/*
raw r[j]: eigenvec[i][j]
unstandardized u[j]: sqrt(N-g) * r[j]
standardized s[j]: u[j] sqrt (w[i][i] / (N-g))
*/
autoTableOfReal Discriminant_extractCoefficients (Discriminant me, int choice) {
try {
int raw = choice == 0, standardized = choice == 2;
long nx = my eigen -> dimension, ny = my eigen -> numberOfEigenvalues;
SSCP total = my total.get();
autoTableOfReal thee = TableOfReal_create (ny, nx + 1);
NUMstrings_copyElements (my total -> columnLabels, thy columnLabels, 1, nx);
autoSSCP within;
if (standardized) {
within = Discriminant_extractPooledWithinGroupsSSCP (me);
}
TableOfReal_setColumnLabel (thee.get(), nx + 1, U"constant");
TableOfReal_setSequentialRowLabels (thee.get(), 1, ny, U"function_", 1, 1);
double scale = sqrt (total -> numberOfObservations - my numberOfGroups);
double *centroid = my total -> centroid;
for (long i = 1; i <= ny; i++) {
double u0 = 0.0, ui;
for (long j = 1; j <= nx; j++) {
if (standardized) {
scale = sqrt (within -> data[j][j]);
}
thy data[i][j] = ui = scale * my eigen -> eigenvectors[i][j];;
u0 += ui * centroid[j];
}
thy data[i][nx + 1] = raw ? 0.0 : -u0;
}
return thee;
} catch (MelderError) {
Melder_throw (me, U": coefficients not extracted.");
}
}
autoTableOfReal PCA_and_Configuration_to_TableOfReal_reconstruct (PCA me, Configuration thee) {
try {
long npc = thy numberOfColumns;
if (thy numberOfColumns > my dimension) {
Melder_throw (U"The dimension of the Configuration must be less than or equal to the dimension of the PCA.");
}
if (npc > my numberOfEigenvalues) {
npc = my numberOfEigenvalues;
}
autoTableOfReal him = TableOfReal_create (thy numberOfRows, my dimension);
NUMstrings_copyElements (my labels, his columnLabels, 1, my dimension);
NUMstrings_copyElements (thy rowLabels, his rowLabels, 1, thy numberOfRows);
for (long i = 1; i <= thy numberOfRows; i++) {
double *hisdata = his data[i];
for (long k = 1; k <= npc; k++) {
double *evec = my eigenvectors[k], pc = thy data[i][k];
for (long j = 1; j <= my dimension; j++) {
hisdata[j] += pc * evec[j];
}
}
}
return him;
} catch (MelderError) {
Melder_throw (U"TableOfReal not reconstructed.");
}
}
TableOfReal CCA_and_TableOfReal_scores (CCA me, TableOfReal thee, long numberOfFactors)
{
TableOfReal him = NULL;
long n = thy numberOfRows;
long nx = my x -> dimension, ny = my y -> dimension;
if (ny + nx != thy numberOfColumns) return Melder_errorp7 (L"The number "
"of columns in the table (", Melder_integer (thy numberOfColumns), L") does not agree with "
"the dimensions of the CCA object (ny + nx = ", Melder_integer (ny), L" + ", Melder_integer (nx), L").");
if (numberOfFactors == 0) numberOfFactors = my numberOfCoefficients;
if (numberOfFactors < 1 || numberOfFactors > my numberOfCoefficients)
return Melder_errorp3 (L"The number of factors must be in interval "
"[1, ", Melder_integer (my numberOfCoefficients), L"].");
him = TableOfReal_create (n, 2 * numberOfFactors);
if (him == NULL) return NULL;
if (! NUMstrings_copyElements (thy rowLabels, his rowLabels, 1, thy numberOfRows) ||
! Eigen_and_TableOfReal_project_into (my y, thee, 1, ny, &him, 1, numberOfFactors) ||
! Eigen_and_TableOfReal_project_into (my x, thee, ny + 1,
