| stab.mean {genstab} | R Documentation |
Group means and ranks with resampling
Description
Group mean and rank calculation with two resampling techniques:permuation and bootstraping
Usage
stab.mean(Y, class, cls2 = NULL, resample, times = NULL, alpha = NULL)
Arguments
Y |
A matrix including One or more traits |
class |
A vector of the first factor for calculating variance. For example, a vector of genotypes. |
cls2 |
A vector of the second factor used within-group bootstraping for variance. It can be default |
resample |
Resampling technique option. resample="Boot" is for bootstrapping. resample="Perm" is for permutation. |
times |
Number of resampling used. The default number is 1000. |
alpha |
A nomimal probability used for statistical test. The default value is 0.05. |
Value
A list of variances and confidence intervals for genotypes or environments
Author(s)
Jixiang Wu <jixiang.wu@sdstate.edu>
References
Finlay, K.W., G.N. Wilkinson 1963. The analysis of adaptation in a plant breeding programme. Australian Journal of Agricultural Research 14: 742-754.
Wu, J., K. Glover, W. Berzonsky, 2012. Statistical tests for stability analysis with resampling techniques. 25th Conference of Applied Statistics in Agriculture. p88-108. April 29- May 01, 2012. Manhattan, KS
Examples
data(maize)
#names(maize)
Geno=as.vector(maize$Cultivar)
Env=paste(maize$Location,maize$Year,sep=":")
y=maize$Yld
res=stab.mean(y,class=Geno,cls2=Env,resample="Boot",times=100)
res
res=stab.mean(y,class=Geno,resample="Perm",times=100)
res