Function reference • memisc

Introduction

memisc-package memisc: Introduction to the 'memisc' Package

Survey items and survey data sets

annotation() `annotation<-`() description() `description<-`() wording() `wording<-`(): Adding Annotations to Objects

codebook(): Generate a Codebook of a Data Set

codeplan() setCodeplan() `codeplan<-`() read_codeplan() write_codeplan(): Describe structure of Data Sets and Importers

data.set() as.data.set() is.data.set() as.data.frame(<data.set>) within(<data.set>) dsView() head(<data.set>) tail(<data.set>): Data Set Objects

subset(<data.set>) unique(<data.set>) cbind(<data.set>) rbind(<data.set>) merge(<data.set>,<data.set>) merge(<data.set>,<data.frame>) merge(<data.frame>,<data.set>): Manipulation of Data Sets

deduplicate_labels(): Handle duplicated labels

duplicated_labels(): Check for and report duplicated labels

spss.file() spss.fixed.file() spss.portable.file() spss.system.file() Stata.file() subset(<spss.system.importer>) subset(<spss.portable.importer>) subset(<spss.fixed.importer>) subset(<Stata.importer>) subset(<Stata_new.importer>) as.data.set(<importer>) head(<importer>) tail(<importer>): Object Oriented Interface to Foreign Files

as.item(<numeric>) as.item(<character>) as.item(<logical>) as.item(<factor>) as.item(<ordered>) as.item(<POSIXct>) as.item(<double.item>) as.item(<integer.item>) as.item(<character.item>) as.item(<datetime.item>): Survey Items

as.vector(<item>) as.numeric(<item>) as.integer(<item>) as.factor(<item.vector>) as.ordered(<item.vector>) as.character(<item.vector>) as.character(<datetime.item.vector>) as.character(<Date.item.vector>) as.data.frame(<character.item>) as.data.frame(<double.item>) as.data.frame(<integer.item>) as.data.frame(<Date.item>) as.data.frame(<datetime.item>): How Survey Items Are Converted into "Ordinary" Data Vectors

labels() `labels<-`(): Value Labels

measurement(<item>) `measurement<-`(<item>) measurement(<data.set>) `measurement<-`(<data.set>) is.nominal() is.ordinal() is.interval() is.ratio() as.nominal() as.ordinal() as.interval() as.ratio() set_measurement(): Levels of Measurement of Survey Items

measurement_autolevel(): Automatically Adapt Measurement Levels

neg2mis(): Mark Negative Values as Missing

relabel(<default>) relabel(<factor>) relabel4(<item>): Change labels of factors or labelled objects

as_tibble.data.set() as.item(<haven_labelled>) as.item(<haven_labelled_spss>) as_haven() as.data.set(<tbl_df>): Interface to Packages 'tibble' and 'haven'

trim_labels(): Trim Codes from the Labels of an Item

value.filter() missing.values() `missing.values<-`() valid.values() `valid.values<-`() valid.range() `valid.range<-`() is.valid() nvalid() is.missing() include.missings(): Value Filters

wild.codes(): Table of frequencies for unlabelled codes

Tables of model estimates

getSummary(<lm>) getSummary(<glm>) getSummary(<merMod>) getSummary(<clm>) getSummary(<polr>) getSummary(<simex>) getSummary(<aftreg>) getSummary(<coxph>) getSummary(<phreg>) getSummary(<survreg>) getSummary(<weibreg>) getSummary(<ivreg>) getSummary(<tobit>) getSummary(<hurdle>) getSummary(<zeroinfl>) getSummary(<betareg>) getSummary(<multinom>) getSummary_expcoef(): Get Model Summaries for Use with "mtable"

mtable() relabel(<memisc_mtable>) format(<memisc_mtable>) print(<memisc_mtable>) write.mtable() toLatex(<memisc_mtable>): Comparative Table of Model Estimates

mtable_format_delim(): Format for 'mtable' Objects for Writing into File

mtable_format_html() format_html(<memisc_mtable>): HTML Formatting for 'mtable' Results

mtable_format_latex(): Format 'mtable' Results for LaTeX

mtable_format_print(): Print Format for 'mtable' Objects

setCoefTemplate() getCoefTemplate() getSummaryTemplate() setSummaryTemplate() summaryTemplate(): Formatting Styles for Coefficients, Factor Contrasts, and Summary Statistics

withSE() withVCov() summary(<withVCov>) summary(<withVCov.lm>): Add Alternative Variance Estimates to Models Estimates

Groupwise computations and tables of summary statistics

By(): Conditional Evaluation of an Expression

Descriptives(): Vectors of Univariate Sample Statistics

Aggregate() genTable(): Generic Tables and Data Frames of Descriptive Statistics

cbind(<ftable>) rbind(<ftable>) cbind(<ftable_matrix>) rbind(<ftable_matrix>) format(<ftable_matrix>) Write(<ftable_matrix>) print(<ftable_matrix>): Combining flattened tables.

