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indexview.go
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indexview.go
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// Copyright (c) 2024, Cogent Core. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
package stats
import (
"math"
"cogentcore.org/core/tensor/table"
)
// Every IndexView Stats method in this file follows one of these signatures:
// IndexViewFuncIndex is a stats function operating on IndexView, taking a column index arg
type IndexViewFuncIndex func(ix *table.IndexView, colIndex int) []float64
// IndexViewFuncColumn is a stats function operating on IndexView, taking a column name arg
type IndexViewFuncColumn func(ix *table.IndexView, column string) []float64
// StatIndex returns IndexView statistic according to given Stats type applied
// to all non-NaN elements in given IndexView indexed view of
// an table.Table, for given column index.
// Return value(s) is size of column cell: 1 for scalar 1D columns
// and N for higher-dimensional columns.
func StatIndex(ix *table.IndexView, colIndex int, stat Stats) []float64 {
switch stat {
case Count:
return CountIndex(ix, colIndex)
case Sum:
return SumIndex(ix, colIndex)
case Prod:
return ProdIndex(ix, colIndex)
case Min:
return MinIndex(ix, colIndex)
case Max:
return MaxIndex(ix, colIndex)
case MinAbs:
return MinAbsIndex(ix, colIndex)
case MaxAbs:
return MaxAbsIndex(ix, colIndex)
case Mean:
return MeanIndex(ix, colIndex)
case Var:
return VarIndex(ix, colIndex)
case Std:
return StdIndex(ix, colIndex)
case Sem:
return SemIndex(ix, colIndex)
case L1Norm:
return L1NormIndex(ix, colIndex)
case SumSq:
return SumSqIndex(ix, colIndex)
case L2Norm:
return L2NormIndex(ix, colIndex)
case VarPop:
return VarPopIndex(ix, colIndex)
case StdPop:
return StdPopIndex(ix, colIndex)
case SemPop:
return SemPopIndex(ix, colIndex)
case Median:
return MedianIndex(ix, colIndex)
case Q1:
return Q1Index(ix, colIndex)
case Q3:
return Q3Index(ix, colIndex)
}
return nil
}
// StatColumn returns IndexView statistic according to given Stats type applied
// to all non-NaN elements in given IndexView indexed view of
// an table.Table, for given column name.
// If name not found, nil is returned -- use Try version for error message.
// Return value(s) is size of column cell: 1 for scalar 1D columns
// and N for higher-dimensional columns.
func StatColumn(ix *table.IndexView, column string, stat Stats) []float64 {
colIndex := ix.Table.ColumnIndex(column)
if colIndex == -1 {
return nil
}
return StatIndex(ix, colIndex, stat)
}
// StatColumnTry returns IndexView statistic according to given Stats type applied
// to all non-NaN elements in given IndexView indexed view of
// an table.Table, for given column name.
// If name not found, returns error message.
// Return value(s) is size of column cell: 1 for scalar 1D columns
// and N for higher-dimensional columns.
func StatColumnTry(ix *table.IndexView, column string, stat Stats) ([]float64, error) {
colIndex, err := ix.Table.ColumnIndexTry(column)
if err != nil {
return nil, err
}
rv := StatIndex(ix, colIndex, stat)
return rv, nil
}
// StatIndexFunc applies given StatFunc function to each element in the given column,
// using float64 conversions of the values. ini is the initial value for the agg variable.
// Operates independently over each cell on n-dimensional columns and returns the result as a slice
// of values per cell.
func StatIndexFunc(ix *table.IndexView, colIndex int, ini float64, fun StatFunc) []float64 {
cl := ix.Table.Columns[colIndex]
_, csz := cl.RowCellSize()
ag := make([]float64, csz)
for i := range ag {
ag[i] = ini
}
if csz == 1 {
for _, srw := range ix.Indexes {
val := cl.Float1D(srw)
if !math.IsNaN(val) {
ag[0] = fun(srw, val, ag[0])
}
}
} else {
for _, srw := range ix.Indexes {
si := srw * csz
for j := range ag {
val := cl.Float1D(si + j)
if !math.IsNaN(val) {
ag[j] = fun(si+j, val, ag[j])
}
}
}
}
return ag
}
///////////////////////////////////////////////////
// Count
// CountIndex returns the count of non-NaN elements in given
// IndexView indexed view of an table.Table, for given column index.
