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memisc (version 0.95-18)

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

10,745

Version

0.95-18

License

GPL-2

Maintainer

Martin Elff

Last Published

June 2nd, 2009

Functions in memisc (0.95-18)

data.set

Data Set Objects
dimrename

Change dimnames, rownames, or colnames
getSummary

Get Model Summaries for Use with "mtable"
bucket

Abstract Data Structures to Collect Simulation Results
Substitute

Substitutions in Language Objects
mtable

Comparative Table of Model Estimates
applyTemplate

Apply a Formatting Template to a Numeric or Character Vector
labels

Value Labels
items

Survey Items
mkHelpDir

Collect HTML Documentation
Memisc

Introduction to the `memisc' Package
as.array

Converting Data Frames into Arrays
By

Conditional evaluation of an expression
annotations

Adding Annotations to Objects
Table

One-Dimensional Table of Frequences and/or Percentages
Termplot

Produce a Term Plot Lattice
importers

Object Oriented Intervace to Foreign Files
as.symbols

Construction of Lists of Symbols
foreach

Loop over Variables in a Data Frame or Environment
percent

Table of Percentages with Percentage Base
panel.errbars

Panel Functions for Error Bars
prediction.frame

Produce a Data Frame of Predictions and Independent Variables
aggragate.formula

Data Frames and Tables of Descriptive Statistics
contr

Convenience Methods for Setting Contrasts
negative match

Negative Match
recode

Recode Items, Factors and Numeric Vectors
collect

Collect Objects
retain

Retain Objects in an Environment
Simulate

Simulation Experiments
UnZip

Extract Files from Zip Files
measurement

Levels of Measurement of Survey Items
relabel

Change labels of factors or labelled objects
reorder.array

Reorder an Array or Matrix
rename

Change Names of a Named Object
trimws

Trim Leading and Trailing Whitespaces
value.filter

Value Filters
sort-methods

Convenience Methods to Sort Data Frames and Data Sets
styles

Formatting Styles for Coefficients and Factor Contrasts
Sapply

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

Additional Methods for LaTeX Representations for R objects
include

Attach a Source File to the Search Path
codebook

Generate a Codebook of a Data Set
sample-methods

Take a Sample from a Data Frame-like Object
to.data.frame

Convert an Array into a Data Frame
Utility classes

Named Lists, Lists of Items, and Atomic Vectors
Descriptives

Vectors of Univariate Sample Statistics
cases

Distinguish between Cases Specified by Logical Conditions
query

Query an Object for Information