Learn R Programming

memisc (version 0.99.31.8)

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.

Copy Link

Version

Install

install.packages('memisc')

Monthly Downloads

11,424

Version

0.99.31.8

License

GPL-2 | GPL-3

Issues

Pull Requests

Stars

Forks

Maintainer

Last Published

September 28th, 2024

Functions in memisc (0.99.31.8)

as.array

Converting Data Frames into Arrays
data.set manipulation

Manipulation of Data Sets
collect

Collect Objects
charTrans

Character Translation of Aspects of Objects
contr

Convenience Methods for Setting Contrasts
data.set

Data Set Objects
contract

Contract data into pattern-frequency format
deduplicate_labels

Handle duplicated labels
codeplan

Describe structure of Data Sets and Importers
coarsen

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

Generate a Codebook of a Data Set
format_html

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

Building Blocks for HTML Code
genTable

Generic Tables and Data Frames of Descriptive Statistics
format_md

Format Codebooks as Markdown
format_html.ftable

Format "Flattened Tables" as HTML
ftable-matrix

Combining flattened tables.
duplicated_labels

Check for and report duplicated labels
format_html.codebook

Format Codebooks as HTML
dimrename

Change dimnames, rownames, or colnames
getSummary

Get Model Summaries for Use with "mtable"
measurement_autolevel

Automatically Adapt Measurement Levels
labels

Value Labels
measurement

Levels of Measurement of Survey Items
memisc-deprecated

Deprecated Functions in Package memisc
mtable_format_html

HTML Formatting for 'mtable' Results
items

Survey Items
mtable_format_latex

Format 'mtable' Results for LaTeX
mtable_format_delim

Format for 'mtable' Objects for Writing into File
importers

Object Oriented Interface to Foreign Files
items-to-vectors

How Survey Items Are Converted into "Ordinary" Data Vectors
relabel

Change labels of factors or labelled objects
negative match

Negative Match
percentages

Easy Creation of Tables of Percentages
rename

Change Names of a Named Object
neg2mis

Mark Negative Values as Missing
percent

Table of Percentages with Percentage Base
recode

Recode Items, Factors and Numeric Vectors
query

Query an Object for Information
mtable_format_print

Print Format for 'mtable' Objects
mtable

Comparative Table of Model Estimates
sort-methods

Convenience Methods to Sort Data Frames and Data Sets
reversed

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

Interface to Packages 'tibble' and 'haven'
Mean

Convenience wrappers for common statistical functions
retain

Retain Objects in an Environment
sample-methods

Take a Sample from a Data Frame-like Object
reorder.array

Reorder an Array or Matrix
to.data.frame

Convert an Array into a Data Frame
styles

Formatting Styles for Coefficients, Factor Contrasts, and Summary Statistics
toLatex

Additional Methods for LaTeX Representations for R objects
value.filter

Value Filters
withSE

Add Alternative Variance Estimates to Models Estimates
view_html

HTML Output for 'view.
xapply

Apply a function to ranges of variables
trim_labels

Trim Codes from the Labels of an Item
within-operators

Operators to abbreviate use of "with" and "within"
wild.codes

Table of frequencies for unlabelled codes
view

A Generic Viewing Function
Utility classes

Named Lists, Lists of Items, and Atomic Vectors
By

Conditional Evaluation of an Expression
List

Create a list and conveniently supply names to its elements
Descriptives

Vectors of Univariate Sample Statistics
Groups

Operate on grouped data in data frames and data sets
Means

Means for groups of observations
Reshape

Reshape data frames or data sets
attr-operators

Operators for Setting Annotations and Attributes
annotations

Adding Annotations to Objects
Iconv

Convert Annotations, and Value Labels between Encodings
Write

Write Codebooks and Variable Descriptions into a Text File
as.symbols

Construction of Lists of Symbols
foreach

Loop over Variables in a Data Frame or Environment
Sapply

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

Introduction to the 'memisc' Package
Substitute

Substitutions in Language Objects
Table

One-Dimensional Table of Frequences and/or Percentages
cases

Distinguish between Cases Specified by Logical Conditions
applyTemplate

Apply a Formatting Template to a Numeric or Character Vector
assign_if

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