// Return value is size of each column cell -- 1 for scalar 1D columns
// and N for higher-dimensional columns.
func CountIndex(ix *table.IndexView, colIndex int) []float64 {
return StatIndexFunc(ix, colIndex, 0, CountFunc)
}
// CountColumn returns the count of non-NaN elements in given
// IndexView indexed view of an table.Table, for given column name.
// If name not found, nil is returned.
// Return value is size of each column cell -- 1 for scalar 1D columns
// and N for higher-dimensional columns.
func CountColumn(ix *table.IndexView, column string) []float64 {
colIndex := ix.Table.ColumnIndex(column)
if colIndex == -1 {
return nil
}
return CountIndex(ix, colIndex)
}
///////////////////////////////////////////////////
// Sum
// SumIndex returns the sum of non-NaN elements in given
// IndexView indexed view of an table.Table, for given column index.
// Return value is size of each column cell -- 1 for scalar 1D columns
// and N for higher-dimensional columns.
func SumIndex(ix *table.IndexView, colIndex int) []float64 {
return StatIndexFunc(ix, colIndex, 0, SumFunc)
}
// SumColumn returns the sum of non-NaN elements in given
// IndexView indexed view of an table.Table, for given column name.
// If name not found, nil is returned.
// Return value is size of each column cell -- 1 for scalar 1D columns
// and N for higher-dimensional columns.
func SumColumn(ix *table.IndexView, column string) []float64 {
colIndex := ix.Table.ColumnIndex(column)
if colIndex == -1 {
return nil
}
return SumIndex(ix, colIndex)
}
///////////////////////////////////////////////////
// Prod
// ProdIndex returns the product of non-NaN elements in given
// IndexView indexed view of an table.Table, for given column index.
// Return value is size of each column cell -- 1 for scalar 1D columns
// and N for higher-dimensional columns.
func ProdIndex(ix *table.IndexView, colIndex int) []float64 {
return StatIndexFunc(ix, colIndex, 1, ProdFunc)
}
// ProdColumn returns the product of non-NaN elements in given
// IndexView indexed view of an table.Table, for given column name.
// If name not found, nil is returned.
// Return value is size of each column cell -- 1 for scalar 1D columns
// and N for higher-dimensional columns.
func ProdColumn(ix *table.IndexView, column string) []float64 {
colIndex := ix.Table.ColumnIndex(column)
if colIndex == -1 {
return nil
}
return ProdIndex(ix, colIndex)
}
///////////////////////////////////////////////////
// Min
// MinIndex returns the minimum of non-NaN elements in given
// IndexView indexed view of an table.Table, for given column index.
// Return value is size of each column cell -- 1 for scalar 1D columns
// and N for higher-dimensional columns.
func MinIndex(ix *table.IndexView, colIndex int) []float64 {
return StatIndexFunc(ix, colIndex, math.MaxFloat64, MinFunc)
}
// MinColumn returns the minimum of non-NaN elements in given
// IndexView indexed view of an table.Table, for given column name.
// If name not found, nil is returned.
// Return value is size of each column cell -- 1 for scalar 1D columns
// and N for higher-dimensional columns.
func MinColumn(ix *table.IndexView, column string) []float64 {
colIndex := ix.Table.ColumnIndex(column)
if colIndex == -1 {
return nil
}
return MinIndex(ix, colIndex)
}
///////////////////////////////////////////////////
// Max
// MaxIndex returns the maximum of non-NaN elements in given
// IndexView indexed view of an table.Table, for given column index.
// Return value is size of each column cell -- 1 for scalar 1D columns
// and N for higher-dimensional columns.
func MaxIndex(ix *table.IndexView, colIndex int) []float64 {
return StatIndexFunc(ix, colIndex, -math.MaxFloat64, MaxFunc)
}
// MaxColumn returns the maximum of non-NaN elements in given
// IndexView indexed view of an table.Table, for given column name.
// If name not found, nil is returned.
// Return value is size of each column cell -- 1 for scalar 1D columns
// and N for higher-dimensional columns.
func MaxColumn(ix *table.IndexView, column string) []float64 {
colIndex := ix.Table.ColumnIndex(column)
if colIndex == -1 {
return nil
}
return MaxIndex(ix, colIndex)
}
///////////////////////////////////////////////////
// MinAbs
// MinAbsIndex returns the minimum of abs of non-NaN elements in given
// IndexView indexed view of an table.Table, for given column index.
