Double |
The DoubleColumn type exposes the following members.
Methods| Name | Description | |
|---|---|---|
  | Abs | Applies Abs(Double) to each element of a double column. |
 | AccumulateChangeData(Object, EventArgs) |
Accumulates the change data of the child. Currently only a flag is set to signal that the table has changed.
(Inherited from DataColumn) |
| AccumulateChangeData(Int32, Int32, Boolean) |
Accumulates the change data provided in the arguments into the m_ChangeData member.
(Inherited from DataColumn) |
| AccumulatedChangeData_SetBackAfterResumeAndSuspend |
Sets the change data without further processing. This function is infrastructure and intended to use only in OnResume after the parent has suspended this node again.
(Inherited from SuspendableDocumentLeafNodeWithSingleAccumulatedDataT) |
| AccumulatedEventData_Clear |
Clears the accumulated event data.
(Inherited from SuspendableDocumentLeafNodeWithSingleAccumulatedDataT) |
| AccumulatedEventData_HasZeroOrOneEventArg |
Determines whether there is no or only one single event arg accumulated. If this is the case, the return value is true. If there is one event arg accumulated, it is returned in the argument singleEventArg.
The return value is false if there is more than one event arg accumulated. In this case the singleEventArg is null on return, and the calling function should use AccumulatedEventData to
enumerate all accumulated event args.
(Inherited from SuspendableDocumentLeafNodeWithSingleAccumulatedDataT) |
| Acos | Applies Acos(Double) to each element of a double column. |
| Add | Adds an item to the ICollectionT. (Inherited from DataColumn) |
| Append |
Appends data from another column to this column
(Inherited from DataColumn) |
| AppendToPosition |
Appends data from another column to this column
(Inherited from DataColumn) |
| Asin | Applies Asin(Double) to each element of a double column. |
| Atan | Applies Atan(Double) to each element of a double column. |
| Atan2(Double, DoubleColumn) | Applies Atan2(Double, Double) to a scalar value and a double column. |
| Atan2(DoubleColumn, DoubleColumn) | Applies Atan2(Double, Double) element-wise to two double columns. |
| Atan2(DoubleColumn, Double) | Applies Atan2(Double, Double) to a double column and a scalar value. |
| Ceiling | Applies Ceiling(Double) to each element of a double column. |
| ChildDisposeMemberT |
Helper function to dispose a child node of this instance. It helps to ensure the correct order: first, the child node is set to null and only then the child node is disposed.
(Inherited from SuspendableDocumentNodeBase) |
| Clear |
Clears all rows.
(Inherited from DataColumn) |
| Clone |
Creates a cloned instance of this object.
(Overrides DataColumnClone) |
| Contains | Determines whether the ICollectionT contains a specific value. (Inherited from DataColumn) |
| CopyDataFrom(Double) | Copies the data from an array into the column. All data in the source array is copied. |
| CopyDataFrom(Object) |
Copies the contents of another column o to this column. An exception should be thrown if the data types of
both columns are incompatible.
(Overrides DataColumnCopyDataFrom(Object)) |
| CopyDataFrom(Double, Int32) | Copies the data from an array into the column. The data from index 0 until count-1 is copied to the destination. |
| CopyDataFrom(IReadOnlyListDouble, Int32) | Copies the data from an read-only into the column. The data from index 0 until count-1 is copied to the destination. |
| CopyHeaderInformationFrom |
copies the header information, like label and so on
from another column to this column
ColumnName and ColumnNumber is not copied!
(Inherited from DataColumn) |
| CopyTo | Copies the elements of the ICollectionT to an Array, starting at a particular Array index. (Inherited from DataColumn) |
| Cos | Applies Cos(Double) to each element of a double column. |
| Cosh | Applies Cosh(Double) to each element of a double column. |
| CreateColumnOfSelectedRows(IAscendingIntegerCollection) |
Creates a new column, consisting only of the selected rows of the original column.
(Inherited from DataColumn) |
| CutToMaximumLength |
Cuts the column to the provided length. The actual length of the column may be less than the provided parameter if the column contains empty elements.
(Inherited from DataColumn) |
| Dispose |
Performs application-defined tasks associated with freeing, releasing, or resetting unmanaged resources.
(Inherited from SuspendableDocumentNodeBase) |
| Dispose(Boolean) |
Releases unmanaged and - optionally - managed resources.
(Inherited from SuspendableDocumentNodeBase) |
| EhParentTunnelingEventHappened |
Is called by the parent when a tunneling event happened into the parent.
(Inherited from SuspendableDocumentNodeBase) |
| EhSelfChanged |
Calls EhSelfChanged(EventArgs) with Empty.
(Inherited from SuspendableDocumentLeafNodeWithEventArgs) |
| EhSelfChanged(EventArgs) |
Called if some member of this instance itself has changed.
(Inherited from SuspendableDocumentLeafNode) |
| EhSelfChanged(Int32, Int32, Boolean) |
This function has to be called by derived classes if any changes in their data occur.
(Inherited from DataColumn) |
| EhSelfTunnelingEventHappened(TunnelingEventArgs) |
Is called by this instance if a tunneling event happened into this instance. The tunneling event triggers the TunneledEvent and is additionally distributed to all childs of this instance.
(Inherited from SuspendableDocumentNodeBase) |
| EhSelfTunnelingEventHappened(TunnelingEventArgs, Boolean) |
Is called by this instance if a tunneling event happened into this instance.
The tunneling event triggers the TunneledEvent and is - depending on the provided parameter - also distributed to all childs of this instance.
(Inherited from SuspendableDocumentNodeBase) |
| Equals | Determines whether the specified object is equal to the current object. (Inherited from Object) |
| Exp | Applies Exp(Double) to each element of a double column. |
| Finalize |
Finalizes an instance of the SuspendableDocumentNodeBase class.
(Inherited from SuspendableDocumentNodeBase) |
| Floor | Applies Floor(Double) to each element of a double column. |
| FractionalIndexOf | Searches for an index idx for which the value value lies in the (unordered) interval [this[idx-1], this[idx]]. If such an index is found, the fractional index is returned. If no such index is found, the return value is null. |
| GetColumnStyleType |
Returns the type of the associated ColumnStyle for use in a worksheet view. (Overrides DataColumnGetColumnStyleType) |
| GetEnumerator | Returns an enumerator that iterates through the collection. (Inherited from DataColumn) |
| GetHashCode | Serves as the default hash function. (Inherited from Object) |
| GetLinearlyInterpolatedValueAt | Counterpart to FractionalIndexOf(Double). Gets a linearly interpolated value at a given fractional index. If the given index is < 0, the value at index 0 is returned; if the index is >=Count-1, the value at index Count-1 is returned. |
| GetType | Gets the Type of the current instance. (Inherited from Object) |
| GetUsedLength | Returns the used length of the array. This is one plus the highest index of the number different from Double.NaN. |
| GetValueDirect | Gets the raw value stored at the specified index. |
| GetVariantAt |
This returns the value at a given index i as AltaxoVariant.
