Overload List
| # | Signature | Description |
|---|---|---|
| 1 | void Histogram(TVec *Data, TVec *Bins, TVec *results); | Histogram. |
| 2 | void Histogram(TVec *Data, const int NumBins, TVec *results, TVec *Bins, bool CenterBins = false); | Divide the Data vector elements into NumBins equal intervals. |
| 3 | void Histogram(TVec *Data, const int NumBins, TVec *results, TVec *Bins, bool CenterBins, double Max, double Min); | Same as above, but here only values between Min and Max parameters will be counted. |
| 4 | void Histogram(TVec *Data, const int NumBins, TVecInt *results, TVec *Bins, bool CenterBins = false); | Divide the Data vector elements into NumBins equal intervals. |
| 5 | void Histogram(TVec *Data, const int NumBins, TVecInt *results, TVec *Bins, bool CenterBins, double Max, double Min); | Same as above, but here only values between Min and Max parameters will be counted. |
Overload 1: void Histogram(TVec *Data, TVec *Bins, TVec *results);
Histogram.
Divide the Data vector elements into intervals, specified by the Bins vector. The Bins elements define the center points for the intervals. The Bins elements must be sorted in ascending order. The number of elements falling in each interval is counted and the result for each interval (frequency distribution) is written to the Results vector. The Length and Complex properties of the Results vector are adjusted automatically.
Note
Use this version if you need non-equidistant histogram.
Overload 2: void Histogram(TVec *Data, const int NumBins, TVec *results, TVec *Bins, bool CenterBins = false);
Divide the Data vector elements into NumBins equal intervals.
| # | Name | Type | Description |
|---|---|---|---|
| 1 | Data | TVec * | |
| 2 | NumBins | const int | |
| 3 | results | TVec * | |
| 4 | Bins | TVec * | |
| 5 | CenterBins = false | bool |
The number of elements falling in each interval is counted and the result for each interval (frequency distribution) is written to the Results vector. if CenterBins is true then Bins will store bins center points. If CenterBins is false, Bins will store bins edges.The Length and Complex properties of the Results and Bins vectors are adjusted automatically.
Note
Use this version if you need equidistant histogram.
Overload 3: void Histogram(TVec *Data, const int NumBins, TVec *results, TVec *Bins, bool CenterBins, double Max, double Min);
Same as above, but here only values between Min and Max parameters will be counted.
| # | Name | Type | Description |
|---|---|---|---|
| 1 | Data | TVec * | |
| 2 | NumBins | const int | |
| 3 | results | TVec * | |
| 4 | Bins | TVec * | |
| 5 | CenterBins | bool | |
| 6 | Max | double | |
| 7 | Min | double |
Overload 4: void Histogram(TVec *Data, const int NumBins, TVecInt *results, TVec *Bins, bool CenterBins = false);
Divide the Data vector elements into NumBins equal intervals.
| # | Name | Type | Description |
|---|---|---|---|
| 1 | Data | TVec * | |
| 2 | NumBins | const int | |
| 3 | results | TVecInt * | |
| 4 | Bins | TVec * | |
| 5 | CenterBins = false | bool |
The number of elements falling in each interval is counted and the result for each interval (frequency distribution) is written to the Results vector. if CenterBins is true then Bins will store bins center points. If CenterBins is false, Bins will store bins edges.The Length and Complex properties of the Results and Bins vectors are adjusted automatically.
Overload 5: void Histogram(TVec *Data, const int NumBins, TVecInt *results, TVec *Bins, bool CenterBins, double Max, double Min);
Same as above, but here only values between Min and Max parameters will be counted.
| # | Name | Type | Description |
|---|---|---|---|
| 1 | Data | TVec * | |
| 2 | NumBins | const int | |
| 3 | results | TVecInt * | |
| 4 | Bins | TVec * | |
| 5 | CenterBins | bool | |
| 6 | Max | double | |
| 7 | Min | double |