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memisc (version 0.99.31.8.2)

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

11,762

Version

0.99.31.8.2

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

February 23rd, 2025

Functions in memisc (0.99.31.8.2)

Construction of Lists of Symbols

Adding Annotations to Objects

Converting Data Frames into Arrays

Operators for Setting Annotations and Attributes

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

Write Codebooks and Variable Descriptions into a Text File

Distinguish between Cases Specified by Logical Conditions

One-Dimensional Table of Frequences and/or Percentages

Substitutions in Language Objects

Apply a Formatting Template to a Numeric or Character Vector

Convenience Methods for Setting Contrasts

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

deduplicate_labels

Handle duplicated labels

data.set manipulation

Manipulation of Data Sets

Contract data into pattern-frequency format

Character Translation of Aspects of Objects

Describe structure of Data Sets and Importers

Data Set Objects

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

Combining flattened tables.

Change dimnames, rownames, or colnames

Building Blocks for HTML Code

duplicated_labels

Check for and report duplicated labels

Get Model Summaries for Use with "mtable"

Format Codebooks as Markdown

format_html.codebook

Format Codebooks as HTML

Generic Tables and Data Frames of Descriptive Statistics

mtable_format_html

HTML Formatting for 'mtable' Results

mtable_format_latex

Format 'mtable' Results for LaTeX

memisc-deprecated

Deprecated Functions in Package memisc

measurement_autolevel

Automatically Adapt Measurement Levels

Levels of Measurement of Survey Items

mtable_format_delim

Format for 'mtable' Objects for Writing into File

Object Oriented Interface to Foreign Files

Easy Creation of Tables of Percentages

Comparative Table of Model Estimates

Change labels of factors or labelled objects

items-to-vectors

How Survey Items Are Converted into "Ordinary" Data Vectors

Mark Negative Values as Missing

Recode Items, Factors and Numeric Vectors

mtable_format_print

Print Format for 'mtable' Objects

Change Names of a Named Object

Table of Percentages with Percentage Base

Query an Object for Information

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

Convenience Methods to Sort Data Frames and Data Sets

Reorder an Array or Matrix

Convenience wrappers for common statistical functions

Convert an Array into a Data Frame

Interface to Packages 'tibble' and 'haven'

Formatting Styles for Coefficients, Factor Contrasts, and Summary Statistics

Additional Methods for LaTeX Representations for R objects

Take a Sample from a Data Frame-like Object

Trim Codes from the Labels of an Item

Utility classes

Named Lists, Lists of Items, and Atomic Vectors

Table of frequencies for unlabelled codes

HTML Output for 'view.

Apply a function to ranges of variables

A Generic Viewing Function

Retain Objects in an Environment

within-operators

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

Add Alternative Variance Estimates to Models Estimates

Create a list and conveniently supply names to its elements

Convert Annotations, and Value Labels between Encodings

Introduction to the 'memisc' Package

Operate on grouped data in data frames and data sets

Vectors of Univariate Sample Statistics

Reshape data frames or data sets

Means for groups of observations

Loop over Variables in a Data Frame or Environment

Conditional Evaluation of an Expression

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