Package | Description |
---|---|
com.mockturtlesolutions.snifflib.datatypes |
Contains standard classes and interfaces for storage, retrieval, and display.
|
com.mockturtlesolutions.snifflib.flatfiletools.database |
Base classes for the repository storage framework of flatfiletools.
|
com.mockturtlesolutions.snifflib.graphics |
Contains standard classes and interfaces for 2D and 3D graphics.
|
com.mockturtlesolutions.snifflib.integration |
Contains standard classes and interfaces for performing integration.
|
com.mockturtlesolutions.snifflib.invprobs |
Contains standard classes and interfaces for solving statistical inverse problems.
|
com.mockturtlesolutions.snifflib.mcmctools.workbench |
Graphical interface classes for the repository storage framework of the mcmctools package.
|
com.mockturtlesolutions.snifflib.statmodeltools.database |
Base classes for the repository storage framework of the statmodeltools package.
|
com.mockturtlesolutions.snifflib.statmodeltools.workbench |
Graphical interface classes for the repository storage framework of the statmodeltools package.
|
com.mockturtlesolutions.snifflib.stats |
Contains standard classes and interfaces for statistical storage classes and algorithms.
|
Modifier and Type | Field and Description |
---|---|
protected DataSet |
DataSetAdapter.dataset |
protected DataSet |
GraphicalDataSet.dataSet |
Modifier and Type | Method and Description |
---|---|
DataSet |
DataSet.classMatrix(java.lang.String var)
Return a class matrix for the given variable.
|
DataSet |
DataSet.classMatrix(java.lang.String[] vars)
Return a class matrix for the interaction of the given variables.
|
static DataSet |
DataSet.fromDblMatrix(DblMatrix X) |
static DataSet |
DataSet.fromDblMatrix(java.lang.String[] labels,
DblMatrix[] cols) |
DataSet |
DataSetAdapter.getDataSet() |
DataSet |
GraphicalDataSet.getDataSet() |
DataSet |
DataSetChangeEvent.getSource() |
DataSet |
DataSetReader.newparse() |
DataSet |
DataSetReader.parse() |
DataSet |
DataSet.vars(java.lang.String[] newheaders)
Creates a new data set from a subset of the columns in an existing dataset.
|
DataSet |
DataSet.where(java.lang.String colname,
int querytype,
java.lang.Number value) |
DataSet |
DataSet.where(java.lang.String colname,
int querytype,
java.lang.String value) |
Modifier and Type | Method and Description |
---|---|
void |
DataSetEditor.setData(DataSet s) |
void |
DataSetAdapter.setDataSet(DataSet S) |
void |
GraphicalDataSet.setDataSet(DataSet s) |
void |
DataSetPanel.setDataSet(DataSet data) |
Constructor and Description |
---|
DataSetAdapter(DataSet S,
StatisticalModel mod) |
DataSetChangeEvent(DataSet S) |
DataSetEditor(DataSet D) |
DataSetPanel(DataSet D) |
Modifier and Type | Class and Description |
---|---|
class |
FlatFileSet
A read-only buffered TableModel for data sets spread across multiple plain
text files.
|
Modifier and Type | Field and Description |
---|---|
protected DataSet |
DataSetSelector.currentDataSet |
Modifier and Type | Method and Description |
---|---|
DataSet |
DataSetSelector.getSelected() |
DataSet |
DataSetSelectorFrame.getSelected() |
Modifier and Type | Method and Description |
---|---|
void |
DataSetSelector.addDataSet(DataSet ds) |
void |
DataSetSelectorFrame.addDataSet(DataSet mod) |
void |
DataSetSelector.removeDataSet(DataSet mod) |
void |
DataSetSelectorFrame.removeDataSet(DataSet mod) |
void |
DataSetSelector.setSelected(DataSet mod) |
void |
DataSetSelectorFrame.setSelected(DataSet mod) |
Constructor and Description |
---|
LpregPanel(DataSet inSet) |
Constructor and Description |
---|
OdeModel(OdeSolver s,
DataSet D) |
Modifier and Type | Method and Description |
---|---|
DataSet |
StatisticalModel.getDataAugment() |
DataSet |
MetropolisHastings.getDataAugment() |
DataSet |
MCMCSampler.getDataAugment() |
DataSet |
StatisticalModel.getDataSet() |
Modifier and Type | Method and Description |
---|---|
void |
StatisticalModel.setDataAugment(DataSet S) |
void |
MetropolisHastings.setDataAugment(DataSet S) |
void |
MCMCSampler.setDataAugment(DataSet aug) |
void |
StatisticalModel.setDataSet(DataSet F) |
Constructor and Description |
---|
Lpreg(DataSet set,
java.lang.String Xvar,
java.lang.String Yvar) |
StatisticalModel(DataSet S) |
Constructor and Description |
---|
MCMCTraceFrame.TraceCopyRow(DataSet set,
ReposConfig conf,
int k) |
Modifier and Type | Method and Description |
---|---|
DataSet |
GLMStorageXML.getDataSet() |
DataSet |
GLMStorageSQL.getDataSet() |
DataSet |
GLMStorageDOM.getDataSet() |
DataSet |
GLMStoragePostgreSQL.getDataSet() |
DataSet |
BackedByDataSet.getDataSet() |
Modifier and Type | Method and Description |
---|---|
DataSet |
GLMStorageFrame.getDataSet() |
Constructor and Description |
---|
CanonicalSetFrame.SetCopyRow(DataSet set,
ReposConfig conf,
int k) |
Modifier and Type | Field and Description |
---|---|
DataSet |
Merge.Aset |
DataSet |
Merge.Bset |
DataSet |
Merge.mergeSet |
Modifier and Type | Method and Description |
---|---|
DataSet |
Plot.getDataSet() |
DataSet |
Min.getN()
Return the normalizing observation number for each reported mean.
|
DataSet |
CumProd.getN()
Return the normalizing observation number for each reported mean.
|
DataSet |
Percentile.getN()
Return the normalizing observation number for each reported mean.
|
DataSet |
Median.getN()
Return the normalizing observation number for each reported mean.
|
DataSet |
CumSum.getN()
Return the cummulative number of entries composing each sum.
|
DataSet |
Var.getN()
Return the normalizing observation number for each reported mean.
|
DataSet |
Mean.getN()
Return the normalizing observation number for each reported mean.
|
DataSet |
Max.getN()
Return the normalizing observation number for each reported mean.
|
DataSet |
Min.getResult()
Return means.
|
DataSet |
CumProd.getResult()
Return means.
|
DataSet |
Percentile.getResult()
Return means.
|
DataSet |
Median.getResult()
Return means.
|
DataSet |
Merge.getResult() |
DataSet |
CumSum.getResult() |
DataSet |
Var.getResult()
Return means.
|
DataSet |
Mean.getResult()
Return means.
|
DataSet |
Sort.getResult()
Return sorted data set.
|
DataSet |
Max.getResult()
Return means.
|
Modifier and Type | Method and Description |
---|---|
void |
GLM.setDataSet(DataSet ds) |
Constructor and Description |
---|
CumProd(DataSet S) |
CumSum(DataSet S) |
GLM(DataSet ds) |
Max(DataSet S) |
Mean(DataSet S) |
Median(DataSet S) |
Merge(DataSet A,
DataSet B) |
Min(DataSet S) |
Percentile(DataSet S) |
Plot(DataSet S) |
Sort(DataSet S) |
Var(DataSet S) |
Copyright © 2011, 2013. Daniel P. Dougherty