data_eccleston: Data from Eccleston & Russell

In connected: Visualize and Improve Connectedness of Factors in Tables

Data from Eccleston & Russell

Description

Data from Eccleston & Russell

Usage

data_eccleston

Format

An object of class data.frame with 16 rows and 3 columns.

Details

A dataframe with 3 treatment factors. Each pair of factors is connected, but the 3 factors are disconnected. The 'trt' column uses numbers to match Eccleston (Table 1, Design 1) and letters to match Foulley (Table 13.3).

Source

Eccleston, J. and K. Russell (1975). Connectedness and orthogonality in multi-factor designs. Biometrika, 62, 341-345. https://doi.org/10.1093/biomet/62.2.341

References

Foulley, J. L., Bouix, J., Goffinet, B., & Elsen, J. M. (1990). Connectedness in Genetic Evaluation. Advanced Series in Agricultural Sciences, 277–308. https://doi.org/10.1007/978-3-642-74487-7_13

Examples

# Each pair of factors is connected
con_check(data_eccleston, ~ row + trt)
con_check(data_eccleston, ~ col + trt)
con_check(data_eccleston, ~ row + col)
# But all three factors are COMPLETELY disconnected
con_check(data_eccleston, ~ row + col + trt)

set.seed(42)
data_eccleston <- transform(data_eccleston,
  y = rnorm(nrow(data_eccleston), mean=100))
con_view(data_eccleston, y ~ row*col, xlab="row", ylab="col")
con_view(data_eccleston, y ~ row*trt, xlab="row", ylab="trt")
con_view(data_eccleston, y ~ col*trt, xlab="col", ylab="trt")

connected documentation built on April 12, 2025, 2:24 a.m.