net.maizegenetics.stats.linearmodels

Class SolveByOrthogonalizing

net.maizegenetics.stats.linearmodels.SolveByOrthogonalizing

public class SolveByOrthogonalizing

Method Detail

getInstanceFromModel

public static SolveByOrthogonalizing getInstanceFromModel(java.util.List<net.maizegenetics.stats.linearmodels.ModelEffect> baseModel,
                                                          java.util.List<kotlin.Array[]> dataList)

getInstanceFromVectors

public static SolveByOrthogonalizing getInstanceFromVectors(java.util.List<kotlin.Array[]> basisVectors,
                                                            java.util.List<kotlin.Array[]> dataList)

solveForR

public net.maizegenetics.stats.linearmodels.SolveByOrthogonalizing.Marker solveForR(net.maizegenetics.stats.linearmodels.SolveByOrthogonalizing.Marker marker)

solveForR

public net.maizegenetics.stats.linearmodels.SolveByOrthogonalizing.Marker solveForR(Position pos,
                                                                                    kotlin.Array[] values)

solveForR

public net.maizegenetics.stats.linearmodels.SolveByOrthogonalizing.Marker solveForR(Position pos,
                                                                                    kotlin.Array[] add,
                                                                                    kotlin.Array[] dom)

baseDf

public int baseDf()

Returns:

org.jetbrains.dokka.NodeRenderContent@70ddfbc9: the df in the base model, including 1 df for the mean

innerProduct

public static double innerProduct(kotlin.Array[] x,
                                  kotlin.Array[] y)

center

public static kotlin.Array[] center(kotlin.Array[] values)

scale

public static kotlin.Array[] scale(kotlin.Array[] values)

centerAndScale

public static kotlin.Array[] centerAndScale(kotlin.Array[] values)

calculateFfromR2

public static double calculateFfromR2(double r2,
                                      double markerDf,
                                      double errorDf)

calculateP

public static double calculateP(double F,
                                double markerDf,
                                double errorDf)

calculateR2Fromp

public static double calculateR2Fromp(double alpha,
                                      double modelDf,
                                      double errorDf)

getOrthogonalizedData

public java.util.List<kotlin.Array[]> getOrthogonalizedData()

copyOrthogonalizedData

public java.util.List<kotlin.Array[]> copyOrthogonalizedData()

getUColumns

public java.util.List<kotlin.Array[]> getUColumns()

copyUColumns

public java.util.List<kotlin.Array[]> copyUColumns()