BIB.test {agricolae} R Documentation

## Finding the Variance Analysis of the Balanced Incomplete Block Design

### Description

Analysis of variance BIB and comparison mean adjusted.

### Usage

BIB.test(block, trt, y, test = c("lsd","tukey","duncan","waller","snk"),
alpha = 0.05, group = TRUE,console=FALSE)



### Arguments

 block blocks trt Treatment y Response test Comparison treatments alpha Significant test group logical console logical, print output

### Details

Test of comparison treatment. lsd: Least significant difference. tukey: Honestly significant differente. duncan: Duncan's new multiple range test waller: Waller-Duncan test. snk: Student-Newman-Keuls (SNK)

### Value

 parameters Design parameters statistics Statistics of the model comparison Comparison between treatments means Adjusted mean and statistics summary groups Grouping of treatments

F. de Mendiburu

### References

Design of Experiments. Robert O. Kuehl. 2nd ed., Duxbury, 2000 Linear Estimation and Design of Experiments. D.D. Joshi. WILEY EASTERN LIMITED 1987, New Delhi, India. Introduction to experimental statistics. Ching Chun Li McGraw - Hill Book Company, Inc. New York. 1964

DAU.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)
# Example Design of Experiments. Robert O. Kuehl. 2da. Edicion. 2001
run<-gl(10,3)
psi<-c(250,325,475,250,475,550,325,400,550,400,475,550,325,475,550,
250,400,475,250,325,400,250,400,550,250,325,550,325,400,475)
monovinyl<-c(16,18,32,19,46,45,26,39,61,21,35,55,19,47,48,20,33,31,13,13,34,21,
30,52,24,10,50,24,31,37)
out<-BIB.test(run,psi,monovinyl,test="waller",group=FALSE)
print(out)
bar.err(out$means,variation="range",ylim=c(0,60),bar=FALSE,col=0) out<-BIB.test(run,psi,monovinyl,test="waller",group=TRUE) out<-BIB.test(run,psi,monovinyl,test="tukey",group=TRUE,console=TRUE) out<-BIB.test(run,psi,monovinyl,test="tukey",group=FALSE,console=TRUE) rm(run,psi,monovinyl,out) # Example linear estimation and design of experiments. D.D. Joshi. 1987 # Professor of Statistics, Institute of Social Sciences Agra, India # 6 varieties of wheat crop in a BIB whit 10 blocks of 3 plots each. y <-c(69,77,72,63,70,54,65,65,57,59,50,45,68,75,59,38,60,60,62, 55,54,65,62,65,61,39,54,67,63,56) varieties<-gl(6,5) block <- c(1,2,3,4,5,1,2,6,7,8,1,3,6,9,10,2,4,7,9,10,3,5,7,8,9,4,5,6,8,10) BIB.test(block, varieties, y) # Example Introduction to experimental statistics. Ching Chun Li. 1964 # pag. 395 table. 27.2 # 7 trt, k=3 and b=7. y <-c(10,15,11,4,12,15,5,14,10,14,19,19,8,10,17,6,11,12,5,14,21) block<-gl(7,3) trt <- c(1,2,4,2,3,5,3,4,6,4,5,7,1,5,6,2,6,7,1,3,7) out<-BIB.test(block, trt, y, test="duncan") bar.group(out$groups,col="blue",density=4,ylim=c(0,max(y)))
rm(y,block,trt,out)


[Package agricolae version 1.3-7 Index]