(Overrides DataColumnGetVariantAt(Int32)) |
| HandleLowPriorityChildChangeCases |
Handles the cases when a child changes, but a reaction is necessary only if the node is currently not suspended.
(Inherited from SuspendableDocumentLeafNode) |
| IEEERemainder(Double, DoubleColumn) | Applies IEEERemainder(Double, Double) to a scalar value and a double column. |
| IEEERemainder(DoubleColumn, DoubleColumn) | Applies IEEERemainder(Double, Double) element-wise to two double columns. |
| IEEERemainder(DoubleColumn, Double) | Applies IEEERemainder(Double, Double) to a double column and a scalar value. |
| IndexOf | Determines the index of a specific item in the IListT. (Inherited from DataColumn) |
| IndicesOf |
Gets all indices where the element is equal to the value given in item.
(Inherited from DataColumn) |
| Insert | Inserts an item to the IListT at the specified index. (Inherited from DataColumn) |
| InsertRows |
Inserts nCount empty rows before row number nBeforeRow.
(Overrides DataColumnInsertRows(Int32, Int32)) |
| IsElementEmpty |
This function is used to determine if the element at index i is valid or not. If it is valid,
the derived class function has to return false. If it is empty or not valid, the function has
to return true.
(Overrides DataColumnIsElementEmpty(Int32)) |
| Log(DoubleColumn) | Applies Log(Double) to each element of a double column. |
| Log(Double, DoubleColumn) | Applies Log(Double, Double) to a scalar value with element-wise bases from a double column. |
| Log(DoubleColumn, DoubleColumn) | Applies Log(Double, Double) element-wise to two double columns. |
| Log(DoubleColumn, Double) | Applies Log(Double, Double) to a double column with a scalar base. |
| Log10 | Applies Log10(Double) to each element of a double column. |
| Map(FuncDouble, Double, DoubleColumn) | Applies a unary mapping function to each element of a double column. |
| Map(FuncDouble, Double, Double, DoubleColumn, DoubleColumn) | Applies a binary mapping function element-wise to two double columns. |
| Map(FuncDouble, Double, Double, DoubleColumn, Double) | Applies a binary mapping function to a double column and a scalar value. |
| Map(FuncDouble, Double, Double, Double, DoubleColumn) | Applies a binary mapping function to a scalar value and a double column. |
| Max(Double, DoubleColumn) | Applies Max(Double, Double) to a scalar value and a double column. |
| Max(DoubleColumn, DoubleColumn) | Applies Max(Double, Double) element-wise to two double columns. |
| Max(DoubleColumn, Double) | Applies Max(Double, Double) to a double column and a scalar value. |
| MemberwiseClone | Creates a shallow copy of the current Object. (Inherited from Object) |
| Min(Double, DoubleColumn) | Applies Min(Double, Double) to a scalar value and a double column. |
| Min(DoubleColumn, DoubleColumn) | Applies Min(Double, Double) element-wise to two double columns. |
| Min(DoubleColumn, Double) | Applies Min(Double, Double) to a double column and a scalar value. |
| OnAboutToBeResumed |
Is called when the suspend level is still 1 (one), but is about to fall to zero, i.e. shortly before the call to OnResume. This function is not called before OnResumeSilently!
(Inherited from SuspendableDocumentLeafNode) |
| OnChanged |
Fires the change event with the EventArgs provided in the argument.
(Inherited from SuspendableDocumentNodeBase) |
| OnResume |
Is called when the suspend level falls down from 1 to zero by a call to Resume or a call to [M:Altaxo.Main.ISuspendToken.Dispose()].
(Inherited from SuspendableDocumentLeafNode) |
| OnResumeSilently |
Is called when the suspend level falls down from 1 to zero by a call to ResumeSilently.
The implementation should delete any accumulated events, should also disarm the suspendTokens of the childs of this object, and should not fire any Changed events nor set the change state of the object to dirty.
(Inherited from SuspendableDocumentLeafNode) |
| OnSuspended |
Called when the suspend level has just gone from 0 to 1, i.e. the object was suspended.
(Inherited from SuspendableDocumentLeafNode) |
| OnTunnelingEvent |
Fires the TunneledEvent event.
(Inherited from SuspendableDocumentNodeBase) |
| Pow(Double, DoubleColumn) | Applies Pow(Double, Double) to a scalar base with element-wise exponents from a double column. |
| Pow(DoubleColumn, DoubleColumn) | Applies Pow(Double, Double) element-wise to two double columns. |
| Pow(DoubleColumn, Double) | Applies Pow(Double, Double) to a double column with a scalar exponent. |
| Pow(DoubleColumn, Int32) | Raises each element of a double column to the specified integer power. |
| Pow2 | Squares each element of a double column. |
| Pow3 | Cubes each element of a double column. |
| Pow4 | Raises each element of a double column to the fourth power. |
| Pow5 | Raises each element of a double column to the fifth power. |
| Pow6 | Raises each element of a double column to the sixth power. |
| Pow7 | Raises each element of a double column to the seventh power. |
| Pow8 | Raises each element of a double column to the eighth power. |
| Pow9 | Raises each element of a double column to the ninth power. |
| Realloc | Reallocates the internal storage so that the specified index can be addressed. |
| Remove | Removes the first occurrence of a specific object from the ICollectionT. (Inherited from DataColumn) |
| RemoveAt | Removes the IListT item at the specified index. (Inherited from DataColumn) |
| RemoveRows |
Removes a number of rows (given by nCount) beginning from nFirstRow,
i.e. remove rows number nFirstRow ... nFirstRow+nCount-1.
(Overrides DataColumnRemoveRows(Int32, Int32)) |
| Resume(ISuspendToken) |
Resumes changed events by calling Resume for the provided suspend token, and setting the reference to the suspend token to null.
If Event data were accumulated during the suspended state, a changed event is triggered for each event data.
(Inherited from SuspendableDocumentNodeBase) |
| Resume(ISuspendToken, EventFiring) |
Resumes changed events, either with taking the accumulated event data into account (see Resume(ISuspendToken)) or discarding the accumulated event data (see ResumeSilently(ISuspendToken),
depending on the provided argument eventFiring.
(Inherited from SuspendableDocumentNodeBase) |
| ResumeCompleteTemporarily |
Resumes the object completely for only a short time. Thus, if object was suspended before, it will be suspended again when the function returns.
(Inherited from SuspendableDocumentLeafNode) |
| ResumeCompleteTemporarilyGetToken |
Resumes the object completely for the time the returned token is referenced and not disposed.
The return value is a token that had 'absorbed' the suspend count of the object, resulting in the suspend count
of the object dropped to 0 (zero). When the returned token is finally disposed, the suspend count of the object is increased again by the 'absorbed' suspend count.
(Inherited from SuspendableDocumentLeafNode) |
| ResumeSilently |
Resumes changed events by calling Resume for the provided suspend token, and setting the reference to the suspend token to null.
