agricolae (version 1.2-8)

DAU.test: 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

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

Details

Method of comparison treatment. lsd: Least significant difference. tukey: Honestly significant differente.

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

# NOT RUN {
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)
# }