Skip to contents

Split-Plot Design with Two Factors in the Sub-Plot

Source: R/design_split_plot.R
anova_spd_c_main_ab_sub.Rd

Split-plot design where the main plots carry factor C and the sub-plots carry the factorial combination of two factors (A x B). C is tested against Error(a); A, B, A x B and every interaction with C against Error(b).

Usage

anova_spd_c_main_ab_sub(
  data,
  response,
  main_plot,
  sub_factor1,
  sub_factor2,
  replication,
  posthoc = "lsd",
  alpha = 0.05,
  verbose = TRUE
)

Arguments

data

Data frame containing the experimental data.

response

Name of the response variable.

main_plot

Main-plot factor (C).

sub_factor1

First sub-plot factor (A).

sub_factor2

Second sub-plot factor (B).

replication

Name of the replication column.

posthoc

Method for the letters (default "lsd").

alpha

Significance level. Default 0.05.

verbose

Logical. If TRUE (default), prints the report.

Value

An object of class aridagri_spd_cab; see anova_spd_ab_main for the components.

Author

Lalit Kumar Rolaniya, ICAR-IIPR, Bikaner

Examples

data <- expand.grid(rep = 1:3, irrigation = c("I1", "I2", "I3"),
                    variety = c("V1", "V2"),
                    nitrogen = c("N1", "N2", "N3", "N4"))
set.seed(4)
data$yield <- rnorm(nrow(data), 1200, 80)
res <- anova_spd_c_main_ab_sub(data, response = "yield",
                               main_plot = "irrigation",
                               sub_factor1 = "variety",
                               sub_factor2 = "nitrogen",
                               replication = "rep", verbose = FALSE)
res$anova_table
#>                             Df       Sum Sq    Mean Sq     F value    Pr(>F)
#> rep                          2     54.61507   27.30753 0.004381521 0.9956328
#> irrigation                   2  14472.46046 7236.23023 1.161060321 0.4003081
#> Error(a)                     4  24929.73052 6232.43263          NA        NA
#> variety                      1   3954.51513 3954.51513 0.621092119 0.4350673
#> nitrogen                     3  25498.37894 8499.45965 1.334916476 0.2758600
#> irrigation:variety           2  15359.07639 7679.53820 1.206140449 0.3095070
#> irrigation:nitrogen          6   6739.98293 1123.33049 0.176429142 0.9817802
#> variety:nitrogen             3   8110.32613 2703.44204 0.424599854 0.7363593
#> irrigation:variety:nitrogen  6   9890.70026 1648.45004 0.258903885 0.9528143
#> Error(b)                    42 267415.46114 6367.03479          NA        NA