All event data accumulated during the suspended state are discarded, and thus no change event is triggered even if the instance has changed during the suspended state.
(Inherited from SuspendableDocumentNodeBase) |
| Round(DoubleColumn) | Applies Round(Double) to each element of a double column. |
| Round(Double, DoubleColumn) | Applies Round(Double, Int32) to a scalar value with element-wise precision values from a double column. |
| Round(DoubleColumn, DoubleColumn) | Applies Round(Double, Int32) to a double column with element-wise precision values from another column. |
| Round(DoubleColumn, Int32) | Applies Round(Double, Int32) to a double column with a scalar precision. |
| SetDisposeInProgress |
Sets the flag that dispose is in progress for this node and all child nodes recursively.
(Inherited from SuspendableDocumentNodeBase) |
| SetElementEmpty |
This clears the cell at index i.
(Overrides DataColumnSetElementEmpty(Int32)) |
| SetMemberAndRaiseSelfChangedT(NullableT, NullableT) |
Sets a member variable of this instance and raise a change event with Empty if the new value is different from the old value.
The comparison is done using the IEquatableT interface of the member variable.
Note: to set members that implement IDocumentNode please use the Child... functions.
(Inherited from SuspendableDocumentNodeBase) |
| SetMemberAndRaiseSelfChangedT(T, T) |
Sets a member variable of this instance and raise a change event with Empty if the new value is different from the old value.
The comparison is done using the IEquatableT interface of the member variable.
Note: to set members that implement IDocumentNode please use the Child... functions.
(Inherited from SuspendableDocumentNodeBase) |
| SetMemberEnumAndRaiseSelfChangedT |
Sets a member variable (which is an Enum) of this instance and raise a change event with Empty if the new value is different from the old value.
The comparison is done using the IEquatableT interface of the member variable.
Note: to set members that implement IDocumentNode please use the Child... functions.
(Inherited from SuspendableDocumentNodeBase) |
| SetValueAt |
Sets the value at a given index i with a value val, which is a AltaxoVariant.
(Overrides DataColumnSetValueAt(Int32, AltaxoVariant)) |
| Sign | Applies Sign(Double) to each element of a double column. |
| Sin | Applies Sin(Double) to each element of a double column. |
| Sinh | Applies Sinh(Double) to each element of a double column. |
| Sqrt | Applies Sqrt(Double) to each element of a double column. |
| Subtraction(DateTime, DateTimeColumn) | Calculates the difference in seconds between a constant date-time value and a date-time column. |
| Subtraction(DateTimeColumn, DateTimeColumn) | Calculates the difference in seconds between two date-time columns. |
| Subtraction(DateTimeColumn, DateTime) | Calculates the difference in seconds between a date-time column and a constant date-time value. |
| SuspendGetToken |
Suspend will increase the SuspendLevel.
(Inherited from SuspendableDocumentLeafNode) |
| Tan | Applies Tan(Double) to each element of a double column. |
| Tanh | Applies Tanh(Double) to each element of a double column. |
| ToArray | Gets a copy of the data (of actual row count, starting from position 0). |
| ToArray(Int32, Int32) | Gets a copy of the data (of actual length, starting from position 0). |
| ToROVector |
Creates a wrapper that implements IROVector with starting index = 0 and number of elements = Count.
(Inherited from DataColumn) |
| ToROVector(Int32, Int32) |
Provides a setter property to which a readonly vector can be assigned to. Copies all elements of the readonly vector to this column.
The getter property creates a wrapper for this data column that implements IROVector. For short-time use only, since it reflects changes in the data, but not in the length of the DoubleColumn.
(Overrides DataColumnToROVector(Int32, Int32)) |
| ToString | Returns a string that represents the current object. (Inherited from Object) |
| ToVector |
Creates a wrapper that implements IVector with starting index = 0 and number of elements = Count.
(Inherited from DataColumn) |
| ToVector(Int32, Int32) |
Creates a wrapper that implements IVector.
(Overrides DataColumnToVector(Int32, Int32)) |
| TryGetName |
Test if this item already has a name.
(Inherited from SuspendableDocumentNodeBase) |
| vop_Addition(AltaxoVariant, DataColumn) |
Adds a scalar value to this data column.
(Overrides DataColumnvop_Addition(AltaxoVariant, DataColumn)) |
| vop_Addition(DataColumn, DataColumn) |
Adds another data column to this data column (item by item).
(Overrides DataColumnvop_Addition(DataColumn, DataColumn)) |
| vop_Addition_Rev(AltaxoVariant, DataColumn) |
Adds this data column to a scalar value in reverse operand order.
(Overrides DataColumnvop_Addition_Rev(AltaxoVariant, DataColumn)) |
| vop_Addition_Rev(DataColumn, DataColumn) |
Adds this data column to another data column in reverse operand order.
(Overrides DataColumnvop_Addition_Rev(DataColumn, DataColumn)) |
| vop_And(AltaxoVariant, DataColumn) |
Applies a logical AND between this data column and a scalar value.
(Overrides DataColumnvop_And(AltaxoVariant, DataColumn)) |
| vop_And(DataColumn, DataColumn) |
Applies a logical AND between this data column and another data column.
(Overrides DataColumnvop_And(DataColumn, DataColumn)) |
| vop_And_Rev(AltaxoVariant, DataColumn) |
Applies a logical AND between a scalar value and this data column in reverse operand order.
(Overrides DataColumnvop_And_Rev(AltaxoVariant, DataColumn)) |
| vop_And_Rev(DataColumn, DataColumn) |
Applies a logical AND between another data column and this data column in reverse operand order.
(Overrides DataColumnvop_And_Rev(DataColumn, DataColumn)) |
| vop_Complement |
Applies the bitwise complement operator.
(Overrides DataColumnvop_Complement(DataColumn)) |
| vop_Decrement |
Applies the decrement operator.
(Overrides DataColumnvop_Decrement(DataColumn)) |
| vop_Division(AltaxoVariant, DataColumn) |
Divides this data column by a scalar value.
(Overrides DataColumnvop_Division(AltaxoVariant, DataColumn)) |
| vop_Division(DataColumn, DataColumn) |
Divides this data column by another data column(item by item).
(Overrides DataColumnvop_Division(DataColumn, DataColumn)) |
| vop_Division_Rev(AltaxoVariant, DataColumn) |
Divides a scalar value by this data column.
(Overrides DataColumnvop_Division_Rev(AltaxoVariant, DataColumn)) |
| vop_Division_Rev(DataColumn, DataColumn) |
Divides another data column by this data column.
(Overrides DataColumnvop_Division_Rev(DataColumn, DataColumn)) |
| vop_False |
Evaluates whether this column should be treated as logically false.
(Inherited from DataColumn) |
| vop_Greater(AltaxoVariant, DataColumn) |
Tests whether this data column is greater than a scalar value.
(Overrides DataColumnvop_Greater(AltaxoVariant, DataColumn)) |
| vop_Greater(DataColumn, DataColumn) |
Tests whether this data column is greater than another data column.
