Package | Description |
---|---|
ubic.basecode.math.linearmodels | |
ubic.basecode.util.r |
Modifier and Type | Method and Description |
---|---|
protected LinearModelSummary |
LeastSquaresFit.summarize(int i)
Compute and organize the various summary statistics for a fit.
|
Modifier and Type | Method and Description |
---|---|
List<LinearModelSummary> |
LeastSquaresFit.summarize() |
List<LinearModelSummary> |
LeastSquaresFit.summarize(boolean anova) |
Map<String,LinearModelSummary> |
LeastSquaresFit.summarizeByKeys(boolean anova) |
Modifier and Type | Method and Description |
---|---|
LinearModelSummary |
RClient.linearModel(double[] data,
Map<String,List<?>> factors)
Lower level access to linear model.
|
LinearModelSummary |
AbstractRClient.linearModel(double[] data,
Map<String,List<?>> factors) |
LinearModelSummary |
RClient.linearModel(double[] data,
ObjectMatrix<String,String,Object> design) |
LinearModelSummary |
AbstractRClient.linearModel(double[] data,
ObjectMatrix<String,String,Object> d) |
Modifier and Type | Method and Description |
---|---|
Map<String,LinearModelSummary> |
RClient.rowApplyLinearModel(String dataMatrixVarName,
String modelFormula,
String[] factorNames)
Run lm with anova on all the rows of a matrix
|
Map<String,LinearModelSummary> |
AbstractRClient.rowApplyLinearModel(String dataMatrixVarName,
String modelFormula,
String[] factorNames) |
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