Package | Description |
---|---|
ubic.basecode.dataStructure.matrix | |
ubic.basecode.math.linearmodels | |
ubic.basecode.util.r |
Modifier and Type | Class and Description |
---|---|
class |
CompressedBitMatrix<R,C>
Named compressed sparse bit matrix.
|
class |
ObjectMatrixImpl<R,C,V>
Matrix that can hold any type of object
|
class |
StringMatrix<R,C>
A NamedMatrix containing String objects.
|
Modifier and Type | Method and Description |
---|---|
ObjectMatrix<R,C,String> |
StringMatrix.subset(int startRow,
int startCol,
int numRow,
int numCol) |
ObjectMatrix<R,C,V> |
ObjectMatrixImpl.subset(int startRow,
int startCol,
int numRow,
int numCol) |
ObjectMatrix<R,C,V> |
ObjectMatrix.subset(int startRow,
int startCol,
int numRow,
int numCol) |
ObjectMatrix<R,C,double[]> |
CompressedBitMatrix.subset(int startRow,
int startCol,
int numRow,
int numCol) |
ObjectMatrix<R,C,String> |
StringMatrix.subsetColumns(List<C> columns) |
ObjectMatrix<R,C,V> |
ObjectMatrix.subsetColumns(List<C> columns) |
ObjectMatrix<R,C,double[]> |
CompressedBitMatrix.subsetColumns(List<C> columns) |
Modifier and Type | Method and Description |
---|---|
void |
DesignMatrix.add(ObjectMatrix<String,String,Object> sampleInfo)
Append additional factors/covariates to this
|
Constructor and Description |
---|
DesignMatrix(ObjectMatrix<String,String,?> sampleInfo,
boolean intercept) |
DesignMatrix(ObjectMatrix<String,String,? extends Object> sampleInfo) |
DesignMatrix(ObjectMatrix<String,String,Object> design,
boolean intercept,
boolean strict) |
LeastSquaresFit(ObjectMatrix<String,String,Object> sampleInfo,
cern.colt.matrix.impl.DenseDoubleMatrix2D data) |
LeastSquaresFit(ObjectMatrix<String,String,Object> sampleInfo,
cern.colt.matrix.impl.DenseDoubleMatrix2D data,
boolean interactions) |
LeastSquaresFit(ObjectMatrix<String,String,Object> design,
DoubleMatrix<String,String> b)
NamedMatrix allows easier handling of the results.
|
LeastSquaresFit(ObjectMatrix<String,String,Object> design,
DoubleMatrix<String,String> data,
boolean interactions)
NamedMatrix allows easier handling of the results.
|
Modifier and Type | Method and Description |
---|---|
ObjectMatrix<String,String,Object> |
RClient.dataFrameEval(String command)
Evaluate a command that returns a dataFrame
|
ObjectMatrix<String,String,Object> |
AbstractRClient.dataFrameEval(String command) |
Modifier and Type | Method and Description |
---|---|
String |
RClient.dataFrame(ObjectMatrix<String,String,Object> matrix)
Convert an object matrix into an R data frame.
|
String |
AbstractRClient.dataFrame(ObjectMatrix<String,String,Object> matrix) |
LinearModelSummary |
RClient.linearModel(double[] data,
ObjectMatrix<String,String,Object> design) |
LinearModelSummary |
AbstractRClient.linearModel(double[] data,
ObjectMatrix<String,String,Object> d) |
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