thy numberOfColumns, &him, numberOfFactors + 1, his numberOfColumns) ||
! TableOfReal_setSequentialColumnLabels (him, 1, numberOfFactors, L"y_", 1, 1) ||
! TableOfReal_setSequentialColumnLabels (him, numberOfFactors + 1,
his numberOfColumns, L"x_", 1, 1)) forget (him);
return him;
}
autoTableOfReal Confusion_to_TableOfReal_marginals (Confusion me) {
try {
autoTableOfReal thee = TableOfReal_create (my numberOfRows + 1, my numberOfColumns + 1);
double total = 0.0;
for (long i = 1; i <= my numberOfRows; i++) {
double rowsum = 0.0;
for (long j = 1; j <= my numberOfColumns; j++) {
thy data[i][j] = my data[i][j];
rowsum += my data[i][j];
}
thy data[i][my numberOfColumns + 1] = rowsum;
total += rowsum;
}
thy data[my numberOfRows + 1][my numberOfColumns + 1] = total;
for (long j = 1; j <= my numberOfColumns; j++) {
double colsum = 0;
for (long i = 1; i <= my numberOfRows; i++) {
colsum += my data[i][j];
}
thy data[my numberOfRows + 1][j] = colsum;
}
NUMstrings_copyElements (my rowLabels, thy rowLabels, 1, my numberOfRows);
NUMstrings_copyElements (my columnLabels, thy columnLabels, 1, my numberOfColumns);
return thee;
} catch (MelderError) {
Melder_throw (me, U": table with marginals not created.");
}
}
TableOfReal CCA_and_TableOfReal_scores (CCA me, TableOfReal thee, long numberOfFactors) {
try {
long n = thy numberOfRows;
long nx = my x -> dimension, ny = my y -> dimension;
if (ny + nx != thy numberOfColumns) {
Melder_throw (U"The number of columns in the table (", thy numberOfColumns,
U") does not agree with the dimensions of the CCA object (ny + nx = ", ny, U" + ", nx, U").");
}
if (numberOfFactors == 0) {
numberOfFactors = my numberOfCoefficients;
}
if (numberOfFactors < 1 || numberOfFactors > my numberOfCoefficients) {
Melder_throw (U"The number of factors must be in interval [1, ", my numberOfCoefficients, U"].");
}
autoTableOfReal him = TableOfReal_create (n, 2 * numberOfFactors);
TableOfReal phim = him.peek();
NUMstrings_copyElements (thy rowLabels, his rowLabels, 1, thy numberOfRows);
Eigen_and_TableOfReal_project_into (my y, thee, 1, ny, &phim, 1, numberOfFactors);
Eigen_and_TableOfReal_project_into (my x, thee, ny + 1, thy numberOfColumns, &phim, numberOfFactors + 1, his numberOfColumns);
TableOfReal_setSequentialColumnLabels (him.peek(), 1, numberOfFactors, U"y_", 1, 1);
TableOfReal_setSequentialColumnLabels (him.peek(), numberOfFactors + 1, his numberOfColumns, U"x_", 1, 1);
return him.transfer();
} catch (MelderError) {
Melder_throw (me, U": no TableOfReal with scores created.");
}
}
autoTableOfReal FormantTier_downto_TableOfReal (FormantTier me, int includeFormants, int includeBandwidths) {
try {
int maximumNumberOfFormants = FormantTier_getMaxNumFormants (me);
autoTableOfReal thee = TableOfReal_create (my points -> size, 1 +
( includeFormants ? maximumNumberOfFormants : 0 ) +
( includeBandwidths ? maximumNumberOfFormants : 0 ));
TableOfReal_setColumnLabel (thee.peek(), 1, U"Time");
for (long icol = 1, iformant = 1; iformant <= maximumNumberOfFormants; iformant ++) {
char32 label [4];
if (includeFormants) {
Melder_sprint (label,4, U"F", iformant);
