Package index • SSBtools

All functions

AddLeadingZeros(): Add leading zeros to numbers while preserving other text

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

CheckInput() check_input(): Checking function inputs

DataDummyHierarchy() DataDummyHierarchies(): Create a (signed) dummy matrix for hierarcical mapping of codes in data

DimList2Hierarchy(): DimList2Hierarchy

DimList2Hrc() Hrc2DimList(): DimList2Hrc/Hrc2DimList

DummyApply(): Apply a function to subsets defined by a dummy matrix

DummyDuplicated(): Duplicated columns in dummy matrix

DummyHierarchy() DummyHierarchies(): Converting hierarchy specifications to a (signed) dummy matrix

Extend0(): Add zero frequency rows

Extend0rnd1() Extend0rnd2() Extend0rnd1b(): 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

FormulaSelection() formula_selection(): Limit matrix or data frame to selected model terms

FormulaSums() Formula2ModelMatrix(): Sums (aggregates) and/or sparse model matrix with possible cross table

GaussIndependent() GaussRank(): Linearly independent rows and columns by Gaussian elimination

GaussIterationFunction(): An iFunction argument to GaussSuppression

GaussSuppression(): Secondary suppression by Gaussian elimination

HierarchicalGroups(): Finding hierarchical variable groups

HierarchicalWildcardGlobbing(): Find variable combinations by advanced wildcard/globbing specifications.

Hierarchies2ModelMatrix(): Model matrix representing crossed hierarchies

HierarchiesAndFormula2ModelMatrix(): Model matrix representing crossed hierarchies according to a formula

Hierarchy2Formula() Formula2Hierarchy() Hierarchies2Formulas(): Hierarchy2Formula

HierarchyCompute(): Hierarchical Computations

HierarchyCompute2(): Extended Hierarchical Computations

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

Matrix2list() Matrix2listInt(): Convert matrix to sparse list

Mipf(): Iterative proportional fitting from matrix input

ModelMatrix() NamesFromModelMatrixInput(): Model matrix from hierarchies and/or a formula

NumSingleton(): Decoding of singletonMethod

Number(): Adding leading zeros

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

SSBtoolsData(): Function that returns a dataset

SortRows(): Sorting rows of a matrix or data frame

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

aggregate_by_pkg(): Aggregate by base R or data.table

aggregate_multiple_fun(): Wrapper to aggregate

any_duplicated_rows(): Fast alternative to anyDuplicated()

data_diff_groups(): Add diff_groups results as columns in a data frame

diff_groups(): Difference and Sum Groups

dummy_aggregate(): aggregate_multiple_fun using a dummy matrix

filter_by_variable() names_by_variable(): Filter a List of Items or Retrieve Names by a Variable

formula_utils: Functions for formula manipulation

get_colnames(): Get column names from a data.frame, tibble, or data.table

hierarchies_as_vars(): Hierarchies coded as variables

map_hierarchies_to_data(): Add variables to dataset based on hierarchies

matlabColon() SeqInc(): Simulate Matlab's ':'

max_contribution() n_contributors(): Find Major Contributions to Aggregates and Count Contributors

model_aggregate(): Hierarchical aggregation via model specification

output_term_labels(): Extract vector of term labels from a data.frame

quantile_weighted(): Weighted quantiles

table_all_integers(): Table all integers from 1 to n

tables_by_formulas(): Tabular Statistics Based on Formulas

total_collapse(): Collapse variables to single representation

vars_to_hierarchies(): Transform hierarchies coded as Variables to "to-from" format

zero_col() single_col(): Check for empty matrix columns (or rows)