baker.strawberry.uniformity: Uniformity trial of strawberry

In agridat: Agricultural Datasets

Uniformity trial of strawberry

Description

Uniformity trial of strawberry

Usage

data("baker.strawberry.uniformity")

Format

A data frame with 700 observations on the following 4 variables.

trial

Factor for trial

row

row ordinate

col

column ordinate

yield

yield per plant/plot in grams

Details

Trial T1:

200 plants were grown in two double-row beds at Davis, California, in 1946. The rows were 1 foot apart. The beds were 42 inches apart. The plants were 10 inches apart within a row, each row consisting of 50 plants.

Field length: 50 plants * 10 inches = 500 inches.

Field width: 12 in + 42 in + 12 in = 66 inches.

The layout of the experiment in Table 1 shows 4 columns. There is 12 inches between column 1 and column 2, then 42 inches, then 12 inches between column 3 and column 4. For the data in this R package, we added 3 to the right two columns index values to indicate this layout. (Should be 3.5, but we want to have an integer).

Trial T2:

500 plants were grown in single beds. The beds were 30 inches apart. Each bed was 50 plants long with 10 inches between plants.

Field length: 50 plants * 10 in = 500 in.

Field width: 10 beds * 30 in = 300 in.

Source

G. A. Baker and R. E. Baker (1953). Strawberry Uniformity Yield Trials. Biometrics, 9, 412-421. https://doi.org/10.2307/3001713

References

None

Examples

## Not run: 

library(agridat)

data(baker.strawberry.uniformity)
dat <- baker.strawberry.uniformity

# Match mean and cv of Baker p 414.
libs(dplyr)
dat <- group_by(dat, trial)
summarize(dat, mn=mean(yield), cv=sd(yield)/mean(yield))

libs(desplot)
desplot(dat, yield ~ col*row, subset=trial=="T1",
        flip=TRUE, aspect=500/66, tick=TRUE,
        main="baker.strawberry.uniformity - trial T1")
desplot(dat, yield ~ col*row, subset=trial=="T2",
        flip=TRUE, aspect=500/300, tick=TRUE,
        main="baker.strawberry.uniformity - trial T2")


## End(Not run)

agridat documentation built on Oct. 27, 2024, 5:07 p.m.