(Overrides DataColumnvop_Greater(DataColumn, DataColumn)) |
| vop_Greater_Rev(AltaxoVariant, DataColumn) |
Tests whether a scalar value is greater than this data column.
(Overrides DataColumnvop_Greater_Rev(AltaxoVariant, DataColumn)) |
| vop_Greater_Rev(DataColumn, DataColumn) |
Tests whether another data column is greater than this data column.
(Overrides DataColumnvop_Greater_Rev(DataColumn, DataColumn)) |
| vop_GreaterOrEqual(AltaxoVariant, DataColumn) |
Tests whether this data column is greater than or equal to a scalar value.
(Overrides DataColumnvop_GreaterOrEqual(AltaxoVariant, DataColumn)) |
| vop_GreaterOrEqual(DataColumn, DataColumn) |
Tests whether this data column is greater than or equal to another data column.
(Overrides DataColumnvop_GreaterOrEqual(DataColumn, DataColumn)) |
| vop_GreaterOrEqual_Rev(AltaxoVariant, DataColumn) |
Tests whether a scalar value is greater than or equal to this data column.
(Overrides DataColumnvop_GreaterOrEqual_Rev(AltaxoVariant, DataColumn)) |
| vop_GreaterOrEqual_Rev(DataColumn, DataColumn) |
Tests whether another data column is greater than or equal to this data column.
(Overrides DataColumnvop_GreaterOrEqual_Rev(DataColumn, DataColumn)) |
| vop_Increment |
Applies the increment operator.
(Overrides DataColumnvop_Increment(DataColumn)) |
| vop_Lesser(AltaxoVariant, DataColumn) |
Tests whether this data column is less than a scalar value.
(Overrides DataColumnvop_Lesser(AltaxoVariant, DataColumn)) |
| vop_Lesser(DataColumn, DataColumn) |
Tests whether this data column is less than another data column.
(Overrides DataColumnvop_Lesser(DataColumn, DataColumn)) |
| vop_Lesser_Rev(AltaxoVariant, DataColumn) |
Tests whether a scalar value is less than this data column.
(Overrides DataColumnvop_Lesser_Rev(AltaxoVariant, DataColumn)) |
| vop_Lesser_Rev(DataColumn, DataColumn) |
Tests whether another data column is less than this data column.
(Overrides DataColumnvop_Lesser_Rev(DataColumn, DataColumn)) |
| vop_LesserOrEqual(AltaxoVariant, DataColumn) |
Tests whether this data column is less than or equal to a scalar value.
(Overrides DataColumnvop_LesserOrEqual(AltaxoVariant, DataColumn)) |
| vop_LesserOrEqual(DataColumn, DataColumn) |
Tests whether this data column is less than or equal to another data column.
(Overrides DataColumnvop_LesserOrEqual(DataColumn, DataColumn)) |
| vop_LesserOrEqual_Rev(AltaxoVariant, DataColumn) |
Tests whether a scalar value is less than or equal to this data column.
(Overrides DataColumnvop_LesserOrEqual_Rev(AltaxoVariant, DataColumn)) |
| vop_LesserOrEqual_Rev(DataColumn, DataColumn) |
Tests whether another data column is less than or equal to this data column.
(Overrides DataColumnvop_LesserOrEqual_Rev(DataColumn, DataColumn)) |
| vop_Minus |
Applies the unary minus operator.
(Overrides DataColumnvop_Minus(DataColumn)) |
| vop_Modulo(AltaxoVariant, DataColumn) |
Calculates the modulo of this data column with a scalar value.
(Overrides DataColumnvop_Modulo(AltaxoVariant, DataColumn)) |
| vop_Modulo(DataColumn, DataColumn) |
Calculates the modulo of this data column with another data column.
(Overrides DataColumnvop_Modulo(DataColumn, DataColumn)) |
| vop_Modulo_Rev(AltaxoVariant, DataColumn) |
Calculates the modulo of a scalar value with this data column.
(Overrides DataColumnvop_Modulo_Rev(AltaxoVariant, DataColumn)) |
| vop_Modulo_Rev(DataColumn, DataColumn) |
Calculates the modulo of another data column with this data column.
(Overrides DataColumnvop_Modulo_Rev(DataColumn, DataColumn)) |
| vop_Multiplication(AltaxoVariant, DataColumn) |
Multiplies this data column by a scalar value.
(Overrides DataColumnvop_Multiplication(AltaxoVariant, DataColumn)) |
| vop_Multiplication(DataColumn, DataColumn) |
Multiplies another data column to this data column (item by item).
(Overrides DataColumnvop_Multiplication(DataColumn, DataColumn)) |
| vop_Multiplication_Rev(AltaxoVariant, DataColumn) |
Multiplies a scalar value by this data column in reverse operand order.
(Overrides DataColumnvop_Multiplication_Rev(AltaxoVariant, DataColumn)) |
| vop_Multiplication_Rev(DataColumn, DataColumn) |
Multiplies another data column with this data column in reverse operand order.
(Overrides DataColumnvop_Multiplication_Rev(DataColumn, DataColumn)) |
| vop_Not |
Applies the logical NOT operator.
(Overrides DataColumnvop_Not(DataColumn)) |
| vop_Or(AltaxoVariant, DataColumn) |
Applies a logical OR between this data column and a scalar value.
(Overrides DataColumnvop_Or(AltaxoVariant, DataColumn)) |
| vop_Or(DataColumn, DataColumn) |
Applies a logical OR between this data column and another data column.
(Overrides DataColumnvop_Or(DataColumn, DataColumn)) |
| vop_Or_Rev(AltaxoVariant, DataColumn) |
Applies a logical OR between a scalar value and this data column in reverse operand order.
(Overrides DataColumnvop_Or_Rev(AltaxoVariant, DataColumn)) |
| vop_Or_Rev(DataColumn, DataColumn) |
Applies a logical OR between another data column and this data column in reverse operand order.
(Overrides DataColumnvop_Or_Rev(DataColumn, DataColumn)) |
| vop_Plus |
Applies the unary plus operator.
(Overrides DataColumnvop_Plus(DataColumn)) |
| vop_ShiftLeft(AltaxoVariant, DataColumn) |
Shifts this data column left by a scalar value.
(Overrides DataColumnvop_ShiftLeft(AltaxoVariant, DataColumn)) |
| vop_ShiftLeft(DataColumn, DataColumn) |
Shifts this data column left by the values of another data column.
(Overrides DataColumnvop_ShiftLeft(DataColumn, DataColumn)) |
| vop_ShiftLeft_Rev(AltaxoVariant, DataColumn) |
Shifts a scalar value left by this data column in reverse operand order.
(Overrides DataColumnvop_ShiftLeft_Rev(AltaxoVariant, DataColumn)) |
| vop_ShiftLeft_Rev(DataColumn, DataColumn) |
Shifts another data column left by this data column in reverse operand order.
