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memisc (version 0.99.14.3)

Tools for Management of Survey Data and for the Presentation of Analysis Results

Description

One of the aims of this package is to make life easier for R users who deal with survey data sets. It provides 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. Further, it provides functionality 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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Install

install.packages('memisc')

Monthly Downloads

7,994

Version

0.99.14.3

License

GPL-2

Issues

1

Pull Requests

0

Stars

47

Forks

7

Maintainer

Martin Elff

Last Published

October 2nd, 2017

Functions in memisc (0.99.14.3)

Descriptives

Vectors of Univariate Sample Statistics
foreach

Loop over Variables in a Data Frame or Environment
data.set manipulation

Manipulation of Data Sets
dimrename

Change dimnames, rownames, or colnames
items

Survey Items
labels

Value Labels
percentages

Easy Creation of Tables of Percentages
query

Query an Object for Information
to.data.frame

Convert an Array into a Data Frame
toLatex

Additional Methods for LaTeX Representations for R objects
importers

Object Oriented Interface to Foreign Files
measurement

Levels of Measurement of Survey Items
mtable_format_delim

Format for 'mtable' Objects for Writing into File
rename

Change Names of a Named Object
reorder.array

Reorder an Array or Matrix
wild.codes

Table of frequencies for unlabelled codes
withSE

Add Alternative Variance Estimates to Models Estimates
Iconv

Convert Annotations, and Value Labels between Encodings
Sapply

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

Convenience Methods for Setting Contrasts
data.set

Data Set Objects
genTable

Generic Tables and Data Frames of Descriptive Statistics
getSummary

Get Model Summaries for Use with "mtable"
mtable_format_print

Print Format for 'mtable' Objects
mtable

Comparative Table of Model Estimates
recode

Recode Items, Factors and Numeric Vectors
relabel

Change labels of factors or labelled objects
Write

Write Codebooks and Variable Descriptions into a Text File
annotations

Adding Annotations to Objects
codebook

Generate a Codebook of a Data Set
collect

Collect Objects
format_html

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

Format Codebooks as HTML
mtable_format_html

HTML Formatting for 'mtable' Results
mtable_format_latex

Format 'mtable' Results for LaTeX
retain

Retain Objects in an Environment
sample-methods

Take a Sample from a Data Frame-like Object
Memisc

Introduction to the `memisc' Package
By

Conditional Evaluation of an Expression
as.symbols

Construction of Lists of Symbols
cases

Distinguish between Cases Specified by Logical Conditions
format_html.ftable

Format "Flattened Tables" as HTML
ftable-matrix

Combining flattened tables.
negative match

Negative Match
percent

Table of Percentages with Percentage Base
sort-methods

Convenience Methods to Sort Data Frames and Data Sets
styles

Formatting Styles for Coefficients, Factor Contrasts, and Summary Statistics
Utility classes

Named Lists, Lists of Items, and Atomic Vectors
value.filter

Value Filters
Substitute

Substitutions in Language Objects
Table

One-Dimensional Table of Frequences and/or Percentages
applyTemplate

Apply a Formatting Template to a Numeric or Character Vector
as.array

Converting Data Frames into Arrays
html

Building Blocks for HTML Code