Manual pages¶

Memisc: Introduction to the ‘memisc’ Package
By: Conditional Evaluation of an Expression
Descriptives: Vectors of Univariate Sample Statistics
foreach: Loop over Variables in a Data Frame or Environment
Groups: Operate on grouped data in data frames and data sets
Iconv: Convert Annotations, and Value Labels between Encodings
List: Create a list and conveniently supply names to its elements
Reshape: Reshape data frames or data sets
Sapply: A Dimension Preserving Variant of “sapply” and “lapply”
Substitute: Substitutions in Language Objects
Table: One-Dimensional Table of Frequences and/or Percentages
Write: Write Codebooks and Variable Descriptions into a Text File
annotations: Adding Annotations to Objects
applyTemplate: Apply a Formatting Template to a Numeric or Character Vector
as.array: Converting Data Frames into Arrays
as.symbols: Construction of Lists of Symbols
cases: Distinguish between Cases Specified by Logical Conditions
codebook: Generate a Codebook of a Data Set
codeplan: Describe structure of Data Sets and Importers
collect: Collect Objects
contr: Convenience Methods for Setting Contrasts
data.set: Data Set Objects
data.set manipulation: Manipulation of Data Sets
deduplicate_labels: Handle duplicated labels
dimrename: Change dimnames, rownames, or colnames
duplicated_labels: Check for and report duplicated labels
format_html: Format Objects in HTML, show the HTML Format or Write it to a File
format_html.codebook: Format Codebooks as HTML
format_html.ftable: Format “Flattened Tables” as HTML
ftable-matrix: Combining flattened tables.
genTable: Generic Tables and Data Frames of Descriptive Statistics
getSummary: Get Model Summaries for Use with “mtable”
html: Building Blocks for HTML Code
importers: Object Oriented Interface to Foreign Files
items: Survey Items
items-to-vectors: How Survey Items Are Converted into “Ordinary” Data Vectors
labels: Value Labels
measurement: Levels of Measurement of Survey Items
memisc-deprecated: Deprecated Functions in Package memisc
mtable: Comparative Table of Model Estimates
mtable_format_delim: Format for ‘mtable’ Objects for Writing into File
mtable_format_html: HTML Formatting for ‘mtable’ Results
mtable_format_latex: Format ‘mtable’ Results for LaTeX
mtable_format_print: Print Format for ‘mtable’ Objects
negative match: Negative Match
percent: Table of Percentages with Percentage Base
percentages: Easy Creation of Tables of Percentages
query: Query an Object for Information
recode: Recode Items, Factors and Numeric Vectors
relabel: Change labels of factors or labelled objects
rename: Change Names of a Named Object
reorder.array: Reorder an Array or Matrix
retain: Retain Objects in an Environment
sample-methods: Take a Sample from a Data Frame-like Object
sort-methods: Convenience Methods to Sort Data Frames and Data Sets
Mean: Convenience wrappers for common statistical functions
styles: Formatting Styles for Coefficients, Factor Contrasts, and Summary Statistics
syntactic-shugar: Syntactic Sugar for Setting Annotations and Attributes
tibbles: Interface to Packages ‘tibble’ and ‘haven’
to.data.frame: Convert an Array into a Data Frame
toLatex: Additional Methods for LaTeX Representations for R objects
Utility classes: Named Lists, Lists of Items, and Atomic Vectors
value.filter: Value Filters
view: A Generic Viewing Function
view_html: HTML Output for ‘view.
wild.codes: Table of frequencies for unlabelled codes
withSE: Add Alternative Variance Estimates to Models Estimates