conjdic: Analysis: Joint analysis of experiments in completely...

In AgronomiaR/AgroR: Experimental Statistics and Graphics for Agricultural Sciences

Description

Function of the AgroR package for joint analysis of experiments conducted in a completely randomized design with a qualitative or quantitative factor with balanced data.

Usage

conjdic(
  trat,
  repet,
  local,
  response,
  transf = 1,
  norm = "sw",
  homog = "bt",
  mcomp = "tukey",
  quali = TRUE,
  alpha.f = 0.05,
  alpha.t = 0.05,
  grau = NA,
  theme = theme_classic(),
  ylab = "response",
  title = "",
  xlab = "",
  color = "rainbow",
  fill = "lightblue",
  angulo = 0,
  textsize = 12,
  dec = 3,
  family = "sans",
  errorbar = TRUE
)

Arguments

trat	Numerical or complex vector with treatments
repet	Numerical or complex vector with repetitions
local	Numeric or complex vector with locations or times
response	Numerical vector containing the response of the experiment.
transf	Applies data transformation (default is 1; for log consider 0)
norm	Error normality test (default is Shapiro-Wilk)
homog	Homogeneity test of variances (default is Bartlett)
mcomp	Multiple comparison test (Tukey (default), LSD, Scott-Knott and Duncan)
quali	Defines whether the factor is quantitative or qualitative (default is qualitative)
alpha.f	Level of significance of the F test (default is 0.05)
alpha.t	Significance level of the multiple comparison test (default is 0.05)
grau	Degree of polynomial in case of quantitative factor (default is 1)
theme	ggplot2 theme (default is theme_classic())
ylab	Variable response name (Accepts the expression() function)
title	Graph title
xlab	Treatments name (Accepts the expression() function)
color	When the columns are different colors (Set fill-in argument as "trat")
fill	Defines chart color (to generate different colors for different treatments, define fill = "trat")
angulo	x-axis scale text rotation
textsize	Font size
dec	Number of cells
family	Font family
errorbar	Plot the standard deviation bar on the graph (In the case of a segment and column graph) - default is TRUE

Value

Returns the assumptions of the analysis of variance, the assumption of the joint analysis by means of a QMres ratio matrix, the analysis of variance, the multiple comparison test or regression.

Note

The ordering of the graph is according to the sequence in which the factor levels are arranged in the data sheet. The bars of the column and segment graphs are standard deviation.

In the final output when transformation (transf argument) is different from 1, the columns resp and respo in the mean test are returned, indicating transformed and non-transformed mean, respectively.

Author(s)

Gabriel Danilo Shimizu, [e-mail]

Leandro Simoes Azeredo Goncalves

Rodrigo Yudi Palhaci Marubayashi

References

Ferreira, P. V. Estatistica experimental aplicada a agronomia. Edufal, 2018.

Principles and procedures of statistics a biometrical approach Steel, Torry and Dickey. Third Edition 1997

Multiple comparisons theory and methods. Departament of statistics the Ohio State University. USA, 1996. Jason C. Hsu. Chapman Hall/CRC.

Practical Nonparametrics Statistics. W.J. Conover, 1999

Ramalho M.A.P., Ferreira D.F., Oliveira A.C. 2000. Experimentacao em Genetica e Melhoramento de Plantas. Editora UFLA.

Scott R.J., Knott M. 1974. A cluster analysis method for grouping mans in the analysis of variance. Biometrics, 30, 507-512.

Examples

library(AgroR)
data(mirtilo)
with(mirtilo, conjdic(trat, bloco, exp, resp))

AgronomiaR/AgroR documentation built on Nov. 14, 2021, 12:10 a.m.