Statistics Norway's Miscellaneous Tools

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Documentation for package ‘SSBtools’ version 1.5.0

• DESCRIPTION file.

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AddLeadingZeros	Add leading zeros to numbers while preserving other text
aggregate_multiple_fun	Wrapper to 'aggregate'
As_TsparseMatrix	Transform to TsparseMatrix/dgTMatrix
AutoHierarchies	Ensure standardized coding of hierarchies
AutoSplit	Creating variables by splitting the elements of a character vector without needing a split string
CbindIdMatch	Combine several data frames by using id variables to match rows
DataDummyHierarchies	Create a (signed) dummy matrix for hierarcical mapping of codes in data
DataDummyHierarchy	Create a (signed) dummy matrix for hierarcical mapping of codes in data
DimList2Hierarchy	DimList2Hierarchy
DimList2Hrc	DimList2Hrc/Hrc2DimList
DummyApply	Apply a function to subsets defined by a dummy matrix
DummyDuplicated	Duplicated columns in dummy matrix
DummyHierarchies	Converting hierarchy specifications to a (signed) dummy matrix
DummyHierarchy	Converting hierarchy specifications to a (signed) dummy matrix
dummy_aggregate	'aggregate_multiple_fun' using a dummy matrix
Extend0	Add zero frequency rows
Extend0rnd1	varGroups-attribute to Extend0, Example functions
Extend0rnd1b	varGroups-attribute to Extend0, Example functions
Extend0rnd2	varGroups-attribute to Extend0, Example functions
FactorLevCorr	Factor level correlation
FindCommonCells	Finding commonCells
FindDimLists	Finding dimList
FindDisclosiveCells	Find directly disclosive cells
FindHierarchies	Finding hierarchies automatically from data
FindTableGroup	Finding table(s) of hierarchical variable groups
Formula2Hierarchy	Hierarchy2Formula
Formula2ModelMatrix	Sums (aggregates) and/or sparse model matrix with possible cross table
FormulaSelection	Limit matrix or data frame to selected model terms
FormulaSums	Sums (aggregates) and/or sparse model matrix with possible cross table
formula_selection	Limit matrix or data frame to selected model terms
GaussIndependent	Linearly independent rows and columns by Gaussian elimination
GaussIterationFunction	An 'iFunction' argument to 'GaussSuppression'
GaussRank	Linearly independent rows and columns by Gaussian elimination
GaussSuppression	Secondary suppression by Gaussian elimination
HierarchicalGroups	Finding hierarchical variable groups
HierarchicalWildcardGlobbing	Find variable combinations by advanced wildcard/globbing specifications.
Hierarchies2Formulas	Hierarchy2Formula
Hierarchies2ModelMatrix	Model matrix representing crossed hierarchies
HierarchiesAndFormula2ModelMatrix	Model matrix representing crossed hierarchies according to a formula
Hierarchy2Formula	Hierarchy2Formula
HierarchyCompute	Hierarchical Computations
HierarchyCompute2	Extended Hierarchical Computations
Hrc2DimList	DimList2Hrc/Hrc2DimList
LSfitNonNeg	Non-negative regression fits with a sparse overparameterized model matrix
MakeHierFormula	Make model formula from data taking into account hierarchical variables
Match	Matching rows in data frames
matlabColon	Simulate Matlab's ':'
Matrix2list	Convert matrix to sparse list
Matrix2listInt	Convert matrix to sparse list
Mipf	Iterative proportional fitting from matrix input
ModelMatrix	Model matrix from hierarchies and/or a formula
model_aggregate	Hierarchical aggregation via model specification
NamesFromModelMatrixInput	Model matrix from hierarchies and/or a formula
Number	Adding leading zeros
NumSingleton	Decoding of 'singletonMethod'
quantile_weighted	Weighted quantiles
RbindAll	Combining several data frames when the columns don't match
Reduce0exact	Reducing a non-negative regression problem
RoundWhole	Round values that are close two whole numbers
RowGroups	Create numbering according to unique rows
SeqInc	Simulate Matlab's ':'
SortRows	Sorting rows of a matrix or data frame
SSBtoolsData	Function that returns a dataset
Stack	Stack columns from a data frame and include variables.
UniqueSeq	Sequence within unique values
Unstack	Unstack a column from a data frame and include additional variables.
WildcardGlobbing	Row selection by wildcard/globbing
WildcardGlobbingVector	Selection of elements by wildcard/globbing