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: |
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)