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
Previous Releases of R for Windows This directory contains previous binary releases of R for Windows The current release, and links to development snapshots, are available here Source code for these releases and others is available through the main CRAN page In this directory:
R: A Language and Environment for Statistical Computing Permission is granted to copy and distribute translations of this manual into another language, under the above conditions for modified versions, except that this permission notice may be stated in a translation approved by the R Core Team R is free software and comes with ABSOLUTELY NO WARRANTY
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
Help for package mgcv - The Comprehensive R Archive Network Find rank of upper triangular matrix Description Finds rank of upper triangular matrix R, by estimating condition number of upper rank by rank block, and reducing rank until this is acceptably low Assumes R has been computed by a method that uses pivoting, usually pivoted QR or Choleski
R-Forge: ESTIMATE: R Development Page In order to successfully install the packages provided on R-Forge, you have to switch to the most recent version of R or, alternatively, install from the package sources ( tar gz)
Help for package bnlearn - The Comprehensive R Archive Network If the n is very large (e g 10^12), R would run out of memory if it tried to generate them all at once Instead random samples are generated in batches of size batch, discarding each batch before generating the next