(Overrides DataColumnvop_ShiftLeft_Rev(DataColumn, DataColumn)) |
| vop_ShiftRight(AltaxoVariant, DataColumn) |
Shifts this data column right by a scalar value.
(Overrides DataColumnvop_ShiftRight(AltaxoVariant, DataColumn)) |
| vop_ShiftRight(DataColumn, DataColumn) |
Shifts this data column right by the values of another data column.
(Overrides DataColumnvop_ShiftRight(DataColumn, DataColumn)) |
| vop_ShiftRight_Rev(AltaxoVariant, DataColumn) |
Shifts a scalar value right by this data column in reverse operand order.
(Overrides DataColumnvop_ShiftRight_Rev(AltaxoVariant, DataColumn)) |
| vop_ShiftRight_Rev(DataColumn, DataColumn) |
Shifts another data column right by this data column in reverse operand order.
(Overrides DataColumnvop_ShiftRight_Rev(DataColumn, DataColumn)) |
| vop_Subtraction(AltaxoVariant, DataColumn) |
Subtracts a scalar value from this data column.
(Overrides DataColumnvop_Subtraction(AltaxoVariant, DataColumn)) |
| vop_Subtraction(DataColumn, DataColumn) |
Subtracts another data column from this data column (item by item).
(Overrides DataColumnvop_Subtraction(DataColumn, DataColumn)) |
| vop_Subtraction_Rev(AltaxoVariant, DataColumn) |
Subtracts this data column from a scalar value.
(Overrides DataColumnvop_Subtraction_Rev(AltaxoVariant, DataColumn)) |
| vop_Subtraction_Rev(DataColumn, DataColumn) |
Subtracts this data column from another data column.
(Overrides DataColumnvop_Subtraction_Rev(DataColumn, DataColumn)) |
| vop_True |
Evaluates whether this column should be treated as logically true.
(Inherited from DataColumn) |
| vop_Xor(AltaxoVariant, DataColumn) |
Applies an exclusive OR between this data column and a scalar value.
(Overrides DataColumnvop_Xor(AltaxoVariant, DataColumn)) |
| vop_Xor(DataColumn, DataColumn) |
Applies an exclusive OR between this data column and another data column.
(Overrides DataColumnvop_Xor(DataColumn, DataColumn)) |
| vop_Xor_Rev(AltaxoVariant, DataColumn) |
Applies an exclusive OR between a scalar value and this data column in reverse operand order.
(Overrides DataColumnvop_Xor_Rev(AltaxoVariant, DataColumn)) |
| vop_Xor_Rev(DataColumn, DataColumn) |
Applies an exclusive OR between another data column and this data column in reverse operand order.
(Overrides DataColumnvop_Xor_Rev(DataColumn, DataColumn)) |
Extension Methods| Name | Description | |
|---|---|---|
 | Any |
Determines whether the given vector contains any elements.
(Defined by VectorMath) |
| Any |
Determines whether any element of the vector satisfies a condition.
(Defined by VectorMath) |
| Any |
Determines whether any element of the vector satisfies a condition.
(Defined by VectorMath) |
| Average |
Returns the average (=sum/N) of the elements in vector.
(Defined by VectorMath) |
| CompoundReturn |
Compound monthly return, geometric return, or annualized return.
(Defined by AbsoluteReturnMeasures) |
| Covariance |
Estimates the unbiased population covariance from the provided samples.
On a dataset of size N will use an N-1 normalizer (Bessel's correction).
Returns NaN if data has less than two entries or if any entry is NaN.
(Defined by Statistics) |
| DownsideDeviation |
This measure is similar to the loss standard deviation except the downside deviation
considers only returns that fall below a defined minimum acceptable return (MAR) rather than the arithmetic mean.
For example, if the MAR is 7%, the downside deviation would measure the variation of each period that falls below
7%. (The loss standard deviation, on the other hand, would take only losing periods, calculate an average return for
the losing periods, and then measure the variation between each losing return and the losing return average).
(Defined by AbsoluteRiskMeasures) |
| ElementsAtDouble |
Extracts the elements at the specified indices from the array.
(Defined by VectorMath) |
| ElementsWhereDouble |
Selects elements from the array where the corresponding condition element is true.
(Defined by VectorMath) |
| ElementsWhereDouble |
Selects elements from the array where the corresponding condition element is true.
(Defined by VectorMath) |
| EmpiricalCDF |
Estimates the empirical cumulative distribution function (CDF) at x from the provided samples.
(Defined by Statistics) |
| EmpiricalCDFFunc |
Estimates the empirical cumulative distribution function (CDF) at x from the provided samples.
(Defined by Statistics) |
| EmpiricalInvCDF |
Estimates the empirical inverse CDF at tau from the provided samples.
(Defined by Statistics) |
| EmpiricalInvCDFFunc |
Estimates the empirical inverse CDF at tau from the provided samples.
(Defined by Statistics) |
| EuclideanNorm | Given an n-vector x, this function calculates the euclidean norm of x. (Defined by VectorMath) |
| ExcessKurtosisOfNormalized |
Returns the excess kurtosis of the elements in vector. The excess kurtosis is defined as
excesskurtosis(X) = E{X^4} - 3(E{X²})².
(Defined by VectorMath) |
| FirstOrDouble |
Returns the first value of the enumeration, or, if the enumeration is empty, the other value provided in the arguments.
(Defined by EnumerableExtensions) |
| FiveNumberSummary |
Estimates {min, lower-quantile, median, upper-quantile, max} from the provided samples.
Approximately median-unbiased regardless of the sample distribution (R8).
(Defined by Statistics) |
| FlattenFromRootToLeavesDouble |
Converts a recursive data structure into a flat list. The root element is enumerated before its corresponding child element(s).
(Defined by EnumerableExtensions) |
| ForEachDoDouble |
Executes an action for each element of the sequence.
(Defined by EnumerableExtensions) |
| GainLossRatio |
Measures a fund’s average gain in a gain period divided by the fund’s average loss in a losing
period. Periods can be monthly or quarterly depending on the data frequency.
(Defined by AbsoluteRiskMeasures) |
| GainMean |
Average gain, or gain mean.
This is a simple average (arithmetic mean) of the periods with a gain. It is calculated by summing the returns for gain periods (return >= 0)
and then dividing the total by the number of gain periods.
(Defined by AbsoluteReturnMeasures) |
| GainStandardDeviation |
Calculation is similar to Standard Deviation , except it calculates an average (mean) return only for periods with a gain
and measures the variation of only the gain periods around the gain mean. Measures the volatility of upside performance.
© Copyright 1996, 1999 Gary L.Gastineau. First Edition. © 1992 Swiss Bank Corporation.
(Defined by AbsoluteRiskMeasures) |
| GeometricMean |
Evaluates the geometric mean.
Returns NaN if data is empty or if any entry is NaN.
(Defined by Statistics) |
| GetDifferences |
Gets the differences x[i+1] - x[i], for i = 0 .. x.Count-2.
