R Graphical Manual

Last data update: 2014.03.03

Data Source

R Release (3.2.3)
CranContrib
BioConductor
All

Data Type

Packages
Functions
Images
Data set

Classification

Results 1 - 10 of 53 found.
[1] < 1 2 3 4 5 6 > [6] Sort:

as.array (Package: memisc) : Converting Data Frames into Arrays

The as.array for data frames takes all factors in a data frame and uses them to define the dimensions of the resulting array, and fills the array with the values of the remaining numeric variables.

● Data Source: CranContrib
● Keywords:
● Alias: as.array, as.array,data.frame-method
● 0 images

percent (Package: memisc) : Table of Percentages with Percentage Base

percent returns a table of percentages along with the percentage base. It will be useful in conjunction with Aggregate or genTable.

● Data Source: CranContrib
● Keywords: univar
● Alias: percent, percent.default, percent.logical
● 0 images

Utility classes (Package: memisc) : Named Lists, Lists of Items, and Atomic Vectors

The classes "named.list" and "item.list" are merely some 'helper classes' for the construction of the classes "data.set" and "importer".

● Data Source: CranContrib
● Keywords:
● Alias: atomic-class, coerce,data.set,named.list-method, double-class, initialize,item.list-method, initialize,named.list-method, item.list, item.list-class, named.list, named.list-class, show,named.list-method
● 0 images

reorder.array (Package: memisc) : Reorder an Array or Matrix

reorder.array reorders an array along a specified dimension according given names, indices or results of a function applied.

● Data Source: CranContrib
● Keywords: manip
● Alias: reorder, reorder.array, reorder.matrix
● 0 images

items (Package: memisc) : Survey Items

Objects of class item are data vectors with additional information attached to them like “value labels” and “user-defined missing values” known from software packages like SPSS or Stata.

● Data Source: CranContrib
● Keywords: manip
● Alias: Arith,numeric,numeric.item-method, Arith,numeric.item,numeric-method, Arith,numeric.item,numeric.item-method, Compare,character,numeric.item-method, Compare,numeric.item,character-method, Date.item-class, Math,numeric.item-method, Math2,numeric.item-method, Summary,numeric.item-method, [,item.vector,logical,missing,missing-method, [,item.vector,numeric,missing,missing-method, %in%,numeric.item,character-method, as.character,Date.item-method, as.character,datetime.item-method, as.character,item.vector-method, as.data.frame.character.item, as.data.frame.double.item, as.data.frame.integer.item, as.factor,item.vector-method, as.integer,item-method, as.item, as.item,Date-method, as.item,Date.item-method, as.item,POSIXct-method, as.item,character-method, as.item,character.item-method, as.item,datetime.item-method, as.item,double.item-method, as.item,factor-method, as.item,integer.item-method, as.item,logical-method, as.item,numeric-method, as.item,ordered-method, as.numeric,item-method, as.ordered,item.vector-method, as.vector,item-method, character.item-class, datetime.item-class, double.item-class, format,Date.item-method, format,datetime.item-method, format,item.vector-method, integer.item-class, item, item-class, item.vector-class, items, numeric.item-class, print,Date.item-method, print,datetime.item-method, print,item.vector-method, rep,item.vector-method, show,Date.item-method, show,datetime.item-method, show,item.vector-method, str.character.item, str.datetime.item, str.double.item, str.integer.item, summary,Date.item-method, summary,datetime.item-method, summary,item.vector-method, unique,item.vector-method, weighted.mean,item.vector-method
● 0 images

sample-methods (Package: memisc) : Take a Sample from a Data Frame-like Object

The methods below are convenience short-cuts to take samples from data frames and data sets. They result in a data frame or data set, respectively, the rows of which are a sample of the complete data frame/data set.

● Data Source: CranContrib
● Keywords:
● Alias: sample,data.frame-method, sample,data.set-method, sample,importer-method
● 0 images

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

foreach evaluates an expression given as second argument by substituting in variables. The expression may also contain assignments, which take effect in the callers environment.

● Data Source: CranContrib
● Keywords: programming
● Alias: foreach
● 0 images

wild.codes (Package: memisc) :

The function wild.codes creates a table of frequencies of those codes of an item that do not have labelled attached to them. This way, it helps to identify coding errors.

● Data Source: CranContrib
● Keywords:
● Alias: wild.codes, wild.codes,item-method
● 0 images

codebook (Package: memisc) : Generate a Codebook of a Data Set

Function codebook collects documentation about an item, or the items in a data set or external data file. It returns an object that, when shown, print this documentation in a nicely formatted way.

● Data Source: CranContrib
● Keywords: manip
● Alias: as.character,codebook-method, codebook, codebook,atomic-method, codebook,data.frame-method, codebook,data.set-method, codebook,factor-method, codebook,importer-method, codebook,item-method, codebook-class, format,codebookEntry-method, show,codebook-method
● 0 images

getSummary (Package: memisc) : Get Model Summaries for Use with "mtable"

A generic function and methods to collect coefficients and summary statistics from a model object. It is used in mtable

● Data Source: CranContrib
● Keywords: misc, utilities
● Alias: getSummary, getSummary.aftreg, getSummary.betareg, getSummary.clm, getSummary.coxph, getSummary.glm, getSummary.hurdle, getSummary.ivreg, getSummary.lm, getSummary.mer, getSummary.merMod, getSummary.multinom, getSummary.phreg, getSummary.polr, getSummary.simex, getSummary.survreg, getSummary.tobit, getSummary.weibreg, getSummary.zeroinfl, getSummary_expcoef, getSummary_expcoef.glm
● 0 images