Overload List
| # | Signature | Description |
|---|---|---|
| 1 | procedure Histogram(const Data: TVec; const Bins: TVec; const results: TVec); | Histogram. |
| 2 | procedure Histogram(const Data: TVec; const NumBins: Integer; const results: TVec; const Bins: TVec; CenterBins: Boolean); | Divide the Data vector elements into NumBins equal intervals. |
| 3 | procedure Histogram(const Data: TVec; const NumBins: Integer; const results: TVec; const Bins: TVec; CenterBins: Boolean; Max: Double; Min: Double); | Same as above, but here only values between Min and Max parameters will be counted. |
| 4 | procedure Histogram(const Data: TVec; const NumBins: Integer; const results: TVecInt; const Bins: TVec; CenterBins: Boolean); | Divide the Data vector elements into NumBins equal intervals. |
| 5 | procedure Histogram(const Data: TVec; const NumBins: Integer; const results: TVecInt; const Bins: TVec; CenterBins: Boolean; Max: Double; Min: Double); | Same as above, but here only values between Min and Max parameters will be counted. |
Overload 1: procedure Histogram(const Data: TVec; const Bins: TVec; const results: TVec);
Histogram.
| # | Name | Type | Description |
|---|---|---|---|
| 1 | Data | TVec | |
| 2 | Bins | TVec | |
| 3 | results | TVec |
Result: stored in self (calling object)
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.
Uses MtxExpr,Statistics;
procedure Example;
var Data, Bins, Freq: Vector;
begin
Data.SetIt(false,[1,2,3,4,5,6,7,8,9,10]);
Bins.SetIt(false,[1.5, 2, 6, 9]); // define centerpoints, note that values are sorted!
Histogram(Data,Bins, Freq);
// Freq holds the count of elements in each bin
end;Overload 2: procedure Histogram(const Data: TVec; const NumBins: Integer; const results: TVec; const Bins: TVec; CenterBins: Boolean);
Divide the Data vector elements into NumBins equal intervals.
| # | Name | Type | Description |
|---|---|---|---|
| 1 | Data | TVec | |
| 2 | NumBins | Integer | |
| 3 | results | TVec | |
| 4 | Bins | TVec | |
| 5 | CenterBins | Boolean |
Result: stored in self (calling object)
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.
Uses MtxExpr, Statistics, StatRandom;
procedure Example;
var Data, Bins, Freq: Vector;
begin
Data.Size(1000);
RandomNormal(-3,0.2,Data); // generate some normaly distributed data
// Now, divide the data into 15 equal intervals
Histogram(Data,15,Freq,Bins,true);
// Bins holds the 15 intervals centerpoints
// and Freq holds the count of elements in each bin
end;Overload 3: procedure Histogram(const Data: TVec; const NumBins: Integer; const results: TVec; const Bins: TVec; CenterBins: Boolean; Max: Double; Min: Double);
Same as above, but here only values between Min and Max parameters will be counted.
| # | Name | Type | Description |
|---|---|---|---|
| 1 | Data | TVec | |
| 2 | NumBins | Integer | |
| 3 | results | TVec | |
| 4 | Bins | TVec | |
| 5 | CenterBins | Boolean | |
| 6 | Max | Double | scalar |
| 7 | Min | Double | scalar |
Result: stored in self (calling object)
Overload 4: procedure Histogram(const Data: TVec; const NumBins: Integer; const results: TVecInt; const Bins: TVec; CenterBins: Boolean);
Divide the Data vector elements into NumBins equal intervals.
| # | Name | Type | Description |
|---|---|---|---|
| 1 | Data | TVec | |
| 2 | NumBins | Integer | |
| 3 | results | TVecInt | |
| 4 | Bins | TVec | |
| 5 | CenterBins | Boolean |
Result: stored in self (calling object)
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: procedure Histogram(const Data: TVec; const NumBins: Integer; const results: TVecInt; const Bins: TVec; CenterBins: Boolean; Max: Double; Min: Double);
Same as above, but here only values between Min and Max parameters will be counted.
| # | Name | Type | Description |
|---|---|---|---|
| 1 | Data | TVec | |
| 2 | NumBins | Integer | |
| 3 | results | TVecInt | |
| 4 | Bins | TVec | |
| 5 | CenterBins | Boolean | |
| 6 | Max | Double | scalar |
| 7 | Min | Double | scalar |
Result: stored in self (calling object)