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