simulate_SSPD3_data: Simulate Split-Split-Plot Experimental Design
In modeldiagramR: Generate Model Diagrams for Linear Mixed Effect Models

simulate_SSPD3_data

R Documentation

Simulate Split-Split-Plot Experimental Design

simulate_SSPD3_data() creates the data in the SSPD3 example data set. Specifically, it creates data according to the following format:

simulate_SSPD3_data()

A data.frame with 120 observations on 13 variables:

ID: Observation/split-split-plot identification number, numeric
LOCATION: One of three locations "A", "B", and "C", a blocking variable, categorical
PLOT: Plot identification variable, one for each location and whole plot combination, numeric
REP: Replication number, all 1 as there was no replication, integer
WHOLE_PLOT: Treatment, whether or not the plot was irrigated "IRR_NO" for not irrigated and "IRR_YES" for irrigated, categorical
SPLIT_PLOT: Treatment, fungicide applied to split-plot, 4 fungicides and one control, "Fung1", ..., "Fung4", and "NFung", categorical
SPLIT_SPLIT_PLOT: Treatment, variety of bean seeded in split-split-plot, 4 varieties, "Beans1", ..., "Beans4", categorical
TRT_COMB: Treatments combined over WHOLE_PLOT, SPLIT_PLOT, and SPLIT_SPLIT_PLOT
RESP: Simulated response, not based on a meaningful input values, numeric
LocationF: Factor version of LOCATION
Irrigation: Factor version of WHOLE_PLOT treatment
Fungicide: Factor version of SPLIT_PLOT treatment
Variety: Factor version of SPLIT_SPLIT_PLOT treatment

Murillo D, Gezan S (2024). FielDHub: A Shiny App for Design of Experiments in Life Sciences. R package version 1.4.2, https://CRAN.R-project.org/package=FielDHub.