(Defined by EnumerableExtensions) |
| GetPossibleStepsToMoveTowardsHigherIndicesDouble |
Returns the number of steps that selected items can be moved towards higher indices. The selected item with the highest index determines that value.
(Defined by ListExtensions) |
| GetPossibleStepsToMoveTowardsLowerIndicesDouble |
Returns the number of steps that selected items can be moved towards lower indices. The selected item with the lowest index determines that value.
(Defined by ListExtensions) |
| GetSameOrDefaultDouble, S |
Gets the same element if all elements of the enumeration (after a transformation) are the same. If the elements in the enumeration are different, the return value is null or default.
(Defined by EnumerableExtensions) |
| GetUnderlyingDataColumnOrDefault |
Gets the underlying data column (of type DataColumn) or the default value null.
(Defined by TransformedReadableColumnExtensions) |
| GetUsedLength |
Returns the used length of the vector. This is one more than the highest index of the element that is different from NaN.
(Defined by VectorMath) |
| GetUsedLength |
Returns the used length of the vector. This is one more than the highest index of the element that is different from Double.NaN.
(Defined by VectorMath) |
| HarmonicMean |
Evaluates the harmonic mean.
Returns NaN if data is empty or if any entry is NaN.
(Defined by Statistics) |
| HasSingleElementDouble |
Determines whether the specified enumeration has exactly one element.
(Defined by EnumerableExtensions) |
| IndexOfDouble |
Gets the index of an item in an enumeration or list.
(Defined by ListExtensions) |
| IndexOfFirstDouble |
Gets the index of the first item in list that fulfills the predicate predicate.
(Defined by ListExtensions) |
| IndexOfFirstDouble |
Gets the index of the first item in list that fulfills the predicate predicate.
(Defined by ListExtensions) |
| IndexOfMaxDouble |
Return the index of the element with the maximum value in an enumerable.
If multiple elements with the same maximal value exist, the index of the first element in the sequence is returned.
(Defined by EnumerableExtensions) |
| IndexOfMaxAbsoluteValue | Return the index of the first element with the maximum absolute value in a vector (Defined by VectorMath) |
| IndexOfMaxValue | Return the index of the first element with the maximum value in a vector (Defined by VectorMath) |
| IndexOfMinDouble | Return the index of the element with the minimum value in an enumerable.
If multiple elements with the same minimal value exist, the index of the first element in the sequence is returned. (Defined by EnumerableExtensions) |
| IndexOfMinAbsoluteValue | Return the index of the first element with the minimum absolute value in a vector (Defined by VectorMath) |
| IndexOfMinValue | Return the index of the first element with the minimum value in a vector (Defined by VectorMath) |
| IndicesInt32AndValuesWhereDouble |
Returns tuples of index and element of all elements in an enumeration which fullfill a given condition, given by the element's value.
(Defined by EnumerableExtensions) |
| IndicesInt32AndValuesWhereDouble |
Returns tuples of index and element of all elements in an enumeration which fullfill a given condition, given by the element's value and its index.
(Defined by EnumerableExtensions) |
| IndicesInt32WhereDouble |
Returns the indices of the elements which fullfill a given condition, given by the element's value.
(Defined by EnumerableExtensions) |
| IndicesInt32WhereDouble |
Returns the indices of the elements which fullfill a given condition, given by the element's value and its index.
(Defined by EnumerableExtensions) |
| IndicesOfMinMaxDouble |
Return the index of the element with the minimum value in an enumerable.
If multiple elements with the same minimal value exist, the index of the first element in the sequence is returned.
(Defined by EnumerableExtensions) |
| InterquartileRange |
Estimates the inter-quartile range from the provided samples.
Approximately median-unbiased regardless of the sample distribution (R8).
(Defined by Statistics) |
| InterQuartileRange |
Calculates the interquartile range (IQR) of the sequence.
(Defined by Statistics) |
| IsEmptyDouble |
Determines whether the specified enumeration is empty.
(Defined by EnumerableExtensions) |
| IsMonotonicallyIncreasing |
Determines if column c has monotonically increasing values.
(Defined by ColumnMath) |
| IsStrictlyDecreasing |
Returns true if the sequence given by the vector argument is strictly decreasing.
(Defined by VectorMath) |
| IsStrictlyIncreasing |
Returns true if the sequence given by the vector argument is strictly increasing.
(Defined by VectorMath) |
| IsStrictlyIncreasingOrDecreasing |
Returns true if the sequence given by the vector argument is strictly increasing or decreasing.
(Defined by VectorMath) |
| IsStrictlyIncreasingOrDecreasing |
Returns true if the sequence given by the vector argument is strictly increasing or decreasing.
(Defined by VectorMath) |
| JoinConditionalDouble, T2 |
Takes a join of two sequences, but only takes into account those pair, which fulfill a given condition.
(Defined by EnumerableExtensions) |
| JoinConditionalDouble, T2, TResult |
Takes a join of two sequences, but only takes into account those pair, which fulfill a given condition.
(Defined by EnumerableExtensions) |
| Kurtosis |
Returns the kurtosis of the elements in vector. The kurtosis is defined as
kurtosis(X) = E{(X-µ)^4}/((E{(X-µ)²})².
(Defined by VectorMath) |
| Kurtosis |
Estimates the unbiased population kurtosis from the provided samples.
Uses a normalizer (Bessel's correction; type 2).
Returns NaN if data has less than four entries or if any entry is NaN.
(Defined by Statistics) |
| L1Norm |
Calculates the L1 norm of the vector (as the sum of the absolute values of the elements).
(Defined by VectorMath) |
| L2Norm | Given an n-vector x, this function calculates the euclidean norm of x. (Defined by VectorMath) |
| L2Norm | Given an n-vector x, this function calculates the euclidean norm of x. (Defined by VectorMath) |
| LastOrDouble |
Returns the last value of the enumeration, or, if the enumeration is empty, the other value provided in the arguments.
(Defined by EnumerableExtensions) |
| LInfinityNorm |
Returns the L-infinity norm of the provided vector (as is the maximum of the absolute value of the elements). If one
of the elements of the vector is invalid, the return value is also invalid (for the floating point types).
(Defined by VectorMath) |
| LossMean |
Average loss, or loss mean.
This is a simple average (arithmetic mean) of the periods with a loss. It is calculated by summing the returns for loss periods (return < 0)
and then dividing the total by the number of loss periods.
(Defined by AbsoluteReturnMeasures) |
| LossStandardDeviation |
Similar to standard deviation, except this statistic calculates an average (mean) return for only the periods with a loss and then
measures the variation of only the losing periods around this loss mean. This statistic measures the volatility of downside performance.
(Defined by AbsoluteRiskMeasures) |
| LowerQuartile |
Estimates the first quartile value from the provided samples.
Approximately median-unbiased regardless of the sample distribution (R8).
(Defined by Statistics) |
| LpNorm | Compute the p Norm of this vector. (Defined by VectorMath) |
| MassDistribution |
Computes a mass distribution (binned weighted counts) for use in kernel density estimation.
