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Releases: jasenfinch/metabolyseR

metabolyseR 0.15.4

12 Sep 15:03
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  • Fixed various tidyverse warnings.

  • Fixed an error when calculating the mds dimensions for multiple class comparisons with differing numbers of observations.

  • Added the transformPercent() method for the AnalysisData S4 class to scale as a percentage of feature maximum intensity.

  • Feature intensities are now displayed as relative percent intensities in heat maps generated by plotExplanatoryHeatmap().

  • Reduced the gap between the dendrogram and heat map in outputs of plotExplanatoryHeatmap().

metabolyseR 0.15.3

24 Aug 09:43
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metabolyseR 0.15.2

14 Aug 15:15
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  • Added the argument refactor to the method transformTICnorm() to enable the feature intensities of total ion count (TIC) normalised data to be refactored back to a range consistent with the original data by multiplying the normalised values by the median TIC.

  • Removed the permutation cap when the perm argument of randomForest() is less than the total number of permutations possible.

metabolyseR 0.15.1

30 May 14:23
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  • The class occupancy methods now throw a helpful error message if no features are available on which to compute class occupancy.

  • Fixed a bug where it was not possible to customize the order of class labels in the legend of plotLDA().

metabolyseR 0.15.0

20 Feb 17:03
cb4d1b2
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  • It is now possible to specify multiple cls arguments to the aggregation methods.

  • Correlation thresholds are now available for both coefficient and total number using the minCoef and maxCor arguments in the correlations() method.

  • Added the predictions() accessor method for the RandomForest S4 class to enable the retrieval of the out-of-bag model response predictions.

  • The occupancy filtering methods now error if the value supplied to argument occupancy is non-numeric.

  • Memory usage and performance improvements for the randomForest() method.

  • Added type() and response() methods for the Univariate S4 class.

  • plotLDA() now returns a warning and skips plotting if an error is encountered during PC-LDA.

  • The value pre-treated is now the default for argument type in the Analysis S4 class accessor methods.

  • Added the value argument to the explanatoryFeatures() method to allow the specification of on which importance value to apply the specified threshold.

  • The specified cls argument is now correctly displayed on the x-axis title of the resulting plots from the plotFeature() method.

metabolyseR 0.14.10

01 Feb 10:18
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  • Added the method predict() for the RandomForest S4 class to predict model response values.

  • Added the method mtry() for the AnalysisData S4 class to return the default mtry random forest parameter for a given response variable.

  • Added the method tune() for the AnalysisData S4 class to tune the random forest parameters mtry and ntree for a given response variable.

metabolyseR 0.14.9

27 Jan 12:33
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  • Suppressed name repair console message encountered during random forest permutation testing.

  • Added the proximity() method for extracting sample proximities from the RandomForest S4 class.

  • Added the mds() method to perform multidimensional scaling on sample proximities from the RandomForest S4 class.

  • Added the roc() method to calculate receiver-operator characteristic curves from the RandomForest S4 class.

metabolyseR 0.14.8

06 Jan 14:22
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  • An error is now thrown during random forest classification when less than two classes are specified.

  • plotSupervisedRF() now skips plotting if errors are encountered during random forest training.

metabolyseR 0.14.7

17 Dec 19:39
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  • Single replicate classes now automatically removed by plotLDA().

metabolyseR 0.14.6

17 Nov 11:44
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