// Return value is size of each column cell -- 1 for scalar 1D columns
// and N for higher-dimensional columns.
func MinAbsIndex(ix *table.IndexView, colIndex int) []float64 {
return StatIndexFunc(ix, colIndex, math.MaxFloat64, MinAbsFunc)
}
// MinAbsColumn returns the minimum of abs of non-NaN elements in given
// IndexView indexed view of an table.Table, for given column name.
// If name not found, nil is returned.
// Return value is size of each column cell -- 1 for scalar 1D columns
// and N for higher-dimensional columns.
func MinAbsColumn(ix *table.IndexView, column string) []float64 {
colIndex := ix.Table.ColumnIndex(column)
if colIndex == -1 {
return nil
}
return MinAbsIndex(ix, colIndex)
}
///////////////////////////////////////////////////
// MaxAbs
// MaxAbsIndex returns the maximum of abs of non-NaN elements in given
// IndexView indexed view of an table.Table, for given column index.
// Return value is size of each column cell -- 1 for scalar 1D columns
// and N for higher-dimensional columns.
func MaxAbsIndex(ix *table.IndexView, colIndex int) []float64 {
return StatIndexFunc(ix, colIndex, -math.MaxFloat64, MaxAbsFunc)
}
// MaxAbsColumn returns the maximum of abs of non-NaN elements in given
// IndexView indexed view of an table.Table, for given column name.
// If name not found, nil is returned.
// Return value is size of each column cell -- 1 for scalar 1D columns
// and N for higher-dimensional columns.
func MaxAbsColumn(ix *table.IndexView, column string) []float64 {
colIndex := ix.Table.ColumnIndex(column)
if colIndex == -1 {
return nil
}
return MaxAbsIndex(ix, colIndex)
}
///////////////////////////////////////////////////
// Mean
// MeanIndex returns the mean of non-NaN elements in given
// IndexView indexed view of an table.Table, for given column index.
// Return value is size of each column cell -- 1 for scalar 1D columns
// and N for higher-dimensional columns.
func MeanIndex(ix *table.IndexView, colIndex int) []float64 {
cnt := CountIndex(ix, colIndex)
if cnt == nil {
return nil
}
mean := SumIndex(ix, colIndex)
for i := range mean {
if cnt[i] > 0 {
mean[i] /= cnt[i]
}
}
return mean
}
// MeanColumn returns the mean of non-NaN elements in given
// IndexView indexed view of an table.Table, for given column name.
// If name not found, nil is returned.
// Return value is size of each column cell -- 1 for scalar 1D columns
// and N for higher-dimensional columns.
func MeanColumn(ix *table.IndexView, column string) []float64 {
colIndex := ix.Table.ColumnIndex(column)
if colIndex == -1 {
return nil
}
return MeanIndex(ix, colIndex)
}
///////////////////////////////////////////////////
// Var
// VarIndex returns the sample variance of non-NaN elements in given
// IndexView indexed view of an table.Table, for given column index.
// Sample variance is normalized by 1/(n-1) -- see VarPop version for 1/n normalization.
// Return value is size of each column cell -- 1 for scalar 1D columns
// and N for higher-dimensional columns.
func VarIndex(ix *table.IndexView, colIndex int) []float64 {
cnt := CountIndex(ix, colIndex)
if cnt == nil {
return nil
}
mean := SumIndex(ix, colIndex)
for i := range mean {
if cnt[i] > 0 {
mean[i] /= cnt[i]
}
}
col := ix.Table.Columns[colIndex]
_, csz := col.RowCellSize()
vr := StatIndexFunc(ix, colIndex, 0, func(idx int, val float64, agg float64) float64 {
cidx := idx % csz
dv := val - mean[cidx]
return agg + dv*dv
})
for i := range vr {
if cnt[i] > 1 {
vr[i] /= (cnt[i] - 1)
}
}
return vr
}
// VarColumn returns the sample variance of non-NaN elements in given
// IndexView indexed view of an table.Table, for given column name.
// Sample variance is normalized by 1/(n-1) -- see VarPop version for 1/n normalization.
// If name not found, nil is returned.
// Return value is size of each column cell -- 1 for scalar 1D columns
// and N for higher-dimensional columns.
func VarColumn(ix *table.IndexView, column string) []float64 {
colIndex := ix.Table.ColumnIndex(column)
if colIndex == -1 {
return nil
}
return VarIndex(ix, colIndex)
}
///////////////////////////////////////////////////
// Std
// StdIndex returns the sample std deviation of non-NaN elements in given
// IndexView indexed view of an table.Table, for given column index.
// Sample std deviation is normalized by 1/(n-1) -- see StdPop version for 1/n normalization.
