DAU.test {agricolae} 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

F. de Mendiburu

### References

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

BIB.test, duncan.test, durbin.test, friedman, HSD.test, kruskal, LSD.test, Median.test, PBIB.test, REGW.test, scheffe.test, SNK.test, waerden.test, waller.test, plot.group

### 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)


[Package agricolae version 1.3-7 Index]