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splus2R (version 1.1-2)

Supplemental S-PLUS functionality in R

Description

Currently there are many functions in S-PLUS that are missing in R. To facilitate the conversion of S-PLUS packages to R packages, this package provides some missing S-PLUS functionality in R.

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Version

Install

install.packages('splus2R')

Monthly Downloads

8,254

Version

1.1-2

License

GPL-2

Maintainer

ORPHANED

Last Published

September 21st, 2012

Functions in splus2R (1.1-2)

is.missing

Check for missing values
oldUnclass

Class conversion
stdev

Standard deviation
is.inf

Infinite
seriesData

Access Data Of series Objects
subscript2d

Uniform Rectangular Data Subscripting Function
is.number

Check Values
numCols

Object dimensions
seriesDataNew

Creates template for new seriesData object
positions

Positions of signalSeries objects
asSeriesData

Convert to a seriesData
numericSequence

Constructor for numericSequence Class
anyMissing

Returns TRUE if missing values are round, otherwise FALSE
seriesDataValid

Validates the structure of seriesData object
is.orderable

If a value can be ordered
do.test

Test Functions and Expressions - for automated testing
isNumericAtomicVector

Tests whether an object is a vector or not
colIds

Column and row summary function
is.rectangular

Checks for object rectangularity
ifelse1

Conditional Data Selection
allTrue

Test whether all expressions return TRUE
nDotArgs

Determine Number of Arguments to Function
numericSequence-methods

Methods for class signalSeries in package splus2R
as.rectangular

Covnert to rectangular object
MC

Make Closure for functions
bits.per.integer

Internal Size of an integer
vecnorm

p-norm of a vector
deparseText

Deparses input argument
showStructure

Describe the structure of an object
rmvnorm

Multivariate Normal (Gaussian) Distribution
signalSeries

Constructor function for the signalSeries class
signalSeries-methods

Methods for class signalSeries in package splus2R
peaks

Local maxima
lowerCase

Case conversion
expectStop

Test whether expected stop() or warning() messages are produced.
which.na

Determine Which Values are Missing Values