Conditional Evaluation of an Expression
Generate a Codebook of a Data Set
Distinguish between Cases Specified by Logical Conditions
One-Dimensional Table of Frequences and/or Percentages
Convenience Methods for Setting Contrasts
Write Codebooks and Variable Descriptions into a Text File
Data Set Objects
Format Objects in HTML, show the HTML Format or Write it to a File
Collect Objects
Check for and report duplicated labels
Manipulation of Data Sets
Get Model Summaries for Use with "mtable"
Format 'mtable' Results for LaTeX
Describe structure of Data Sets and Importers
Adding Annotations to Objects
Converting Data Frames into Arrays
Apply a Formatting Template to a Numeric or Character Vector
Construction of Lists of Symbols
Change dimnames, rownames, or colnames
Comparative Table of Model Estimates
Combining flattened tables.
Format Codebooks as HTML
Negative Match
Print Format for 'mtable' Objects
Formatting Styles for Coefficients, Factor Contrasts, and Summary Statistics
Building Blocks for HTML Code
Table of Percentages with Percentage Base
Additional Methods for LaTeX Representations for R objects
Change labels of factors or labelled objects
HTML Formatting for 'mtable' Results
Format for 'mtable' Objects for Writing into File
Change Names of a Named Object
Generic Tables and Data Frames of Descriptive Statistics
Easy Creation of Tables of Percentages
Named Lists, Lists of Items, and Atomic Vectors
Interface to Packages 'tibble' and 'haven'
Syntactic Sugar for Setting Annotations and Attributes
Take a Sample from a Data Frame-like Object
Recode Items, Factors and Numeric Vectors
Levels of Measurement of Survey Items
Convert an Array into a Data Frame
Value Labels
Query an Object for Information
Format "Flattened Tables" as HTML
HTML Output for 'view.
Object Oriented Interface to Foreign Files
Survey Items
Table of frequencies for unlabelled codes
A Generic Viewing Function
Value Filters
Add Alternative Variance Estimates to Models Estimates
Retain Objects in an Environment
Reorder an Array or Matrix
Convenience Methods to Sort Data Frames and Data Sets
Create a list and conveniently supply names to its elements
Operate on grouped data in data frames and data sets
Introduction to the 'memisc' Package
Vectors of Univariate Sample Statistics
Loop over Variables in a Data Frame or Environment
Convert Annotations, and Value Labels between Encodings
Substitutions in Language Objects
A Dimension Preserving Variant of "sapply" and "lapply"
Reshape data frames or data sets