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.

### 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.

### See Also

`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 1.2-9 Index]