Philippe Grosjean

Philippe Grosjean

22 packages on CRAN

tcltk2

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A series of additional Tcl commands and Tk widgets with style and various functions (under Windows: DDE exchange, access to the registry and icon manipulation) to supplement the tcltk package

pastecs

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Regularisation, decomposition and analysis of space-time series. The pastecs R package is a PNEC-Art4 and IFREMER (Benoit Beliaeff <Benoit.Beliaeff@ifremer.fr>) initiative to bring PASSTEC 2000 functionalities to R.

svMisc

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Miscellaneous functions for SciViews or general use: manage a temporary environment attached to the search path for temporary variables you do not want to save() or load(), test if Aqua, Mac, Win, ... Show progress bar, etc.

svUnit

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A complete unit test system and functions to implement its GUI part

SciViews

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Functions to install SciViews additions to R, and more tools.

svSocket

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Implements a simple socket server allowing to connect GUI clients to R

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Reimplementation of the svDialogs dialog boxes in Tcl/Tk

svTools

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Set of tools aimed at wrapping some of the functionalities of the packages tools, utils and codetools into a nicer format so that an IDE can use them.

svWidgets

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High level management of widgets, windows and other graphical resources.

zooimage

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A free (open source) solution for analyzing digital images of plankton. In combination with ImageJ, a free image analysis system, it processes digital images, measures individuals, trains for automatic classification of taxa, and finally, measures plankton samples (abundances, total and partial size spectra or biomasses, etc.).

svSweave

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Supporting functions for the GUI API (Sweave functions)

svDialogs

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Rapidly construct standard dialog boxes for your GUI, including message boxes, input boxes, list, file or directory selection, ... In case R cannot display GUI dialog boxes, a simpler command line version of these interactive elements is also provided as fallback solution.

svGUI

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The SciViews svGUI package eases the management of Graphical User Interfaces (GUI) in R. It is independent from any particular GUI widgets (Tk, Gtk2, native, ...). It centralizes info about GUI elements currently used, and it dispatches GUI calls to the particular toolkits in use in function of the context (is R run at the terminal, within a Tk application, a HTML page?).

svKomodo

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Functions to manage the GUI client, like Komodo with the SciViews-K extension

svHttp

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Implements a simple HTTP server allowing to connect GUI clients to R

svIDE

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Function for the GUI API to interact with external IDE/code editors.

quantreg

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Estimation and inference methods for models of conditional quantiles: Linear and nonlinear parametric and non-parametric (total variation penalized) models for conditional quantiles of a univariate response and several methods for handling censored survival data. Portfolio selection methods based on expected shortfall risk are also included.

sfsmisc

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Useful utilities ['goodies'] from Seminar fuer Statistik ETH Zurich, some of which were ported from S-plus in the 1990's. For graphics, have pretty (Log-scale) axes, an enhanced Tukey-Anscombe plot, combining histogram and boxplot, 2d-residual plots, a 'tachoPlot()', pretty arrows, etc. For robustness, have a robust F test and robust range(). For system support, notably on Linux, provides 'Sys.*()' functions with more access to system and CPU information. Finally, miscellaneous utilities such as simple efficient prime numbers, integer codes, Duplicated(), toLatex.numeric() and is.whole().

Rcmdr

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A platform-independent basic-statistics GUI (graphical user interface) for R, based on the tcltk package.

gWidgets

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Provides a toolkit-independent API for building interactive GUIs. At least one of the 'gWidgetsXXX packages', such as gWidgetstcltk, needs to be installed. Some icons are on loan from the scigraphica project <http://scigraphica.sourceforge.net>.

prettyR

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Functions for conventionally formatting descriptive stats, reshaping data frames and formatting R output as HTML.

inlinedocs

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Generates Rd files from R source code with comments. The main features of the default syntax are that (1) docs are defined in comments near the relevant code, (2) function argument names are not repeated in comments, and (3) examples are defined in R code, not comments. It is also easy to define a new syntax.