DAU.test: Finding the Variance Analysis of the Augmented block Design
In agricolae: Statistical Procedures for Agricultural Research

DAU.test

R Documentation

Finding the Variance Analysis of the Augmented block Design

Description

Analysis of variance Augmented block and comparison mean adjusted.

Usage

DAU.test(block, trt, y, method = c("lsd","tukey"),alpha=0.05,group=TRUE,console=FALSE)

Arguments

`block`	blocks
`trt`	Treatment
`y`	Response
`method`	Comparison treatments
`alpha`	Significant test
`group`	TRUE or FALSE
`console`	logical, print output

Details

Method of comparison treatment. lsd: Least significant difference. tukey: Honestly significant differente. The controls can have different repetitions, at least two, do not use missing data.

Value

`means`	Statistical summary of the study variable
`parameters`	Design parameters
`statistics`	Statistics of the model
`comparison`	Comparison between treatments
`groups`	Formation of treatment groups
`SE.difference`	Standard error of: Two Control Treatments Two Augmented Treatments Two Augmented Treatments(Different Blocks) A Augmented Treatment and A Control Treatment
`vartau`	Variance-covariance matrix of the difference in treatments

Author(s)

F. de Mendiburu

References

Federer, W. T. (1956). Augmented (or hoonuiaku) designs. Hawaiian Planters, Record LV(2):191-208.

Examples

library(agricolae)
block<-c(rep("I",7),rep("II",6),rep("III",7))
trt<-c("A","B","C","D","g","k","l","A","B","C","D","e","i","A","B","C","D","f","h","j")
yield<-c(83,77,78,78,70,75,74,79,81,81,91,79,78,92,79,87,81,89,96,82)
out<- DAU.test(block,trt,yield,method="lsd", group=TRUE)
print(out$groups)
plot(out)

agricolae documentation built on Oct. 23, 2023, 1:06 a.m.