docs/09-correlations.md
In ppernot/ErrView: Analysis of error sets
Correlations module
Plot correlation matrix of data, errors or statistics.
Controls
-
Echantillons: select the type of data
(Data, Errors, MUE or Q95)
-
Correlation type: type of correlation statistic
(Pearson, Spearman or Kendall)
-
Clustering: apply a clustering algorithm to the
correlation matrix
-
Label size: adjust methods label size in plot
Plot
Plot of the correlation matrix using a combined
shape and color scheme.
White cells correspond to null correlation coefficients.
ppernot/ErrView documentation built on Jan. 30, 2022, 6:59 a.m.
R Package Documentation
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Correlations module
Plot correlation matrix of data, errors or statistics.
Controls
-
Echantillons: select the type of data (Data, Errors, MUE or Q95) -
Correlation type: type of correlation statistic (Pearson, Spearman or Kendall) -
Clustering: apply a clustering algorithm to the correlation matrix -
Label size: adjust methods label size in plot
Plot
Plot of the correlation matrix using a combined shape and color scheme. White cells correspond to null correlation coefficients.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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