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-rw-r--r--math/qtiplot/files/patch-qtiplot__src__scripting__qti.sip60
1 files changed, 60 insertions, 0 deletions
diff --git a/math/qtiplot/files/patch-qtiplot__src__scripting__qti.sip b/math/qtiplot/files/patch-qtiplot__src__scripting__qti.sip
new file mode 100644
index 000000000000..d211639967db
--- /dev/null
+++ b/math/qtiplot/files/patch-qtiplot__src__scripting__qti.sip
@@ -0,0 +1,60 @@
+--- ./qtiplot/src/scripting/qti.sip.orig 2011-02-08 15:33:02.000000000 +0300
++++ ./qtiplot/src/scripting/qti.sip 2011-03-19 00:06:07.578146696 +0300
+@@ -3390,57 +3390,6 @@
+ double pValue();
+ };
+
+-class Anova : StatisticTest
+-{
+-%TypeHeaderCode
+-#include <Anova.h>
+-%End
+-public:
+- Anova(ApplicationWindow * /TransferThis/, bool twoWay = false, double level = 0.05);
+- Anova(bool twoWay = false, double level = 0.05) /NoDerived/;
+-%MethodCode
+- SIPQTI_APP(new sipAnova(app, a0, a1))
+-%End
+-
+- bool run();
+- bool addSample(const QString& colName, int aLevel = 1, int bLevel = 1);
+- void setAnovaTwoWayModel(int);
+-
+- virtual QString logInfo();
+- double fStat();
+- double statistic();
+- double pValue();
+- //! Sum of squares
+- double ssm();
+- double sse();
+- double sst();
+- //! Mean square value
+- double mse();
+- //! F statistic for factor A
+- double fStatA();
+- //! F statistic for factor B
+- double fStatB();
+- //! F statistic for the interaction
+- double fStatAB();
+- //! P value for factor A
+- double pValueA();
+- //! P value for factor B
+- double pValueB();
+- //! P value for the interaction
+- double pValueAB();
+- //! Sum of squares for factor A
+- double ssa();
+- //! Sum of squares for factor B
+- double ssb();
+- //! Sum of squares for the interaction
+- double ssab();
+- //! Mean square value for factor A
+- double msa();
+- //! Mean square value for factor B
+- double msb();
+- //! Mean square value for the interaction
+- double msab();
+-};
+
+ // used for output redirection
+ class PythonScripting