TableOfReal_setColumnLabel (thee.peek(), ++ icol, label);
}
if (includeBandwidths) {
Melder_sprint (label,4, U"B", iformant);
TableOfReal_setColumnLabel (thee.peek(), ++ icol, label);
}
}
for (long ipoint = 1; ipoint <= my points -> size; ipoint ++) {
FormantPoint point = (FormantPoint) my points -> item [ipoint];
thy data [ipoint] [1] = point -> time;
for (long icol = 1, iformant = 1; iformant <= maximumNumberOfFormants; iformant ++) {
if (includeFormants) thy data [ipoint] [++ icol] = point -> formant [iformant-1];
if (includeBandwidths) thy data [ipoint] [++ icol] = point -> bandwidth [iformant-1];
}
}
return thee;
} catch (MelderError) {
Melder_throw (me, U": not converted to TableOfReal.");
}
}
autoTableOfReal FFNet_extractWeights (FFNet me, long layer) {
try {
FFNet_checkLayerNumber (me, layer);
long numberOfUnitsFrom = my nUnitsInLayer[layer - 1] + 1;
long numberOfUnitsTo = my nUnitsInLayer[layer];
autoTableOfReal thee = TableOfReal_create (numberOfUnitsFrom, numberOfUnitsTo);
char32 label[40];
for (long i = 1; i <= numberOfUnitsFrom - 1; i++) {
Melder_sprint (label,40, U"L", layer - 1, U"-", i);
TableOfReal_setRowLabel (thee.peek(), i, label);
}
TableOfReal_setRowLabel (thee.peek(), numberOfUnitsFrom, U"Bias");
for (long i = 1; i <= numberOfUnitsTo; i++) {
Melder_sprint (label,40, U"L", layer, U"-", i);
TableOfReal_setColumnLabel (thee.peek(), i, label);
}
long node = 1;
for (long i = 0; i < layer; i++) {
node += my nUnitsInLayer[i] + 1;
}
for (long i = 1; i <= numberOfUnitsTo; i++, node++) {
long k = 1;
for (long j = my wFirst[node]; j <= my wLast[node]; j++) {
thy data[k++][i] = my w[j];
}
}
return thee;
} catch (MelderError) {
Melder_throw (me, U": no TableOfReal created.");
}
}
autoTableOfReal SVD_to_TableOfReal (SVD me, long from, long to) {
try {
autoTableOfReal thee = TableOfReal_create (my numberOfRows, my numberOfColumns);
SVD_synthesize (me, from, to, thy data);
return thee;
} catch (MelderError) {
Melder_throw (me, U": no TableOfReal synthesized.");
}
}
autoTableOfReal SVD_extractRightSingularVectors (SVD me) {
try {
long mn_min = MIN (my numberOfRows, my numberOfColumns);
autoTableOfReal thee = TableOfReal_create (my numberOfColumns, mn_min);
NUMmatrix_copyElements (my v, thy data, 1, my numberOfColumns, 1, mn_min);
return thee;
} catch (MelderError) {
Melder_throw (me, U": right singular vector not extracted.");
}
}
autoTableOfReal SVD_extractSingularValues (SVD me) {
try {
long mn_min = MIN (my numberOfRows, my numberOfColumns);
autoTableOfReal thee = TableOfReal_create (1, mn_min);
NUMvector_copyElements (my d, thy data[1], 1, mn_min);
return thee;
} catch (MelderError) {
Melder_throw (me, U": singular values not extracted.");
}
}
autoTableOfReal Matrix_to_TableOfReal (Matrix me) {
try {
autoTableOfReal thee = TableOfReal_create (my ny, my nx);
for (long i = 1; i <= my ny; i ++)
for (long j = 1; j <= my nx; j ++)
thy data [i] [j] = my z [i] [j];
return thee;
} catch (MelderError) {
Melder_throw (me, U": not converted to TableOfReal.");
}
}
TableOfReal SVD_extractLeftSingularVectors (I) {
iam (SVD);
try {
long mn_min = MIN (my numberOfRows, my numberOfColumns);
