コード例 #1
0
  // Constructor for PET
  // it also works for fMRI
  public ComputeMultiblockPlsMain(
      int imagingType,
      ConcatenateDatamat st,
      int numBootstraps,
      int numPermutations,
      double confidenceLevel,
      String behaviorFilename,
      String resultsFile,
      StreamedProgressHelper progress)
      throws Exception {
    RRIBootstrapCheck bootCheck;
    if (imagingType == 2) {
      bootCheck =
          new RRIBootstrapCheck(st.subjectGroup, st.num_cond_lst[0], numBootstraps, false, 50.0);
    } else {
      bootCheck =
          new RRIBootstrapCheck(st.subjectGroup, st.numConditions, numBootstraps, false, 50.0);
    }
    int[] bscan = MLFuncs.range(0, st.numConditions - 1);

    progress.startTask("Computing reference multiblock PLS", "Ref. multiblock PLS");

    // old calling for fMRI only
    // ComputeMultiblockPls mainPls = new ComputeMultiblockPls(imagingType, st.datamat,
    // st.behavData,
    // st.posthocData, st.behavDataList, st.newDataList, st.numSubjectList, st.numConditions,
    // bscan);

    // new calling for fMRI and PET
    ComputeMultiblockPls mainPls = new ComputeMultiblockPls(imagingType, st, bscan);
    progress.endTask(); // ref. multiblock PLS

    PermutationResult permResult =
        new ComputeMultiblockPermutationPls(
                imagingType, mainPls, st, numPermutations, bscan, progress)
            .permResult;

    // old calling for only fMRI
    // BootstrapResult bootResult = new ComputeMultiblockBootstrapPls(mainPls, st.datamat,
    // st.numConditions, st.eventList, numBootstraps, st.subjectGroup,
    // bootCheck.minSubjectsPerGroup,
    // bootCheck.isBootstrapSamples, bootCheck.bootstrapSamples, bootCheck.newNumBootstraps, bscan,
    // confidenceLevel, progress).bootResult;

    // new Call for fMRI and PET
    BootstrapResult bootResult =
        new ComputeMultiblockBootstrapPls(
                imagingType,
                mainPls,
                st,
                numBootstraps,
                bootCheck.minSubjectsPerGroup,
                bootCheck.isBootstrapSamples,
                bootCheck.bootstrapSamples,
                bootCheck.newNumBootstraps,
                bscan,
                confidenceLevel,
                progress)
            .bootResult;

    progress.startTask("Saving the results...", "Saving results");
    new ResultSaver(
        st,
        numBootstraps,
        numPermutations,
        confidenceLevel,
        behaviorFilename,
        resultsFile,
        permResult,
        mainPls,
        bootResult,
        bscan);
    progress.endTask(); // save results
  }
コード例 #2
0
  // constructor for fMRI
  public ComputeMultiblockPlsMain(
      ConcatenateDatamat st,
      int numBootstraps,
      int numPermutations,
      double confidenceLevel,
      String behaviorFilename,
      String resultsFile,
      StreamedProgressHelper progress)
      throws Exception {

    RRIBootstrapCheck bootCheck =
        new RRIBootstrapCheck(st.subjectGroup, st.numConditions, numBootstraps, false, 50.0);

    int[] bscan = MLFuncs.range(0, st.numConditions - 1);

    progress.startTask("Computing reference multiblock PLS", "Ref. multiblock PLS");
    ComputeMultiblockPls mainPls =
        new ComputeMultiblockPls(
            st.datamat,
            st.behavData,
            st.posthocData,
            st.behavDataList,
            st.newDataList,
            st.numSubjectList,
            st.numConditions,
            bscan);
    progress.endTask(); // ref. multiblock PLS

    PermutationResult permResult =
        new ComputeMultiblockPermutationPls(
                mainPls,
                st.datamat,
                st.posthocData,
                st.numConditions,
                numPermutations,
                st.subjectGroup,
                bscan,
                progress)
            .permResult;

    BootstrapResult bootResult =
        new ComputeMultiblockBootstrapPls(
                mainPls,
                st.datamat,
                st.numConditions,
                st.eventList,
                numBootstraps,
                st.subjectGroup,
                bootCheck.minSubjectsPerGroup,
                bootCheck.isBootstrapSamples,
                bootCheck.bootstrapSamples,
                bootCheck.newNumBootstraps,
                bscan,
                confidenceLevel,
                progress)
            .bootResult;

    progress.startTask("Saving the results...", "Saving results");
    new ResultSaver(
        st,
        numBootstraps,
        numPermutations,
        confidenceLevel,
        behaviorFilename,
        resultsFile,
        permResult,
        mainPls,
        bootResult,
        bscan);
    progress.endTask(); // save results
  }