splityield: splityield: Yields in Response to Multiple Factors

In thoree/stat340: Data and functions for BIAS at NMBU

splityield: Yields in Response to Multiple Factors

Description

This data is from a designed field experiment on crop yield from plots of the field with combinations of three treatments: sowing density, irrigation, and fertilizer application.

Usage

splityield

Format

A data frame with 72 observations (rows) and 5 variables (columns).

	Column name	Data type	Description	Values
[,1]	yield	integer	Crop yield from each plot	(60 - 136)
[,2]	block	character	The main plots of the land	("A", "B", "C", "D")
[,3]	irrigation	character	Whether or not the plot received supplemental water	("control", "irrigated")
[,4]	density	character	The density when the seeds were sown	("low", "medium", "high")
[,5]	fertilizer	character	The type of fertilizer	("N", "P", "NP")

Details

The experimental design (explanation of how the land was split into smaller plots):

• The field was split into 4 blocks

• Each block was split in two: plots that were irrigated and not irrigated

• These plots were further split into three depending on the density when the seeds were sown

• Each density plots were finally split into three depending on the fertilizer used (Either Nitrogen, Phosphorus, or both)

This data set can be found in the R book (Ch. 19.4) where it is called yields.

Source

⁠The R book⁠, M.J. Crawley, Wiley, 2013 (Chapter 19.4).

References

Description and illustration of the experimental design can be found here

Examples

# First 10 rows of the data frame
head(splityield, n = 10)

# The seed-sowing densities
unique(splityield$density)

thoree/stat340 documentation built on June 30, 2024, 4:04 p.m.