autoTableOfReal thee = TableOfReal_create (my numberOfRows, mn_min);
NUMmatrix_copyElements (my u, thy data, 1, my numberOfRows, 1, mn_min);
return thee.transfer();
} catch (MelderError) {
Melder_throw (me, ": left singular vector not extracted.");
}
}
TableOfReal AffineTransform_extractTranslationVector (I) {
iam (AffineTransform);
try {
autoTableOfReal thee = TableOfReal_create (1, my n);
for (long i = 1; i <= my n; i++) {
thy data[1][i] = my t[i];
}
return thee.transfer();
} catch (MelderError) {
Melder_throw (me, ": translation vector not extracted.");
}
}
TableOfReal TableOfReal_extractColumnRanges (TableOfReal me, const wchar_t *ranges) {
try {
long numberOfElements;
autoNUMvector <long> elements (getElementsOfRanges (ranges, my numberOfColumns, & numberOfElements, L"column"), 1);
autoTableOfReal thee = TableOfReal_create (my numberOfRows, numberOfElements);
copyRowLabels (me, thee.peek());
for (long ielement = 1; ielement <= numberOfElements; ielement ++)
copyColumn (me, elements [ielement], thee.peek(), ielement);
return thee.transfer();
} catch (MelderError) {
Melder_throw (me, ": column ranges not extracted.");
}
}
TableOfReal RealTier_downto_TableOfReal (I, const wchar_t *timeLabel, const wchar_t *valueLabel) {
iam (RealTier);
TableOfReal thee = TableOfReal_create (my points -> size, 2); cherror
TableOfReal_setColumnLabel (thee, 1, timeLabel); cherror
TableOfReal_setColumnLabel (thee, 2, valueLabel); cherror
for (long i = 1; i <= my points -> size; i ++) {
RealPoint point = (structRealPoint *)my points -> item [i];
thy data [i] [1] = point -> time;
thy data [i] [2] = point -> value;
}
end:
iferror forget (thee);
return thee;
}
autoTableOfReal Eigen_and_TableOfReal_project (Eigen me, TableOfReal thee, long from, long numberOfComponents) {
try {
if (numberOfComponents == 0) {
numberOfComponents = my numberOfEigenvalues;
}
autoTableOfReal him = TableOfReal_create (thy numberOfRows, numberOfComponents);
Eigen_and_TableOfReal_project_into (me, thee, from, thy numberOfColumns, him.peek(), 1, numberOfComponents);
NUMstrings_copyElements (thy rowLabels, his rowLabels, 1, thy numberOfRows);
return him.transfer();
} catch (MelderError) {
Melder_throw (U"TableOfReal not created from projection.");
}
}
autoTableOfReal PCA_and_TableOfReal_to_TableOfReal_projectRows (PCA me, TableOfReal thee, long numberOfDimensionsToKeep) {
try {
if (numberOfDimensionsToKeep == 0 || numberOfDimensionsToKeep > my numberOfEigenvalues) {
numberOfDimensionsToKeep = my numberOfEigenvalues;
}
autoTableOfReal him = TableOfReal_create (thy numberOfRows, numberOfDimensionsToKeep);
Eigen_and_TableOfReal_into_TableOfReal_projectRows (me, thee, 1, him.get(), 1, numberOfDimensionsToKeep);
NUMstrings_copyElements (thy rowLabels, his rowLabels, 1, thy numberOfRows);
TableOfReal_setSequentialColumnLabels (him.get(), 0, 0, U"pc", 1, 1);
return him;
} catch (MelderError) {
Melder_throw (U"TableOfReal not created from PCA & TableOfReal.");
}
}
autoTableOfReal RealTier_downto_TableOfReal (RealTier me, const char32 *timeLabel, const char32 *valueLabel) {
try {
autoTableOfReal thee = TableOfReal_create (my points.size, 2);
TableOfReal_setColumnLabel (thee.get(), 1, timeLabel);
