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
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)
R: Format a datetime with a formatting string A vector of date, time, or datetime values Several representations are acceptable here including strings, Date objects, or POSIXct objects Refer to the Valid Input Values section for more information
R: Generalized Boosted Regression Modeling (GBM) Details gbm fit provides the link between R and the C++ gbm engine gbm is a front-end to gbm fit that uses the familiar R modeling formulas However, model frame is very slow if there are many predictor variables For power-users with many variables use gbm fit For general practice gbm is preferable This package implements the generalized boosted modeling framework Boosting is the process