// Return value is size of each column cell -- 1 for scalar 1D columns
// and N for higher-dimensional columns.
func StdIndex(ix *table.IndexView, colIndex int) []float64 {
std := VarIndex(ix, colIndex)
for i := range std {
std[i] = math.Sqrt(std[i])
}
return std
}
// StdColumn returns the sample std deviation of non-NaN elements in given
// IndexView indexed view of an table.Table, for given column name.
// Sample std deviation is normalized by 1/(n-1) -- see StdPop version for 1/n normalization.
// If name not found, nil is returned.
// Return value is size of each column cell -- 1 for scalar 1D columns
// and N for higher-dimensional columns.
func StdColumn(ix *table.IndexView, column string) []float64 {
colIndex := ix.Table.ColumnIndex(column)
if colIndex == -1 {
return nil
}
return StdIndex(ix, colIndex)
}
///////////////////////////////////////////////////
// Sem
// SemIndex returns the sample standard error of the mean of non-NaN elements in given
// IndexView indexed view of an table.Table, for given column index.
// Sample sem is normalized by 1/(n-1) -- see SemPop version for 1/n normalization.
// Return value is size of each column cell -- 1 for scalar 1D columns
// and N for higher-dimensional columns.
func SemIndex(ix *table.IndexView, colIndex int) []float64 {
cnt := CountIndex(ix, colIndex)
if cnt == nil {
return nil
}
sem := StdIndex(ix, colIndex)
for i := range sem {
if cnt[i] > 0 {
sem[i] /= math.Sqrt(cnt[i])
}
}
return sem
}
// SemColumn returns the sample standard error of the mean of non-NaN elements in given
// IndexView indexed view of an table.Table, for given column name.
// Sample sem is normalized by 1/(n-1) -- see SemPop version for 1/n normalization.
// If name not found, nil is returned.
// Return value is size of each column cell -- 1 for scalar 1D columns
// and N for higher-dimensional columns.
func SemColumn(ix *table.IndexView, column string) []float64 {
colIndex := ix.Table.ColumnIndex(column)
if colIndex == -1 {
return nil
}
return SemIndex(ix, colIndex)
}
///////////////////////////////////////////////////
// L1Norm
// L1NormIndex returns the L1 norm (sum abs values) of non-NaN elements in given
// IndexView indexed view of an table.Table, for given column index.
// Return value is size of each column cell -- 1 for scalar 1D columns
// and N for higher-dimensional columns.
func L1NormIndex(ix *table.IndexView, colIndex int) []float64 {
return StatIndexFunc(ix, colIndex, 0, L1NormFunc)
}
// L1NormColumn returns the L1 norm (sum abs values) of non-NaN elements in given
// IndexView indexed view of an table.Table, for given column name.
// If name not found, nil is returned.
// Return value is size of each column cell -- 1 for scalar 1D columns
// and N for higher-dimensional columns.
func L1NormColumn(ix *table.IndexView, column string) []float64 {
colIndex := ix.Table.ColumnIndex(column)
if colIndex == -1 {
return nil
}
return L1NormIndex(ix, colIndex)
}
///////////////////////////////////////////////////
// SumSq
// SumSqIndex returns the sum-of-squares of non-NaN elements in given
// IndexView indexed view of an table.Table, for given column index.
// Return value is size of each column cell -- 1 for scalar 1D columns
// and N for higher-dimensional columns.
func SumSqIndex(ix *table.IndexView, colIndex int) []float64 {
cl := ix.Table.Columns[colIndex]
_, csz := cl.RowCellSize()
scale := make([]float64, csz)
ss := make([]float64, csz)
for i := range ss {
ss[i] = 1
}
n := len(ix.Indexes)
if csz == 1 {
if n < 2 {
if n == 1 {
ss[0] = math.Abs(cl.Float1D(ix.Indexes[0]))
return ss
}
return scale // all 0s
}
for _, srw := range ix.Indexes {
v := cl.Float1D(srw)
absxi := math.Abs(v)
if scale[0] < absxi {
ss[0] = 1 + ss[0]*(scale[0]/absxi)*(scale[0]/absxi)
scale[0] = absxi
} else {
ss[0] = ss[0] + (absxi/scale[0])*(absxi/scale[0])
}
}
if math.IsInf(scale[0], 1) {
ss[0] = math.Inf(1)
} else {
ss[0] = scale[0] * scale[0] * ss[0]
}
} else {
if n < 2 {
if n == 1 {
si := csz * ix.Indexes[0]
for j := range csz {
ss[j] = math.Abs(cl.Float1D(si + j))
}
return ss
}
return scale // all 0s
}
for _, srw := range ix.Indexes {
si := srw * csz
for j := range ss {
v := cl.Float1D(si + j)
absxi := math.Abs(v)
if scale[j] < absxi {
ss[j] = 1 + ss[j]*(scale[j]/absxi)*(scale[j]/absxi)
scale[j] = absxi
} else {
ss[j] = ss[j] + (absxi/scale[j])*(absxi/scale[j])
}
}
}
for j := range ss {
if math.IsInf(scale[j], 1) {
ss[j] = math.Inf(1)
} else {
ss[j] = scale[j] * scale[j] * ss[j]
}
}
}
return ss
}
// SumSqColumn returns the sum-of-squares of non-NaN elements in given
// IndexView indexed view of an table.Table, for given column name.