TableOfReal_setColumnLabel (thee.get(), 2, valueLabel);
for (long i = 1; i <= my points.size; i ++) {
RealPoint point = my points.at [i];
thy data [i] [1] = point -> number;
thy data [i] [2] = point -> value;
}
return thee;
} catch (MelderError) {
Melder_throw (me, U": not converted to TableOfReal.");
}
}
TableOfReal EditDistanceTable_to_TableOfReal (EditDistanceTable me) {
try {
autoTableOfReal thee = TableOfReal_create (my numberOfRows, my numberOfColumns);
for (long j = 1; j <= my numberOfColumns; j++) {
thy columnLabels[j] = Melder_dup (my columnLabels[j]);
}
for (long i = 1; i <= my numberOfRows; i++) {
thy rowLabels[i] = Melder_dup (my rowLabels[i]);
}
NUMmatrix_copyElements<double> (my data, thy data, 1, my numberOfRows, 1, my numberOfColumns);
return thee.transfer();
} catch (MelderError) {
Melder_throw (me, U": no TableOfReal created.");
}
}
autoTableOfReal Excitations_to_TableOfReal (Excitations me) {
try {
Melder_assert (my size > 0);
Matrix m = (Matrix) my item[1];
autoTableOfReal thee = TableOfReal_create (my size, m -> nx);
for (long i = 1; i <= my size; i++) {
double *z = ( (Matrix) my item[i]) -> z[1];
for (long j = 1; j <= m -> nx; j++) {
thy data[i][j] = z[j];
}
}
return thee;
} catch (MelderError) {
Melder_throw (me, U": no TableOfReal created.");
}
}
autoTableOfReal Discriminant_extractGroupCentroids (Discriminant me) {
try {
long m = my groups -> size, n = my eigen -> dimension;
autoTableOfReal thee = TableOfReal_create (m, n);
for (long i = 1; i <= m; i ++) {
SSCP sscp = my groups->at [i];
TableOfReal_setRowLabel (thee.get(), i, Thing_getName (sscp));
NUMvector_copyElements (sscp -> centroid, thy data [i], 1, n);
}
NUMstrings_copyElements (my groups->at [m] -> columnLabels, thy columnLabels, 1, n);
return thee;
} catch (MelderError) {
Melder_throw (me, U": group centroids not extracted.");
}
}
TableOfReal AffineTransform_extractMatrix (I) {
iam (AffineTransform);
try {
autoTableOfReal thee = TableOfReal_create (my n, my n);
NUMmatrix_copyElements (my r, thy data, 1, my n, 1, my n);
for (long i = 1; i <= my n; i++) {
wchar_t label[20];
(void) swprintf (label, 20, L"%ld", i);
TableOfReal_setRowLabel (thee.peek(), i, label);
TableOfReal_setColumnLabel (thee.peek(), i, label);
}
return thee.transfer();
} catch (MelderError) {
Melder_throw (me, ": transformation matrix not extracted.");
}
}
TableOfReal TableOfReal_and_Permutation_permuteRows (I, Permutation thee) {
iam (TableOfReal);
try {
if (my numberOfRows != thy numberOfElements) {
Melder_throw (L"The number of rows in the table and the number of elements in the Permutation must be equal.");
}
autoTableOfReal him = TableOfReal_create (my numberOfRows, my numberOfColumns);
for (long i = 1; i <= thy numberOfElements; i++) {
TableOfReal_copyOneRowWithLabel (me, him.peek(), thy p[i], i);
}
return him.transfer();
} catch (MelderError) {
Melder_throw (me, ": not permuted.");
}
}
TableOfReal CCA_and_Correlation_factorLoadings (CCA me, Correlation thee)
{
TableOfReal him;
long i, j, k, ny = my y -> dimension, nx = my x -> dimension;
double t, **evecy = my y -> eigenvectors, **evecx = my x -> eigenvectors;