Groups() recombine() as.data.frame(<grouped.data>) as.data.set(<grouped.data.frame>) as.data.set(<grouped.data.set>) with(<grouped.data>) within(<grouped.data>) withGroups() withinGroups(): Operate on grouped data in data frames and data sets

Means() as.data.frame(<means.table>) as.data.frame(<xmeans.table>): Means for groups of observations

percentages() as.data.frame(<percentage.table>) as.data.frame(<xpercentage.table>): Easy Creation of Tables of Percentages

percent(): Table of Percentages with Percentage Base

Table(<atomic>) Table(<factor>) Table(<item.vector>): One-Dimensional Table of Frequences and/or Percentages

Data preparation helpers and convenience functions

cases(): Distinguish between Cases Specified by Logical Conditions

coarsen(): Coarsen a vector into a factor with a lower number of levels

collect(): Collect Objects

contr() contr.treatment() contr.sum() contrasts(<item>) `contrasts<-`(<item>) contrasts(<ANY>) `contrasts<-`(<ANY>): Convenience Methods for Setting Contrasts

contract(): Contract data into pattern-frequency format

dimrename() rowrename() colrename(): Change dimnames, rownames, or colnames

foreach(): Loop over Variables in a Data Frame or Environment

query(): Query an Object for Information

recode(): Recode Items, Factors and Numeric Vectors

rename(): Change Names of a Named Object

reorder(<array>) reorder(<matrix>): Reorder an Array or Matrix

Reshape(): Reshape data frames or data sets

retain(): Retain Objects in an Environment

reversed(): Reverse the codes of a survey item or the levels of a factor

sample(<data.frame>) sample(<data.set>) sample(<importer>): Take a Sample from a Data Frame-like Object

sort(<data.frame>) sort(<data.set>): Convenience Methods to Sort Data Frames and Data Sets

Mean() Median() Min() Max() Weighted.Mean() Var() StdDev() Cov() Cor() Range(): Convenience wrappers for common statistical functions

Syntactic sugar

`%if%`: Assign a values to a variable for instances where a condition is met

`%#%` `%##%` `%@%` `%@%<-`(): Operators for Setting Annotations and Attributes

`%nin%`: Negative Match

`%$%` `%$$%` Within(): Operators to abbreviate use of "with" and "within"

HTML and LaTeX formatting

show_html() write_html() format_html(): Format Objects in HTML, show the HTML Format or Write it to a File

format_html(<ftable>) format_html(<ftable_matrix>): Format "Flattened Tables" as HTML

format_html(<codebook>): Format Codebooks as HTML

format_md(<codebook>) format_md(<codebookEntry>): Format Codebooks as Markdown

html() html_group() as.html_group() content() `content<-`() setContent() attribs() `attribs<-`() setAttribs() css() as.css() style() `style<-`() setStyle(): Building Blocks for HTML Code

toLatex(<default>) toLatex(<matrix>) toLatex(<data.frame>) toLatex(<ftable>) toLatex(<ftable_matrix>): Additional Methods for LaTeX Representations for R objects

Other tools and utilities

applyTemplate(): Apply a Formatting Template to a Numeric or Character Vector

as.array(<data.frame>): Converting Data Frames into Arrays

as.symbols() syms(): Construction of Lists of Symbols

Iconv(): Convert Annotations, and Value Labels between Encodings

List(): Create a list and conveniently supply names to its elements

Sapply() Lapply(): A Dimension Preserving Variant of "sapply" and "lapply"

Substitute(): Substitutions in Language Objects

to.data.frame(): Convert an Array into a Data Frame

named.list item.list named.list-class item.list-class initialize,item.list-method initialize,named.list-method coerce,data.set,named.list-method show,named.list-method atomic-class double-class: Named Lists, Lists of Items, and Atomic Vectors

view() viewPrep(): A Generic Viewing Function

view_html(): HTML Output for 'view.

Write(): Write Codebooks and Variable Descriptions into a Text File

xapply(): Apply a function to ranges of variables

Deprecated

fapply(): Deprecated Functions in Package memisc