// If name not found, nil is returned.
// Return value is size of each column cell -- 1 for scalar 1D columns
// and N for higher-dimensional columns.
func SumSqColumn(ix *table.IndexView, column string) []float64 {
colIndex := ix.Table.ColumnIndex(column)
if colIndex == -1 {
return nil
}
return SumSqIndex(ix, colIndex)
}
///////////////////////////////////////////////////
// L2Norm
// L2NormIndex returns the L2 norm (square root of sum-of-squares) of non-NaN elements in given
// IndexView indexed view of an table.Table, for given column index.
// Return value is size of each column cell -- 1 for scalar 1D columns
// and N for higher-dimensional columns.
func L2NormIndex(ix *table.IndexView, colIndex int) []float64 {
ss := SumSqIndex(ix, colIndex)
for i := range ss {
ss[i] = math.Sqrt(ss[i])
}
return ss
}
// L2NormColumn returns the L2 norm (square root of sum-of-squares) of non-NaN elements in given
// IndexView indexed view of an table.Table, for given column name.
// If name not found, nil is returned.
// Return value is size of each column cell -- 1 for scalar 1D columns
// and N for higher-dimensional columns.
func L2NormColumn(ix *table.IndexView, column string) []float64 {
colIndex := ix.Table.ColumnIndex(column)
if colIndex == -1 {
return nil
}
return L2NormIndex(ix, colIndex)
}
///////////////////////////////////////////////////
// VarPop
// VarPopIndex returns the population variance of non-NaN elements in given
// IndexView indexed view of an table.Table, for given column index.
// population variance is normalized by 1/n -- see Var version for 1/(n-1) sample normalization.
// Return value is size of each column cell -- 1 for scalar 1D columns
// and N for higher-dimensional columns.
func VarPopIndex(ix *table.IndexView, colIndex int) []float64 {
cnt := CountIndex(ix, colIndex)
if cnt == nil {
return nil
}
mean := SumIndex(ix, colIndex)
for i := range mean {
if cnt[i] > 0 {
mean[i] /= cnt[i]
}
}
col := ix.Table.Columns[colIndex]
_, csz := col.RowCellSize()
vr := StatIndexFunc(ix, colIndex, 0, func(idx int, val float64, agg float64) float64 {
cidx := idx % csz
dv := val - mean[cidx]
return agg + dv*dv
})
for i := range vr {
if cnt[i] > 0 {
vr[i] /= cnt[i]
}
}
return vr
}
// VarPopColumn returns the population variance of non-NaN elements in given
// IndexView indexed view of an table.Table, for given column name.
// population variance is normalized by 1/n -- see Var version for 1/(n-1) sample normalization.
// If name not found, nil is returned.
// Return value is size of each column cell -- 1 for scalar 1D columns
// and N for higher-dimensional columns.
func VarPopColumn(ix *table.IndexView, column string) []float64 {
colIndex := ix.Table.ColumnIndex(column)
if colIndex == -1 {
return nil
}
return VarPopIndex(ix, colIndex)
}
///////////////////////////////////////////////////
// StdPop
// StdPopIndex returns the population std deviation of non-NaN elements in given
// IndexView indexed view of an table.Table, for given column index.
// population std dev is normalized by 1/n -- see Var version for 1/(n-1) sample normalization.
// Return value is size of each column cell -- 1 for scalar 1D columns
// and N for higher-dimensional columns.
func StdPopIndex(ix *table.IndexView, colIndex int) []float64 {
std := VarPopIndex(ix, colIndex)
for i := range std {
std[i] = math.Sqrt(std[i])
}
return std
}
// StdPopColumn returns the population std deviation of non-NaN elements in given
// IndexView indexed view of an table.Table, for given column name.
