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memisc (version 0.96-10)

Tools for Management of Survey Data, Graphics, Programming, Statistics, and Simulation

Description

One of the aims of this package is to make life easier for 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. Also some convenience tools for graphics, programming, and simulation are provided.

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Version

Install

install.packages('memisc')

Monthly Downloads

11,734

Version

0.96-10

License

GPL-2

Maintainer

Martin Elff

Last Published

October 13th, 2014

Functions in memisc (0.96-10)

codebook

Generate a Codebook of a Data Set
data.set

Data Set Objects
Termplot

Produce a Term Plot Lattice
styles

Formatting Styles for Coefficients and Factor Contrasts
Substitute

Substitutions in Language Objects
sort-methods

Convenience Methods to Sort Data Frames and Data Sets
annotations

Adding Annotations to Objects
panel.errbars

Panel Functions for Error Bars
importers

Object Oriented Intervace to Foreign Files
rename

Change Names of a Named Object
value.filter

Value Filters
dimrename

Change dimnames, rownames, or colnames
toLatex

Additional Methods for LaTeX Representations for R objects
UnZip

Extract Files from Zip Files
negative match

Negative Match
collect

Collect Objects
Simulate

Support for Simulation Experiments
Memisc

Introduction to the `memisc' Package
items

Survey Items
prediction.frame

Produce a Data Frame of Predictions and Independent Variables
cases

Distinguish between Cases Specified by Logical Conditions
Utility classes

Named Lists, Lists of Items, and Atomic Vectors
getSummary

Get Model Summaries for Use with "mtable"
query

Query an Object for Information
Descriptives

Vectors of Univariate Sample Statistics
to.data.frame

Convert an Array into a Data Frame
Sapply

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

Attach a Source File to the Search Path
sample-methods

Take a Sample from a Data Frame-like Object
retain

Retain Objects in an Environment
contr

Convenience Methods for Setting Contrasts
reorder.array

Reorder an Array or Matrix
as.symbols

Construction of Lists of Symbols
foreach

Loop over Variables in a Data Frame or Environment
relabel

Change labels of factors or labelled objects
mtable

Comparative Table of Model Estimates
recode

Recode Items, Factors and Numeric Vectors
measurement

Levels of Measurement of Survey Items
percent

Table of Percentages with Percentage Base
as.array

Converting Data Frames into Arrays
trimws

Trim Leading and Trailing Whitespaces
applyTemplate

Apply a Formatting Template to a Numeric or Character Vector
bucket

Abstract Data Structures to Collect Simulation Results
labels

Value Labels
aggragate.formula

Data Frames and Tables of Descriptive Statistics
Table

One-Dimensional Table of Frequences and/or Percentages
By

Conditional Evaluation of an Expression