Description Usage Arguments Value References Examples
This function calculates the Nassar&Huehn's stability parameters.
1 2 | stability.hue(dataf, res_var, gen_var, env_var, rep_var, alpha = 0.05,
plotIt = TRUE)
|
dataf |
the name of the data frame containing the data to analyze. |
res_var |
the response variable. |
gen_var |
the genotypes variable. |
env_var |
the environments variable. |
rep_var |
the replications variable. |
alpha |
the significance level; default is 0.5 |
plotIt |
a logical value specifying if plot should be drawn; default is TRUE |
Returns a list of two objects:
the data frame object of stability analysis results:
S1
-value of genotype
Z1
-value of genotype
S2
-value of genotype
Z2
-value of genotype
the data frame object of summary results:
Z1.sum
sum of Z1
Z2.sum
sum of Z2
chi.ind
chi-squared for (choosen alpha level)/(number of genotypes) and one degree of freedom
chi.sum
chi-squared for choosen alpha level and number of genotypes degree of freedom
Nassar, R. and M. Huehn. 1987. Studies on estimation of phenotypic stability: Tests of significance for nonparametric measures of phenotypic stability. Biometrics 43: 45-53. doi: 10.2307/2531947
1 2 | data(exp_data)
stability.hue(exp_data,"yield","gen","env","rep")
|
$statistic
S1 Z1 S2 Z2
Novosib2 3.066667 1.9321839 7.066667 3.06666667
Novosib3 2.466667 0.1037356 4.300000 0.02934783
Novosib32 3.133333 2.2761494 6.966667 2.86992754
Novosib40 1.266667 3.2899425 1.366667 2.26123188
Novosib51 1.800000 0.7474138 2.166667 1.09601449
Obskaya_o 2.800000 0.8379310 5.466667 0.70144928
Omskaya6 2.533333 0.1942529 4.666667 0.14492754
$chi
Z1.sum Z2.sum chi.ind chi.sum
1 9.381609 10.16957 7.236689 14.06714
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