(Defined by Statistics) |
| Max |
Returns the maximum of the elements in vector.
(Defined by VectorMath) |
| Max |
Returns the maximum of the elements in vector.
(Defined by VectorMath) |
| MaxElementDouble, M |
Gets the element of a IEnumerabe that evaluates by means of a conversion function to the maximal value.
This is different from Select(x => conversion(x)).Max() insofar as it not returns the maximum value, but the original element x which converts to the maximum value.
(Defined by EnumerableExtensions) |
| Maximum |
Returns the maximum value in the sample data.
Returns NaN if data is empty or if any entry is NaN.
(Defined by Statistics) |
| MaximumAbsolute |
Returns the maximum absolute value in the sample data.
Returns NaN if data is empty or if any entry is NaN.
(Defined by Statistics) |
| MaxOf |
Creates a new vector, whose elements are the maximum of the elements of a given input vector and a given number.
(Defined by VectorMath) |
| MaxOfValidElements |
Returns the maximum value of all the valid elements in x (nonvalid elements, i.e. NaN values are not considered).
(Defined by VectorMath) |
| MaxOrDefaultDouble |
Evaluates the maximum of a enumeration of elements, or returns a default value if the series is empty.
(Defined by EnumerableExtensions) |
| MaxOrDefaultDouble, M |
Evaluates the maximum of a enumeration of elements, or returns a default value if the series is empty.
(Defined by EnumerableExtensions) |
| Mean |
Returns the average (=sum/N) of the elements in vector.
(Defined by VectorMath) |
| Mean |
Calculates the arithmetic mean of the sequence.
(Defined by Statistics) |
| Mean |
Evaluates the sample mean, an estimate of the population mean.
Returns NaN if data is empty or if any entry is NaN.
(Defined by Statistics) |
| Mean |
Calculates the arithmetic mean of the sequence, optionally ignoring NaN values.
(Defined by Statistics) |
| MeanAndVariance |
Returns the average (=sum/N) of the elements in vector, as well as the variance (sum of squares of the mean centered values divided by length of the vector).
(Defined by VectorMath) |
| MeanStandardDeviation |
Estimates the sample mean and the unbiased population standard deviation from the provided samples.
On a dataset of size N will use an N-1 normalizer (Bessel's correction).
Returns NaN for mean if data is empty or if any entry is NaN and NaN for standard deviation if data has less than two entries or if any entry is NaN.
(Defined by Statistics) |
| MeanVariance |
Estimates the sample mean and the unbiased population variance from the provided samples.
On a dataset of size N will use an N-1 normalizer (Bessel's correction).
Returns NaN for mean if data is empty or if any entry is NaN and NaN for variance if data has less than two entries or if any entry is NaN.
(Defined by Statistics) |
| Median |
Estimates the sample median from the provided samples (R8).
(Defined by Statistics) |
| Min |
Returns the minimum of the elements in vector.
(Defined by VectorMath) |
| Min |
Returns the minimum of the elements in vector.
(Defined by VectorMath) |
| Minimum |
Returns the minimum value in the sample data.
Returns NaN if data is empty or if any entry is NaN.
(Defined by Statistics) |
| MinimumAbsolute |
Returns the minimum absolute value in the sample data.
Returns NaN if data is empty or if any entry is NaN.
(Defined by Statistics) |
| MinMaxDouble |
Evaluates the minimum and maximum of a enumeration of elements.
(Defined by EnumerableExtensions) |
| MinOfValidElements |
Returns the minimum value of all the valid elements in x (nonvalid elements, i.e. NaN values are not considered).
(Defined by VectorMath) |
| MinOrDefaultDouble |
Evaluates the minimum of a enumeration of elements, or returns a default value if the series is empty.
(Defined by EnumerableExtensions) |
| MovingAverage |
Evaluates the sample mean over a moving window, for each samples.
Returns NaN if no data is empty or if any entry is NaN.
(Defined by Statistics) |
| Percentile |
Estimates the p-Percentile value from the provided samples.
If a non-integer Percentile is needed, use Quantile instead.
Approximately median-unbiased regardless of the sample distribution (R8).
(Defined by Statistics) |
| PercentileFunc |
Estimates the p-Percentile value from the provided samples.
If a non-integer Percentile is needed, use Quantile instead.
Approximately median-unbiased regardless of the sample distribution (R8).
(Defined by Statistics) |
| PopulationCovariance |
Evaluates the population covariance from the provided full populations.
On a dataset of size N will use an N normalizer and would thus be biased if applied to a subset.
Returns NaN if data is empty or if any entry is NaN.
(Defined by Statistics) |
| PopulationKurtosis |
Evaluates the kurtosis from the full population.
Does not use a normalizer and would thus be biased if applied to a subset (type 1).
Returns NaN if data has less than three entries or if any entry is NaN.
(Defined by Statistics) |
| PopulationSkewness |
Evaluates the skewness from the full population.
Does not use a normalizer and would thus be biased if applied to a subset (type 1).
Returns NaN if data has less than two entries or if any entry is NaN.
(Defined by Statistics) |
| PopulationSkewnessKurtosis |
Evaluates the skewness and kurtosis from the full population.
Does not use a normalizer and would thus be biased if applied to a subset (type 1).
(Defined by Statistics) |
| PopulationStandardDeviation |
Evaluates the standard deviation from the provided full population.
On a dataset of size N will use an N normalizer and would thus be biased if applied to a subset.
Returns NaN if data is empty or if any entry is NaN.
(Defined by Statistics) |
| PopulationVariance |
Evaluates the variance from the provided full population.
On a dataset of size N will use an N normalizer and would thus be biased if applied to a subset.
Returns NaN if data is empty or if any entry is NaN.
(Defined by Statistics) |
| ProbabilityDensity |
Estimates a probability density function using kernel density estimation.
(Defined by Statistics) |
| Quantile |
Calculates the quantile value of x.
(Defined by Statistics) |
| Quantile |
Estimates the tau-th quantile from the provided samples.
The tau-th quantile is the data value where the cumulative distribution
function crosses tau.
Approximately median-unbiased regardless of the sample distribution (R8).
(Defined by Statistics) |
| Quantile |
Calculates the quantile value of x.
(Defined by Statistics) |
| QuantileCustom |
Estimates the tau-th quantile from the provided samples.
The tau-th quantile is the data value where the cumulative distribution
function crosses tau. The quantile definition can be specified to be compatible
with an existing system.
(Defined by Statistics) |
| QuantileCustomFunc |
Estimates the tau-th quantile from the provided samples.
The tau-th quantile is the data value where the cumulative distribution
function crosses tau. The quantile definition can be specified to be compatible
with an existing system.
(Defined by Statistics) |
| QuantileFunc |
Estimates the tau-th quantile from the provided samples.
The tau-th quantile is the data value where the cumulative distribution
function crosses tau.
Approximately median-unbiased regardless of the sample distribution (R8).
