goulden.barley.uniformity: Uniformity trial of barley

In agridat: Agricultural Datasets

Uniformity trial of barley

Description

Uniformity trial of barley in Canada

Format

A data frame with 400 observations on the following 3 variables.

row

row

col

column

yield

yield, grams per plot

Details

Yield (in grams) of 2304 square-yard plots of barley grown in a field 48 yards on each side at Dominion Rust Research Laboratory (Manitoba, Canada) in 1931. The field was sown at half density in one direction, then half-density in a perpendicular direction.

In a letter from Goulden to Cochran, Goulden said: I had intended to use these yields for a study of the effect of systematic arrangements and also to measure the bias of semi-Latin squares...The correlation between adjacent pairs of plots is not high (0.5) and it was difficult to demonstrate the bias in a satisfactory manner.

Note: The data in Goulden (1939) are a subset of 20 rows and columns from one corner of the field in this full dataset.

Field width: 48 plots x 3 feet = 144 feet

Field length: 48 plots x 3 feet = 144 feet

This data was made available with special help from the staff at Rothamsted Research Library.

Source

Rothamsted Research Library, Box STATS17 WG Cochran, Folder 5.

References

C. H. Goulden, (1939). Methods of statistical analysis, 1st ed. Page 18. https://archive.org/stream/methodsofstatist031744mbp Note: This version is 20 plots x 20 plots.

Leonard, Warren and Andrew Clark (1939). Field Plot Technique. Page 39. https://archive.org/stream/fieldplottechniq00leon Note: This version is 20 plots x 20 plots.

Examples

## Not run: 

library(agridat)
data(goulden.barley.uniformity)
dat <- goulden.barley.uniformity

libs(desplot)
desplot(dat, yield ~ col*row,
        aspect=48/48, # true aspect
        main="goulden.barley.uniformity")

# Left skewed distribution. See LeClerg, Leonard, Clark
hist(dat$yield, main="goulden.barley.uniformity",
     breaks=c(21,40,59,78,97,116,135,154,173,192,211,230,249,268,287)+.5)


## End(Not run)  

agridat documentation built on Aug. 25, 2023, 5:18 p.m.