if (ny + nx != thy numberOfColumns) return Melder_errorp1 (L"The number "
"of columns in the Correlation object must equal the sum of the "
"dimensions in the CCA object");
him = TableOfReal_create (2 * my numberOfCoefficients, thy numberOfColumns);
if (him == NULL) return NULL;
if (! NUMstrings_copyElements (thy columnLabels, his columnLabels,
1, thy numberOfColumns) ||
! TableOfReal_setSequentialRowLabels (him, 1, my numberOfCoefficients,
L"dv", 1, 1) ||
! TableOfReal_setSequentialRowLabels (him, my numberOfCoefficients + 1,
2 * my numberOfCoefficients, L"iv", 1, 1))
{
forget (him);
return NULL;
}
for (i = 1; i <= thy numberOfRows; i++)
{
for (j = 1; j <= my numberOfCoefficients; j++)
{
t = 0;
for (k = 1; k <= ny; k++)
{
t += thy data[i][k] * evecy[j][k];
}
his data[j][i] = t;
}
for (j = 1; j <= my numberOfCoefficients; j++)
{
t = 0;
for (k = 1; k <= nx; k++)
{
t += thy data[i][ny + k] * evecx[j][k];
}
his data[my numberOfCoefficients + j][i] = t;
}
}
return him;
}
TableOfReal Table_to_TableOfReal (Table me, long labelColumn) {
try {
if (labelColumn < 1 || labelColumn > my numberOfColumns) labelColumn = 0;
autoTableOfReal thee = TableOfReal_create (my rows -> size, labelColumn ? my numberOfColumns - 1 : my numberOfColumns);
for (long icol = 1; icol <= my numberOfColumns; icol ++) {
Table_numericize_Assert (me, icol);
}
if (labelColumn) {
for (long icol = 1; icol < labelColumn; icol ++) {
TableOfReal_setColumnLabel (thee.peek(), icol, my columnHeaders [icol]. label);
}
for (long icol = labelColumn + 1; icol <= my numberOfColumns; icol ++) {
TableOfReal_setColumnLabel (thee.peek(), icol - 1, my columnHeaders [icol]. label);
}
for (long irow = 1; irow <= my rows -> size; irow ++) {
TableRow row = static_cast <TableRow> (my rows -> item [irow]);
wchar_t *string = row -> cells [labelColumn]. string;
TableOfReal_setRowLabel (thee.peek(), irow, string ? string : L"");
for (long icol = 1; icol < labelColumn; icol ++) {
thy data [irow] [icol] = row -> cells [icol]. number; // Optimization.
//thy data [irow] [icol] = Table_getNumericValue_Assert (me, irow, icol);
}
for (long icol = labelColumn + 1; icol <= my numberOfColumns; icol ++) {
thy data [irow] [icol - 1] = row -> cells [icol]. number; // Optimization.
//thy data [irow] [icol - 1] = Table_getNumericValue_Assert (me, irow, icol);
}
}
} else {
for (long icol = 1; icol <= my numberOfColumns; icol ++) {
TableOfReal_setColumnLabel (thee.peek(), icol, my columnHeaders [icol]. label);
}
for (long irow = 1; irow <= my rows -> size; irow ++) {
TableRow row = static_cast <TableRow> (my rows -> item [irow]);
for (long icol = 1; icol <= my numberOfColumns; icol ++) {
thy data [irow] [icol] = row -> cells [icol]. number; // Optimization.
//thy data [irow] [icol] = Table_getNumericValue_Assert (me, irow, icol);
}
}
}
return thee.transfer();
} catch (MelderError) {
Melder_throw (me, ": not converted to TableOfReal.");
}
}
TableOfReal TableOfReal_extractColumnsWhere (TableOfReal me, const wchar_t *condition, Interpreter interpreter) {
try {
Formula_compile (interpreter, me, condition, kFormula_EXPRESSION_TYPE_NUMERIC, TRUE);
/*
* Count the new number of columns.
