gomez.heteroskedastic: RCB in rice with heteroskedastic varieties

Description Usage Format Details Source References Examples

Description

RCB in rice with heteroskedastic varieties, 35 genotypes, 3 reps

Usage

1
data("gomez.heteroskedastic")

Format

A data frame with 105 observations on the following 4 variables.

gen

genotype

group

group of genotypes

rep

replicate

yield

yield

Details

RCB design with three reps. Genotypes 1-15 are hybrids, 16-32 are parents, 33-35 are checks.

Source

Gomez, K.A. and Gomez, A.A.. 1984, Statistical Procedures for Agricultural Research. Wiley-Interscience. Page 310.

Used with permission of Kwanchai Gomez.

References

None.

Examples

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
data(gomez.heteroskedastic)
dat <- gomez.heteroskedastic

# Fix the outlier as reported by Gomez p. 311
dat[dat$gen=="G17" & dat$rep=="R2","yield"] <- 7.58

if(require(lattice)){
  bwplot(gen ~ yield, dat, group=as.numeric(dat$group),
         ylab="genotype", main="gomez.heterogeneous")
}

# Match Gomez table 7.28
m1 <- lm(yield ~ rep + gen, data=dat)
anova(m1)
## Response: yield
##           Df Sum Sq Mean Sq F value    Pr(>F)    
## rep        2  3.306 1.65304  5.6164  0.005528 ** 
## gen       34 40.020 1.17705  3.9992 5.806e-07 ***
## Residuals 68 20.014 0.29432                      

agridat documentation built on May 2, 2019, 4:01 p.m.