Package | Description |
---|---|
tech.tablesaw.aggregate | |
tech.tablesaw.api | |
tech.tablesaw.columns.numbers | |
tech.tablesaw.table | |
tech.tablesaw.util |
Modifier and Type | Method and Description |
---|---|
static Double |
AggregateFunctions.meanDifference(NumericColumn<?> column1,
NumericColumn<?> column2) |
static Double |
AggregateFunctions.meanDifference(NumericColumn<?> column1,
NumericColumn<?> column2) |
static Double |
AggregateFunctions.percentile(NumericColumn<?> data,
Double percentile) |
static Double |
AggregateFunctions.sumDifference(NumericColumn<?> column1,
NumericColumn<?> column2) |
static Double |
AggregateFunctions.sumDifference(NumericColumn<?> column1,
NumericColumn<?> column2) |
Modifier and Type | Class and Description |
---|---|
class |
DoubleColumn |
class |
FloatColumn |
class |
IntColumn |
class |
LongColumn |
class |
NumberColumn<T extends Number> |
class |
ShortColumn |
Modifier and Type | Method and Description |
---|---|
abstract NumericColumn<T> |
NumberColumn.bottom(int n)
Returns the smallest ("bottom") n values in the column
TODO(lwhite): Consider whether this should exclude missing
|
NumericColumn<T> |
NumericColumn.lag(int n) |
default NumericColumn<T> |
NumericColumn.lead(int n) |
abstract NumericColumn<T> |
NumberColumn.top(int n)
Returns the largest ("top") n values in the column
TODO(lwhite): Consider whether this should exclude missing
|
default NumericColumn<T> |
NumericColumn.where(Selection selection) |
Modifier and Type | Method and Description |
---|---|
default double |
NumericColumn.kendalls(NumericColumn<?> otherColumn)
Returns the Kendall's Tau Rank correlation between the receiver and the otherColumn
|
default double |
NumericColumn.pearsons(NumericColumn<?> otherColumn)
Returns the pearson's correlation between the receiver and the otherColumn
|
default double |
NumericColumn.spearmans(NumericColumn<?> otherColumn)
Returns the Spearman's Rank correlation between the receiver and the otherColumn
|
Modifier and Type | Method and Description |
---|---|
default DoubleColumn |
NumberMapFunctions.add(NumericColumn<?> column2) |
static Stats |
Stats.create(NumericColumn<?> values) |
default DoubleColumn |
NumberMapFunctions.divide(NumericColumn<?> column2) |
default Selection |
NumberFilters.isEqualTo(NumericColumn<?> d) |
default Selection |
NumberFilters.isGreaterThan(NumericColumn<?> d) |
default Selection |
NumberFilters.isGreaterThanOrEqualTo(NumericColumn<?> d) |
default Selection |
NumberFilters.isLessThan(NumericColumn<?> d) |
default Selection |
NumberFilters.isLessThanOrEqualTo(NumericColumn<?> d) |
default Selection |
NumberFilters.isNotEqualTo(NumericColumn<?> d) |
default DoubleColumn |
NumberMapFunctions.multiply(NumericColumn<?> column2) |
default DoubleColumn |
NumberMapFunctions.subtract(NumericColumn<?> column2) |
Constructor and Description |
---|
NumberRollingColumn(NumericColumn<?> column,
int window) |
Modifier and Type | Method and Description |
---|---|
NumericColumn<?>[] |
Relation.numberColumns() |
Modifier and Type | Method and Description |
---|---|
List<NumericColumn<?>> |
Relation.numericColumns()
Returns all the NumericColumns in the relation
|
List<NumericColumn<?>> |
Relation.numericColumns(int... columnIndices)
Returns all the NumericColumns in the relation
|
List<NumericColumn<?>> |
Relation.numericColumns(String... columnNames)
Returns all the NumericColumns in the relation
|
Modifier and Type | Method and Description |
---|---|
static double[][] |
DoubleArrays.to2dArray(NumericColumn<?>... columns) |
static double[][] |
DoubleArrays.to2dArray(NumericColumn<?> x,
NumericColumn<?> y) |
static double[][] |
DoubleArrays.to2dArray(NumericColumn<?> x,
NumericColumn<?> y) |
Modifier and Type | Method and Description |
---|---|
static double[][] |
DoubleArrays.to2dArray(List<NumericColumn<?>> columnList) |
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