repo.spld: Automatic report for a split plot design

In reyzaguirre/pepa: Package for the Execution of Pre Cooked Analysis

Automatic report for a split plot design

Description

Produces an automatic report for selected traits in an experiment with a split-plot or a split-split-plot design.

Usage

repo.spld(
  traits,
  mpf,
  spf,
  sspf = NULL,
  rep,
  dfr,
  pe = FALSE,
  title = NULL,
  subtitle = NULL,
  author = "International Potato Center",
  format = c("html", "word", "pdf")
)

Arguments

traits	The traits to analize.
mpf	The main plots factor.
spf	The sub plots factor.
sspf	The sub sub plot factor (if any).
rep	The replications.
dfr	The name of the data frame.
pe	Logical. If "pe = TRUE" multiple comparison tests for principal effects are included even if interaction is significat, only in the case of 2 factors. Default to "pe = FALSE".
title	Report title.
subtitle	Report subtitle.
author	Report author.
format	The output file format for the report, "html" by default. Other options are "word" and "pdf".

Details

It fits a linear model for a split-plot or a split-split-plot design and explains the results.

Value

It returns an explanation about the split-plot or a split-split-plot design fitted model.

Author(s)

Raul Eyzaguirre.

Examples

# Create designs
mpf <- paste0("mpf", 1:2)
spf <- paste0("spf", 1:3)
sspf <- paste0("sspf", 1:4)
d1 <- cr.spld(c("mpf", "spf"), list(mpf, spf), 3)$book
d2 <- cr.spld(c("mpf", "spf", "sspf"), list(mpf, spf, sspf), 2)$book
# Some random data
d1$yield <- rnorm(18, 10)
d2$yield <- rnorm(48, 10)
# Fit models
repo.spld("yield", "mpf", "spf", NULL, "block", d1)
repo.spld("yield", "mpf", "spf", "sspf", "block", d2)

reyzaguirre/pepa documentation built on April 20, 2024, 3:50 a.m.