agricolae (version 1.0-4)

PBIB.test: Analysis of the Partially Balanced Incomplete Block Design

Description

Analysis of variance PBIB and comparison mean adjusted. Applied to resoluble designs: Lattices and alpha design.

Usage

PBIB.test(block,trt,replication,y,k, method="lsd", alpha=0.05)

Arguments

block

blocks

trt

Treatment

replication

Replication

y

Response

k

size block

method

Comparison treatments

alpha

Significant test

Value

• block
  Vector, consecutive numbers by replication
• trt
  Vector
• replication
  Vector
• y
  numeric vector
• k
  numeric constant
• method
  Character
• alpha
  Numeric

Details

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

References

1. Iterative Analysis of Generalizad Lattice Designs. E.R. Williams (1977) Austral J. Statistics 19(1) 39-42. 2. Experimental design. Cochran and Cox. Second edition. Wiley Classics Library Edition published 1992

See Also

BIB.test, design.alpha

Examples

library(agricolae)
library(corpcor)
# alpha design 
trt<-1:30
ntr<-length(trt)
r<-2
k<-3
s<-10
obs<-ntr*r
b <- s*r
book<-design.alpha(trt,k,r,seed=5)
book[,3]<- gl(20,3)
# dataset
y<-c(5,2,7,6,4,9,7,6,7,9,6,2,1,1,3,2,4,6,7,9,8,7,6,4,3,2,2,1,1,2,
     1,1,2,4,5,6,7,8,6,5,4,3,1,1,2,5,4,2,7,6,6,5,6,4,5,7,6,5,5,4)
book<-data.frame(book,y=y)
rm(y,trt)
# analysis
attach(book)
model <- PBIB.test(block, trt, replication, y, k=3)
detach(book)
# model$comparison
# model$means