memisc

Introduction to the 'memisc' Package

Conditional Evaluation of an Expression

Vectors of Univariate Sample Statistics

Loop over Variables in a Data Frame or Environment

Operate on grouped data in data frames and data sets

Convert Annotations, and Value Labels between Encodings

Create a list and conveniently supply names to its elements

Reshape data frames or data sets

A Dimension Preserving Variant of "sapply" and "lapply"

Substitutions in Language Objects

One-Dimensional Table of Frequences and/or Percentages

Write Codebooks and Variable Descriptions into a Text File

Adding Annotations to Objects

Apply a Formatting Template to a Numeric or Character Vector

Converting Data Frames into Arrays

Construction of Lists of Symbols

Distinguish between Cases Specified by Logical Conditions

Generate a Codebook of a Data Set

Describe structure of Data Sets and Importers

Collect Objects

Convenience Methods for Setting Contrasts

Data Set Objects

Manipulation of Data Sets

Handle duplicated labels

Change dimnames, rownames, or colnames

Check for and report duplicated labels

Format Objects in HTML, show the HTML Format or Write it to a File

Format Codebooks as HTML

Format "Flattened Tables" as HTML

Combining flattened tables.

Generic Tables and Data Frames of Descriptive Statistics

Get Model Summaries for Use with "mtable"

Building Blocks for HTML Code

Object Oriented Interface to Foreign Files

Survey Items

How Survey Items Are Converted into "Ordinary" Data Vectors

Value Labels

Levels of Measurement of Survey Items

Deprecated Functions in Package memisc

Comparative Table of Model Estimates

Format for 'mtable' Objects for Writing into File

HTML Formatting for 'mtable' Results

Format 'mtable' Results for LaTeX

Print Format for 'mtable' Objects

Negative Match

Table of Percentages with Percentage Base

Easy Creation of Tables of Percentages

Query an Object for Information

Recode Items, Factors and Numeric Vectors

Change labels of factors or labelled objects

Change Names of a Named Object

Reorder an Array or Matrix

Retain Objects in an Environment

Take a Sample from a Data Frame-like Object

Convenience Methods to Sort Data Frames and Data Sets

Convenience wrappers for common statistical functions

Formatting Styles for Coefficients, Factor Contrasts, and Summary Statistics

Syntactic Sugar for Setting Annotations and Attributes

Interface to Packages 'tibble' and 'haven'

Convert an Array into a Data Frame

Additional Methods for LaTeX Representations for R objects

Named Lists, Lists of Items, and Atomic Vectors

Value Filters

A Generic Viewing Function

HTML Output for 'view.

Table of frequencies for unlabelled codes

Add Alternative Variance Estimates to Models Estimates