copy and paste this google map to your website or blog!
Press copy button and paste into your blog or website.
(Please switch to 'HTML' mode when posting into your blog. Examples: WordPress Example, Blogger Example)
Input Form:Deal with this potential dealer,buyer,seller,supplier,manufacturer,exporter,importer
(Any information to deal,buy, sell, quote for products or service)
The R Project for Statistical Computing To download R, please choose your preferred CRAN mirror If you have questions about R like how to download and install the software, or what the license terms are, please read our answers to frequently asked questions before you send an email
The Comprehensive R Archive Network R is ‘GNU S’, a freely available language and environment for statistical computing and graphics which provides a wide variety of statistical and graphical techniques: linear and nonlinear modelling, statistical tests, time series analysis, classification, clustering, etc
An Introduction to R This is an introduction to R (“GNU S”), a language and environment for statistical computing and graphics R is similar to the award-winning 1 S system, which was developed at Bell Laboratories by John Chambers et al
useR! 2025 useR! 2025 brings together R users, developers, and enthusiasts from around the world for three days of tutorials, presentations, and networking The conference is aimed at beginners as well as experienced users
Help for package mice - The Comprehensive R Archive Network Combine R objects by rows and columns Description Functions cbind() and rbind() are defined in the mice package in order to enable dispatch to cbind mids() and rbind mids() when one of the arguments is a data frame Usage cbind( ) rbind( ) Arguments Details
R benchmarks The examples of CRAN packages, in particular MASS, are often used as a simple benchmark, because they consist of real problems and thus can cover at least some part of real use of R
Help for package mgcv - The Comprehensive R Archive Network For simplicity let r and off denote a single column and element corresponding to each other: then r [off [j]: (off [j+1]-1)] contains the rows of the full matrix corresponding to row j of the stored matrix The reverse indices are essential for efficient computation with sparse matrices
Help for package car - The Comprehensive R Archive Network For 2D C+R plots, the fit is represented by a broken blue line and a smooth of the partial residuals by a solid magenta line For 3D C+R plots, the fit is represented by a blue surface and a smooth of the partial residuals by a magenta surface