*/
long numberOfElements = 0;
for (long icol = 1; icol <= my numberOfColumns; icol ++) {
for (long irow = 1; irow <= my numberOfRows; irow ++) {
struct Formula_Result result;
Formula_run (irow, icol, & result);
if (result. result.numericResult != 0.0) {
numberOfElements ++;
break;
}
}
}
if (numberOfElements < 1) Melder_throw ("No columns match this condition.");
/*
* Create room for the result.
*/
autoTableOfReal thee = TableOfReal_create (my numberOfRows, numberOfElements);
copyRowLabels (me, thee.peek());
/*
* Store the result.
*/
numberOfElements = 0;
for (long icol = 1; icol <= my numberOfColumns; icol ++) {
for (long irow = 1; irow <= my numberOfRows; irow ++) {
struct Formula_Result result;
Formula_run (irow, icol, & result);
if (result. result.numericResult != 0.0) {
copyColumn (me, icol, thee.peek(), ++ numberOfElements);
break;
}
}
}
return thee.transfer();
} catch (MelderError) {
Melder_throw (me, ": columns not extracted.");
}
}
TableOfReal Eigen_and_TableOfReal_project (I, thou, long from,
long numberOfComponents)
{
iam (Eigen);
thouart (TableOfReal);
TableOfReal him;
if (numberOfComponents == 0) numberOfComponents = my numberOfEigenvalues;
him = TableOfReal_create (thy numberOfRows, numberOfComponents);
if (him != NULL)
{
if (! Eigen_and_TableOfReal_project_into (me, thee, from,
thy numberOfColumns, & him, 1, numberOfComponents) ||
! NUMstrings_copyElements (thy rowLabels, his rowLabels,
1, thy numberOfRows)) forget (him);
}
return him;
}
autoTableOfReal Discriminant_extractGroupStandardDeviations (Discriminant me) {
try {
long m = my groups->size, n = my eigen -> dimension;
autoTableOfReal thee = TableOfReal_create (m, n);
for (long i = 1; i <= m; i ++) {
SSCP sscp = my groups->at [i];
TableOfReal_setRowLabel (thee.get(), i, Thing_getName (sscp));
long numberOfObservationsm1 = (long) floor (sscp -> numberOfObservations) - 1;
for (long j = 1; j <= n; j ++) {
thy data [i] [j] = numberOfObservationsm1 > 0 ? sqrt (sscp -> data [j] [j] / numberOfObservationsm1) : NUMundefined;
}
}
NUMstrings_copyElements (my groups->at [m] -> columnLabels, thy columnLabels, 1, n);
return thee;
} catch (MelderError) {
Melder_throw (me, U": group standard deviations not extracted.");
}
}
TableOfReal TableOfReal_extractRowsWhereLabel (TableOfReal me, int which_Melder_STRING, const wchar_t *criterion) {
try {
long n = 0;
for (long irow = 1; irow <= my numberOfRows; irow ++) {
if (Melder_stringMatchesCriterion (my rowLabels [irow], which_Melder_STRING, criterion)) {
n ++;
}
}
if (n == 0)
Melder_throw (L"No row matches this criterion.");
autoTableOfReal thee = TableOfReal_create (n, my numberOfColumns);
copyColumnLabels (me, thee.peek());
n = 0;
for (long irow = 1; irow <= my numberOfRows; irow ++)
if (Melder_stringMatchesCriterion (my rowLabels [irow], which_Melder_STRING, criterion))
copyRow (me, irow, thee.peek(), ++ n);
return thee.transfer();
} catch (MelderError) {
Melder_throw (me, ": rows not extracted.");
}
}
autoFeatureWeights FeatureWeights_create
(
///////////////////////////////
// Parameters //
///////////////////////////////
long nweights // number of weights
)
{
try {
autoFeatureWeights me = Thing_new (FeatureWeights);
my fweights = TableOfReal_create (1, nweights);
for (long i = 1; i <= nweights; i ++) {
my fweights -> data [1] [i] = 1;
}
return me;
} catch (MelderError) {
Melder_throw (U"FeatureWeights not created.");
}
}
