# ryder.groundnut: RCB experiment of groundut, wet and dry yields In agridat: Agricultural Datasets

## Description

RCB experiment of groundut, wet and dry yields

## Format

A data frame with 24 observations on the following 6 variables.

`block`

block

`row`

row

`col`

column

`gen`

genotype factor

`wet`

wet yield, kg/plot

`dry`

dry yield, kg/plot

## Details

Ryder (1981) uses this data to discuss the importance of looking at the field plan for an experiment. Based on analysis of the residuals, he suggests that varieties A and B in block 3 may have had their data swapped.

## Source

K. Ryder (1981). Field plans: why the biometrician finds them useful, Experimental Agriculture, 17, 243–256.

https://doi.org/10.1017/S0014479700011601

## Examples

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32``` ```## Not run: library(agridat) data(ryder.groundnut) dat <- ryder.groundnut # RCB model m1 <- lm(dry~block+gen,dat) dat\$res1 <- resid(m1) # Table 3 of Ryder. Scale up from kg/plot to kg/ha round(dat\$res1 * 596.6,0) # Visually. Note largest positive/negative residuals are adjacent libs(desplot) desplot(dat, res1 ~ col + row, text=gen, # aspect unknown main="ryder.groundnut - residuals") libs(desplot) # Swap the dry yields for two plots and re-analyze dat[dat\$block=="B3" & dat\$gen=="A", "dry"] <- 2.8 dat[dat\$block=="B3" & dat\$gen=="B", "dry"] <- 1.4 m2 <- lm(dry~block+gen, dat) dat\$res2 <- resid(m2) desplot(dat, res2 ~ col+row, # aspect unknown text=gen, main="ryder.groundnut") ## End(Not run) ```

agridat documentation built on Dec. 20, 2021, 9:07 a.m.