1,col=Var2,yield=value)

head(dat)

jurowski.wheat.uniformity = dat
kw::agex(jurowski.wheat.uniformity)

libs(desplot)
desplot(dat, yield~col*row,
aspect=10/24, flip=TRUE, tick=TRUE,
main="jurowski.wheat.uniformity")
40 changes: 40 additions & 0 deletions data-raw/jurowksi.wheat.uniformity.csv
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