diff options
Diffstat (limited to 'math/qtiplot/files/patch-qtiplot__src__scripting__qti.sip')
-rw-r--r-- | math/qtiplot/files/patch-qtiplot__src__scripting__qti.sip | 69 |
1 files changed, 0 insertions, 69 deletions
diff --git a/math/qtiplot/files/patch-qtiplot__src__scripting__qti.sip b/math/qtiplot/files/patch-qtiplot__src__scripting__qti.sip deleted file mode 100644 index 6c6c275e7f24..000000000000 --- a/math/qtiplot/files/patch-qtiplot__src__scripting__qti.sip +++ /dev/null @@ -1,69 +0,0 @@ ---- qtiplot/src/scripting/qti.sip.orig 2018-05-11 22:48:48 UTC -+++ qtiplot/src/scripting/qti.sip -@@ -370,7 +370,7 @@ public: - if (sipCpp->text(row, col) != "") - sipRes = sipCpp->cell(row, col); - else { -- sipRes = NULL; -+ sipRes = 0; - PyErr_SetString(PyExc_ValueError, "Empty table cell"); - } - } -@@ -3433,57 +3433,6 @@ public: - 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 |