(Defined by Statistics) |
| QuantileRank |
Estimates the quantile tau from the provided samples.
The tau-th quantile is the data value where the cumulative distribution
function crosses tau. The quantile definition can be specified to be compatible
with an existing system.
(Defined by Statistics) |
| QuantileRankFunc |
Estimates the quantile tau from the provided samples.
The tau-th quantile is the data value where the cumulative distribution
function crosses tau. The quantile definition can be specified to be compatible
with an existing system.
(Defined by Statistics) |
| Ranks |
Evaluates the rank of each entry of the provided samples.
The rank definition can be specified to be compatible
with an existing system.
(Defined by Statistics) |
| RootMeanSquare |
Evaluates the root mean square (RMS) also known as quadratic mean.
Returns NaN if data is empty or if any entry is NaN.
(Defined by Statistics) |
| SelectCombinationDouble |
Select a random combination, without repetition, from a data sequence by selecting k elements in original order.
(Defined by Combinatorics) |
| SelectCombinationWithRepetitionDouble |
Select a random combination, with repetition, from a data sequence by selecting k elements in original order.
(Defined by Combinatorics) |
| SelectPermutationDouble |
Select a random permutation from a data sequence by returning the provided data in random order.
Implemented using Fisher-Yates Shuffling.
(Defined by Combinatorics) |
| SelectVariationDouble |
Select a random variation, without repetition, from a data sequence by randomly selecting k elements in random order.
Implemented using partial Fisher-Yates Shuffling.
(Defined by Combinatorics) |
| SelectVariationWithRepetitionDouble |
Select a random variation, with repetition, from a data sequence by randomly selecting k elements in random order.
(Defined by Combinatorics) |
| SemiDeviation |
A measure of volatility in returns below the mean. It's similar to standard deviation, but it only
looks at periods where the investment return was less than average return.
(Defined by AbsoluteRiskMeasures) |
| SetColumnFromFractionalIndex |
Fills destination column with values from an original column by help of a fractional index.
(Defined by MergeTables) |
| ShowRenameColumnDialog |
Asks for a new name and then renames the selected data column or property column.
(Defined by ColumnCommands) |
| Skewness |
Estimates the unbiased population skewness from the provided samples.
Uses a normalizer (Bessel's correction; type 2).
Returns NaN if data has less than three entries or if any entry is NaN.
(Defined by Statistics) |
| SkewnessKurtosis |
Estimates the unbiased population skewness and kurtosis from the provided samples in a single pass.
Uses a normalizer (Bessel's correction; type 2).
(Defined by Statistics) |
| StandardDeviation |
Calculates the (sample) standard deviation of the sequence.
(Defined by Statistics) |
| StandardDeviation |
Estimates the unbiased population standard deviation from the provided samples.
On a dataset of size N will use an N-1 normalizer (Bessel's correction).
Returns NaN if data has less than two entries or if any entry is NaN.
(Defined by Statistics) |
| TakeAllButLastDouble |
Takes all elements of the enumeration except the last element.
(Defined by EnumerableExtensions) |
| ThisOrEmptyDouble |
Returns either the provided enumeration, or if it is null, an empty enumeration.
(Defined by EnumerableExtensions) |
| ToComplexDoubleVector |
This returns a read and writeable complex vector that wraps two DoubleColumns.
(Defined by DataColumnWrapper) |
| ToComplexDoubleVector |
This returns a read and writeable complex vector that wraps two DoubleColumns.
(Defined by DataColumnWrapper) |
| ToComplexDoubleVector |
This returns a read and writeable complex vector that wraps two DoubleColumns.
(Defined by DataColumnWrapper) |
| ToHorzMatrix |
This returns a read and writeable, horizontal oriented matrix of a DoubleColumn (Defined by DataColumnWrapper) |
| ToHorzROMatrix |
This returns a horizontal oriented, readonly matrix of a DoubleColumn (Defined by DataColumnWrapper) |
| ToInverseROVector |
Wraps a Double[] array to get an IReadOnlyListT with elements = 1 / elements of the original vector.
(Defined by VectorMath) |
| ToInverseROVector |
Wraps a Double[] array till a given length to get an IReadOnlyListT with elements = 1 / elements of the original vector.
(Defined by VectorMath) |
| ToROSubVectorDouble |
Creates a subvector of the read-only vector.
(Defined by VectorMath) |
| ToROVector |
This returns a read-only vector of a INumericColumn (Defined by DataColumnWrapper) |
| ToROVector |
This returns a read-only vector of a INumericColumn for selected rows.
(Defined by DataColumnWrapper) |
| ToROVector |
This returns a read-only vector of a INumericColumn (Defined by DataColumnWrapper) |
| ToROVector |
This returns a read-only vector of a INumericColumn (Defined by DataColumnWrapper) |
| ToROVector |
This returns a read-only vector of a INumericColumn (Defined by DataColumnWrapper) |
| ToROVector |
Wraps a section of an original vector into a new vector.
(Defined by VectorMath) |
| ToROVector |
This returns a read-only vector of a INumericColumn (Defined by DataColumnWrapper) |
| ToROVectorCopy |
This returns a read-only vector of a INumericColumn, but the data are copyied before. Thus, if you change the data
into the numeric column, the data of the returned vector is not influenced.
(Defined by DataColumnWrapper) |
| ToVector |
This returns a read and writeable vector of a DoubleColumn (Defined by DataColumnWrapper) |
| ToVector |
This returns a read and writeable vector of a DoubleColumn (Defined by DataColumnWrapper) |
| ToVector |
This returns a read and writeable vector of a DoubleColumn (Defined by DataColumnWrapper) |
| ToVector |
This returns a read and writeable vector of a DoubleColumn (Defined by DataColumnWrapper) |
| ToVector |
This returns a read and writeable vector of a DoubleColumn (Defined by DataColumnWrapper) |
| ToVector |
This returns a read and writeable vector of a DoubleColumn (Defined by DataColumnWrapper) |
| ToVector |
This returns a read and writeable vector of a DoubleColumn (Defined by DataColumnWrapper) |
| ToVertMatrix |
This returns a read and writeable, vertical oriented matrix of a DoubleColumn (Defined by DataColumnWrapper) |
| ToVertROMatrix |
This returns a vertical oriented, readonly matrix of a DoubleColumn (Defined by DataColumnWrapper) |
| TryGetFirstAndLastDouble |
Returns true and the first and last value of the enumeration, or, if the enumeration is empty, returns false.
(Defined by EnumerableExtensions) |
| TryGetSingleElementDouble |
Try to get the one and only element of the collection.
(Defined by EnumerableExtensions) |
| UpperQuartile |
Estimates the third quartile value from the provided samples.
Approximately median-unbiased regardless of the sample distribution (R8).
(Defined by Statistics) |
| Variance |
Estimates the unbiased population variance from the provided samples.
On a dataset of size N will use an N-1 normalizer (Bessel's correction).
Returns NaN if data has less than two entries or if any entry is NaN.
(Defined by Statistics) |
See Also