Uses of Class
umcg.genetica.math.stats.FDRUtils.AbsoluteValues

Packages that use FDRUtils.AbsoluteValues

Package	Description
umcg.genetica.math.stats

Uses of FDRUtils.AbsoluteValues in umcg.genetica.math.stats

Methods in umcg.genetica.math.stats that return FDRUtils.AbsoluteValues

Modifier and Type	Method and Description
static FDRUtils.AbsoluteValues	FDRUtils.AbsoluteValues.valueOf(String name) Returns the enum constant of this type with the specified name.
static FDRUtils.AbsoluteValues[]	FDRUtils.AbsoluteValues.values() Returns an array containing the constants of this enum type, in the order they are declared.

Methods in umcg.genetica.math.stats with parameters of type FDRUtils.AbsoluteValues

Modifier and Type	Method and Description
static double	FDRUtils.getGlobalThreshold(double[][] real, double[][][] permuted, double fdr, FDRUtils.CloneArrays c, FDRUtils.SortArrays s, FDRUtils.AbsoluteValues a) Returns the threshold value in the whole of given real data matrix that corresponds to the given false discovery rate against the null distribution from given permuted data matrices.
static double	FDRUtils.getGlobalThreshold(double[][] real, double[][] permuted, double fdr, FDRUtils.CloneArrays c, FDRUtils.SortArrays s, FDRUtils.AbsoluteValues a) Returns the threshold value in the whole of given real data matrix that corresponds to the given false discovery rate against the null distribution from given permuted data matrix.
static int[]	FDRUtils.getNrSignificant(double[][] data, double[] thresholds, FDRUtils.CloneArrays c, FDRUtils.SortArrays s, FDRUtils.AbsoluteValues a)
static int[]	FDRUtils.getNrSignificant(double[][] data, double threshold, FDRUtils.SortArrays s, FDRUtils.AbsoluteValues a) Calculates the number of significant Z-scores per each row in the given Z-score matrix.
static double[]	FDRUtils.getThresholdsPerRow(double[][] real, double[][][] permuted, double fdr, FDRUtils.CloneArrays c, FDRUtils.SortArrays s, FDRUtils.AbsoluteValues a) Returns the threshold values per row in the given real data matrix that corresponds to the given false discovery rate against the null distribution from rows of given permuted data matrices.
static double[]	FDRUtils.getThresholdsPerRow(double[][] real, double[][] permuted, double fdr, FDRUtils.CloneArrays c, FDRUtils.SortArrays s, FDRUtils.AbsoluteValues a) Returns the threshold values per row in the given real data matrix that corresponds to the given false discovery rate against the null distribution from rows of given permuted data matrix.
static double[]	FDRUtils.getThresholdsPerRow(double[][] real, String[] permutedFiles, double fdr, double mvp, FDRUtils.CloneArrays c, FDRUtils.SortArrays s, FDRUtils.AbsoluteValues a)