ICategorical
Methods
| Aggregate |
Aggregates the specified vector over each group and returns the result.
(Inherited from IGrouping) |
| Aggregate |
Aggregates the specified vector over each group and returns the result.
(Inherited from IGrouping) |
| Append |
Appends a vector at the end of this vector and returns the result.
(Inherited from IVector) |
| Append |
Appends the specified number of missing values to this vector
and returns the result.
(Inherited from IVector) |
| As<U> |
Returns the object as a strongly typed vector of the specified type.
(Inherited from IVector) |
| AsCategorical |
Converts the vector to a categorical vector.
(Inherited from IVector) |
| Get |
Returns a histogram of the number of observations in each group.
(Inherited from IGrouping) |
| Get |
Gets a sequence of indexes for the grouping.
(Inherited from IGrouping) |
| Get |
Returns a new object that contains the values at the specified positions.
(Inherited from IVector) |
| Get |
Gets the value at the specified index.
(Inherited from IVector) |
| Get |
Returns a new object that contains the values at the specified positions.
(Inherited from IVector) |
| Get |
Returns a new object that contains the values at the specified positions.
(Inherited from IVector) |
| IsMissing |
Indicates whether the value at the specified index is missing.
(Inherited from IVector) |
| Protect |
Returns a shallow read-only copy of the vector.
(Inherited from IVector) |
| Replace |
Replaces all missing values in a vector with the previous or next non-missing value.
(Inherited from IVector) |
| Sort |
Returns a permutation that can be used to sort the data in the vector in the specified order.
(Inherited from IVector) |
| With | Constructs a new categorical vector using the specified category index. |
Extension Methods
| Bin<T> |
Sorts values into bins and returns the result as a categorical vector.
(Defined by Vector) |
| Bin<T> |
Sorts values into bins and returns the result as a categorical vector.
(Defined by Vector) |
| Create |
Returns a histogram of the counts for each value in a vector.
(Defined by Histogram) |
| Unstack<R, C> |
Transforms a vector with a two-level index into a data frame whose columns
correspond to the second level in the index.
(Defined by DataFrame) |
| Use |
Specifies that backward difference encoding should be used when creating indicator variables.
(Defined by VectorExtensions) |
| Use |
Specifies that deviance encoding should be used when creating indicator variables.
(Defined by VectorExtensions) |
| Use |
Specifies that dummy encoding (also called treatment encoding) should be used when creating indicator variables.
(Defined by VectorExtensions) |
| Use |
Specifies that forward difference encoding should be used when creating indicator variables.
(Defined by VectorExtensions) |
| Use |
Specifies that Helmert encoding should be used when creating indicator variables.
(Defined by VectorExtensions) |
| Use |
Specifies that inverse Helmert encoding should be used when creating indicator variables.
(Defined by VectorExtensions) |
| Use |
Specifies that orthogonal polynomial encoding should be used when creating indicator variables.
(Defined by VectorExtensions) |
| Use |
Specifies that simple encoding should be used when creating indicator variables.
(Defined by VectorExtensions) |