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memisc (version 0.99.31.8.3)

Management of Survey Data and Presentation of Analysis Results

Description

An infrastructure for the management of survey data including value labels, definable missing values, recoding of variables, production of code books, and import of (subsets of) 'SPSS' and 'Stata' files is provided. Further, the package allows to produce tables and data frames of arbitrary descriptive statistics and (almost) publication-ready tables of regression model estimates, which can be exported to 'LaTeX' and HTML.

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Version

Install

install.packages('memisc')

Monthly Downloads

10,927

Version

0.99.31.8.3

License

GPL-2 | GPL-3

Issues

Pull Requests

Stars

Forks

Repository

https://github.com/melff/memisc/

Homepage

https://melff.github.io/memisc/

Maintainer

Martin Elff

Last Published

April 14th, 2025

Functions in memisc (0.99.31.8.3)

Apply a Formatting Template to a Numeric or Character Vector

Distinguish between Cases Specified by Logical Conditions

Adding Annotations to Objects

Converting Data Frames into Arrays

Operators for Setting Annotations and Attributes

Write Codebooks and Variable Descriptions into a Text File

Substitutions in Language Objects

Construction of Lists of Symbols

Assign a values to a variable for instances where a condition is met

One-Dimensional Table of Frequences and/or Percentages

Coarsen a vector into a factor with a lower number of levels

deduplicate_labels

Handle duplicated labels

Convenience Methods for Setting Contrasts

Character Translation of Aspects of Objects

Describe structure of Data Sets and Importers

data.set manipulation

Manipulation of Data Sets

Data Set Objects

Contract data into pattern-frequency format

Generate a Codebook of a Data Set

Collect Objects

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

format_html.ftable

Format "Flattened Tables" as HTML

format_html.codebook

Format Codebooks as HTML

Change dimnames, rownames, or colnames

Generic Tables and Data Frames of Descriptive Statistics

Combining flattened tables.

duplicated_labels

Check for and report duplicated labels

Format Codebooks as Markdown

Get Model Summaries for Use with "mtable"

Building Blocks for HTML Code

measurement_autolevel

Automatically Adapt Measurement Levels

memisc-deprecated

Deprecated Functions in Package memisc

mtable_format_delim

Format for 'mtable' Objects for Writing into File

Levels of Measurement of Survey Items

Object Oriented Interface to Foreign Files

items-to-vectors

How Survey Items Are Converted into "Ordinary" Data Vectors

Query an Object for Information

mtable_format_html

HTML Formatting for 'mtable' Results

Mark Negative Values as Missing

Easy Creation of Tables of Percentages

Change Names of a Named Object

mtable_format_latex

Format 'mtable' Results for LaTeX

Table of Percentages with Percentage Base

Change labels of factors or labelled objects

Reorder an Array or Matrix

Recode Items, Factors and Numeric Vectors

Convenience Methods to Sort Data Frames and Data Sets

mtable_format_print

Print Format for 'mtable' Objects

Comparative Table of Model Estimates

Retain Objects in an Environment

Additional Methods for LaTeX Representations for R objects

Convert an Array into a Data Frame

Formatting Styles for Coefficients, Factor Contrasts, and Summary Statistics

HTML Output for 'view.

Table of frequencies for unlabelled codes

Interface to Packages 'tibble' and 'haven'

Add Alternative Variance Estimates to Models Estimates

Apply a function to ranges of variables

A Generic Viewing Function

Convenience wrappers for common statistical functions

Reverse the codes of a survey item or the levels of a factor

Take a Sample from a Data Frame-like Object

Utility classes

Named Lists, Lists of Items, and Atomic Vectors

Trim Codes from the Labels of an Item

within-operators

Operators to abbreviate use of "with" and "within"

Means for groups of observations

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

Create a list and conveniently supply names to its elements

Operate on grouped data in data frames and data sets

Vectors of Univariate Sample Statistics

Reshape data frames or data sets

Conditional Evaluation of an Expression

Convert Annotations, and Value Labels between Encodings

Introduction to the 'memisc' Package

Loop over Variables in a Data Frame or Environment