| Package | Description |
|---|---|
| org.biojava.nbio.survival.cox | |
| org.biojava.nbio.survival.cox.comparators | |
| org.biojava.nbio.survival.cox.stats | |
| org.biojava.nbio.survival.kaplanmeier.figure |
| Modifier and Type | Method and Description |
|---|---|
java.util.ArrayList<SurvivalInfo> |
CoxInfo.getSurvivalInfoList() |
| Modifier and Type | Method and Description |
|---|---|
int |
SurvivalInfo.compareTo(SurvivalInfo o) |
| Modifier and Type | Method and Description |
|---|---|
static java.util.ArrayList<java.lang.String> |
SurvivalInfoHelper.addInteraction(java.lang.String variable1,
java.lang.String variable2,
java.util.ArrayList<SurvivalInfo> survivalInfoList)
To test for interactions use two variables and create a third variable where the two are multiplied together.
|
static void |
SurvivalInfoHelper.categorizeData(java.util.ArrayList<SurvivalInfo> DataT)
Take a collection of categorical data and convert it to numeric to be used in cox calculations
|
static void |
SurvivalInfoHelper.dump(java.util.ArrayList<SurvivalInfo> DataT,
java.io.PrintStream ps,
java.lang.String delimiter)
For each analysis this allows outputing of the data used in the calculations to a printstream/file.
|
static java.util.ArrayList<java.lang.String> |
SurvivalInfoHelper.getGroupCategories(java.lang.String groupName,
java.util.ArrayList<SurvivalInfo> survivalInfoList) |
static void |
SurvivalInfoHelper.groupByRange(double[] range,
java.lang.String variable,
java.lang.String groupName,
java.util.ArrayList<SurvivalInfo> survivalInfoList)
Need to allow a range of values similar to cut in R and a continuous c
|
CoxInfo |
CoxR.process(java.util.ArrayList<java.lang.String> variables,
java.util.ArrayList<SurvivalInfo> DataT,
boolean useStrata,
boolean useWeighted,
boolean robust,
boolean cluster) |
CoxInfo |
CoxR.process(java.util.ArrayList<java.lang.String> variables,
java.util.ArrayList<SurvivalInfo> data,
int maxiter,
CoxMethod method,
double eps,
double toler,
double[] beta,
int doscale,
boolean useStrata,
boolean useWeighted,
boolean robust,
boolean cluster) |
static double[] |
CoxMart.process(CoxMethod method,
java.util.ArrayList<SurvivalInfo> survivalInfoList,
boolean useStrata) |
static double[][] |
CoxScore.process(CoxMethod method,
java.util.ArrayList<SurvivalInfo> survivalInfoList,
CoxInfo coxInfo,
boolean useStrata) |
void |
CoxInfo.setSurvivalInfoList(java.util.ArrayList<SurvivalInfo> data) |
| Modifier and Type | Method and Description |
|---|---|
int |
SurvivalInfoValueComparator.compare(SurvivalInfo t,
SurvivalInfo t1) |
int |
SurvivalInfoComparator.compare(SurvivalInfo t,
SurvivalInfo t1) |
| Modifier and Type | Method and Description |
|---|---|
static double[][] |
AgScore.process(CoxMethod method,
java.util.ArrayList<SurvivalInfo> survivalInfoList,
CoxInfo coxInfo,
boolean useStrata) |
| Modifier and Type | Method and Description |
|---|---|
java.util.ArrayList<SurvivalInfo> |
ExpressionFigure.getSurvivalInfoList()
The data used to draw the graph
|
| Modifier and Type | Method and Description |
|---|---|
SurvFitInfo |
SurvFitKM.process(java.lang.String variable,
java.util.ArrayList<SurvivalInfo> dataT,
boolean useWeighted) |
SurvFitInfo |
SurvFitKM.process(java.lang.String variable,
java.util.ArrayList<SurvivalInfo> dataT,
SurvFitKM.Method method,
SurvFitKM.Error error,
boolean seFit,
double confInt,
SurvFitKM.ConfType confType,
SurvFitKM.ConfLower confLower,
java.lang.Double startTime,
java.lang.Double newTime,
boolean useWeighted) |
java.util.LinkedHashMap<java.lang.String,StrataInfo> |
SurvFitKM.processStrataInfo(java.lang.String variable,
java.util.ArrayList<SurvivalInfo> dataT,
SurvFitKM.Method method,
SurvFitKM.Error error,
boolean seFit,
double confInt,
SurvFitKM.ConfType confType,
SurvFitKM.ConfLower confLower,
java.lang.Double startTime,
java.lang.Double newTime,
boolean useWeighted) |
void |
ExpressionFigure.setSurvivalInfo(java.util.ArrayList<java.lang.String> title,
java.util.ArrayList<SurvivalInfo> _siList,
java.lang.String variable) |
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