// population std dev is normalized by 1/n -- see Var version for 1/(n-1) sample normalization.
// If name not found, nil is returned.
// Return value is size of each column cell -- 1 for scalar 1D columns
// and N for higher-dimensional columns.
func StdPopColumn(ix *table.IndexView, column string) []float64 {
colIndex := ix.Table.ColumnIndex(column)
if colIndex == -1 {
return nil
}
return StdPopIndex(ix, colIndex)
}
///////////////////////////////////////////////////
// SemPop
// SemPopIndex returns the population standard error of the mean of non-NaN elements in given
// IndexView indexed view of an table.Table, for given column index.
// population sem is normalized by 1/n -- see Var version for 1/(n-1) sample normalization.
// Return value is size of each column cell -- 1 for scalar 1D columns
// and N for higher-dimensional columns.
func SemPopIndex(ix *table.IndexView, colIndex int) []float64 {
cnt := CountIndex(ix, colIndex)
if cnt == nil {
return nil
}
sem := StdPopIndex(ix, colIndex)
for i := range sem {
if cnt[i] > 0 {
sem[i] /= math.Sqrt(cnt[i])
}
}
return sem
}
// SemPopColumn returns the standard error of the mean of non-NaN elements in given
// IndexView indexed view of an table.Table, for given column name.
// population sem is normalized by 1/n -- see Var version for 1/(n-1) sample normalization.
// If name not found, nil is returned.
// Return value is size of each column cell -- 1 for scalar 1D columns
// and N for higher-dimensional columns.
func SemPopColumn(ix *table.IndexView, column string) []float64 {
colIndex := ix.Table.ColumnIndex(column)
if colIndex == -1 {
return nil
}
return SemPopIndex(ix, colIndex)
}
///////////////////////////////////////////////////
// Median
// MedianIndex returns the median of non-NaN elements in given
// IndexView indexed view of an table.Table, for given column index.
// Return value is size of each column cell -- 1 for scalar 1D columns
// and N for higher-dimensional columns.
func MedianIndex(ix *table.IndexView, colIndex int) []float64 {
return QuantilesIndex(ix, colIndex, []float64{.5})
}
// MedianColumn returns the median of non-NaN elements in given
// IndexView indexed view of an table.Table, for given column name.
// If name not found, nil is returned.
// Return value is size of each column cell -- 1 for scalar 1D columns
// and N for higher-dimensional columns.
func MedianColumn(ix *table.IndexView, column string) []float64 {
colIndex := ix.Table.ColumnIndex(column)
if colIndex == -1 {
return nil
}
return MedianIndex(ix, colIndex)
}
///////////////////////////////////////////////////
// Q1
// Q1Index returns the first quartile of non-NaN elements in given
// IndexView indexed view of an table.Table, for given column index.
// Return value is size of each column cell -- 1 for scalar 1D columns
// and N for higher-dimensional columns.
func Q1Index(ix *table.IndexView, colIndex int) []float64 {
return QuantilesIndex(ix, colIndex, []float64{.25})
}
// Q1Column returns the first quartile of non-NaN elements in given
// IndexView indexed view of an table.Table, for given column name.
// If name not found, nil is returned.
// Return value is size of each column cell -- 1 for scalar 1D columns
// and N for higher-dimensional columns.
func Q1Column(ix *table.IndexView, column string) []float64 {
colIndex := ix.Table.ColumnIndex(column)
if colIndex == -1 {
return nil
}
return Q1Index(ix, colIndex)
}
///////////////////////////////////////////////////
// Q3
// Q3Index returns the third quartile of non-NaN elements in given
// IndexView indexed view of an table.Table, for given column index.
// Return value is size of each column cell -- 1 for scalar 1D columns
// and N for higher-dimensional columns.
func Q3Index(ix *table.IndexView, colIndex int) []float64 {
return QuantilesIndex(ix, colIndex, []float64{.75})
}
// Q3Column returns the third quartile of non-NaN elements in given
// IndexView indexed view of an table.Table, for given column name.
// If name not found, nil is returned.
// Return value is size of each column cell -- 1 for scalar 1D columns
// and N for higher-dimensional columns.
func Q3Column(ix *table.IndexView, column string) []float64 {
colIndex := ix.Table.ColumnIndex(column)
if colIndex == -1 {
return nil
}
return Q3Index(ix, colIndex)
}