Computes the Spearman's rank correlation between the parametric and
nonparametric stability indexes computed with the function
`ge_stats()`

.

## Arguments

- x
An object of class

`ge_stats`

.- stats
The statistics to compute the correlation. See the section

**Details**for more information.- plot
Plot the heat map with the correlations? Defaults to

`TRUE`

.- ...
Other arguments to be passed to the function

`plot.corr_coef()`

.

## Value

A list with the data (ranks) correlation, p-values and a heat map showing the correlation coefficients.

## Details

The argument `stats`

is used to chose the statistics to show the
ranks. Allowed values are `"all"`

(All statistics, default), `"par"`

(Parametric statistics), `"nonpar"`

(Non-parametric statistics), `"ammi"`

(AMMI-based stability statistics), or the following values that can be
combined into comma-separated character vector. `"Y"`

(Response variable),
`"Var"`

(Genotype's variance), `"Shukla"`

(Shukla's variance), `"Wi_g", "Wi_f", "Wi_u"`

(Annichiarrico's genotypic confidence index for all,
favorable and unfavorable environments, respectively), `"Ecoval"`

(Wricke's
ecovalence), `"Sij"`

(Deviations from the joint-regression analysis),
`"R2"`

(R-squared from the joint-regression analysis), `"ASTAB"`

(AMMI
Based Stability Parameter), `"ASI"`

(AMMI Stability Index), `"ASV"`

(AMMI-stability value), `"AVAMGE"`

(Sum Across Environments of Absolute
Value of GEI Modelled by AMMI ), `"Da"`

(Annicchiarico's D Parameter
values), `"Dz"`

(Zhang's D Parameter), `"EV"`

(Sums of the Averages of the
Squared Eigenvector Values), `"FA"`

(Stability Measure Based on Fitted AMMI
Model), `"MASV"`

(Modified AMMI Stability Value), `"SIPC"`

(Sums of the
Absolute Value of the IPC Scores), `"Za"`

(Absolute Value of the Relative
Contribution of IPCs to the Interaction), `"WAAS"`

(Weighted average of
absolute scores), `"HMGV"`

(Harmonic mean of the genotypic value), `"RPGV"`

(Relative performance of the genotypic values), `"HMRPGV"`

(Harmonic mean
of the relative performance of the genotypic values), `"Pi_a", "Pi_f", "Pi_u"`

(Superiority indexes for all, favorable and unfavorable
environments, respectively), `"Gai"`

(Geometric adaptability index), `"S1"`

(mean of the absolute rank differences of a genotype over the n
environments), `"S2"`

(variance among the ranks over the k environments),
`"S3"`

(sum of the absolute deviations), `"S6"`

(relative sum of squares of
rank for each genotype), `"N1", "N2", "N3", "N4"`

(Thennarasu"s
statistics)).

## Author

Tiago Olivoto tiagoolivoto@gmail.com