GHaranczyk Przewodnik po pakiecie R.pdf

StatSoft White Paper

Integration Options and Features

to Leverage Specialized R Functionality

in STATISTICA and WebSTATISTICA Solutions

Contents at a Glance

Overview and Summary ............................................................................................................................. 3

Basic Architecture and Features of R Support in STATISTICA .................................................................. 7

R Language Extensions: Passing Data to R and Retrieving Results ........................................................ 12

Executing R Scripts from within STATISTICA Visual Basic .................................................................... 16

R Support in WebSTATISTICA ................................................................................................................. 20

Creating R-based STATISTICA Data Miner Nodes.................................................................................. 23

Integrating R into (Web)STATISTICA Enterprise ..................................................................................... 24

Final Comments, and Some Caveats ........................................................................................................ 27

For more information, see www.StatSoft.com

Integration of R statistical environment with STATISTICA solutions

July, 2008

StatSoft White Paper

Page 2 of 27

Table of Contents

Overview and Summary ............................................................................................................................. 3

Basic Architecture and Features of R Support in STATISTICA .................................................................. 7

COM Interface to R Environment .......................................................................................................... 8

R Integration Support Macro (R.svb) ..................................................................................................... 8

R Scripts as Native STATISTICA Macros............................................................................................... 8

Retrieving Results................................................................................................................................. 10

R Language Extensions: Passing Data to R and Retrieving Results ........................................................ 12

ActiveDataSet ............................................................................................................................... 12

Spreadsheet (FilePathOrName) ............................................................................................. 12

RouteOutput (RObject,[SpreadsheetName],[SpreadsheetHeader]) .................. 13

Uses (RPackageName,[AttachImports]) ............................................................................ 15

Executing R Scripts from within STATISTICA Visual Basic .................................................................... 16

R Scripts are STATISTICA Macros ....................................................................................................... 16

Passing Parameters to R Scripts: Collection Object...................................................................... 17

Managing Script Results ....................................................................................................................... 19

More Examples ..................................................................................................................................... 19

R Support in WebSTATISTICA ................................................................................................................. 20

WebSTATISTICA is a Powerful R Server ............................................................................................. 21

Off-Loading R Scripts from STATISTICA to WebSTATISTICA ........................................................... 21

Creating R-based STATISTICA Data Miner Nodes.................................................................................. 23

Integrating R into (Web)STATISTICA Enterprise ..................................................................................... 24

Creating R-based Analysis Configurations........................................................................................... 24

Calling R Scripts from SVB Analysis Configurations ......................................................................... 26

Summary ............................................................................................................................................... 26

Final Comments, and Some Caveats ........................................................................................................ 27

Error Handling ...................................................................................................................................... 27

Strengths and Limitations ..................................................................................................................... 27

Integration of R statistical environment with STATISTICA solutions

July, 2008

StatSoft White Paper

Page 3 of 27

Overview and Summary

R is a programming language and environment for statistical computing ( http://www.r-project.org ).

The R environment and its source code are freely available under the GNU GPL license; precompiled

binaries exist for Microsoft Windows, Unix and Mac OS platforms. R uses a command line interface,

but several graphical user interfaces are also available.

R is highly extensible: users can submit libraries ("packages") implementing a set of functions, usually

for a specific area of their expertise/research. R community maintains several centralized repositories

that make hundreds of such packages readily available to all users over the Internet. Many of these

packages cater specifically to highly specialized audiences with particular data analysis needs.

The goal of this document is to provide a detailed description of new features that make the diversity

and power of R fully available to users of all Stat S o ft Solutions. Furthermore, these features allow

users to combine the unique capabilities of both STATISTICA and R platforms.

Starting with STATISTICA Version 8 MR3:

• Native R scripts can be run directly within STATISTICA , WebSTATISTICA , STATISTICA Enterprise

• R output can be retrieved as native STATISTICA spreadsheets and graphs, and managed via highly

flexible STATISTICA Workbook containers

Integration of R statistical environment with STATISTICA solutions

July, 2008

StatSoft White Paper

Page 4 of 27

Thus, enterprises can now use the specialized routines and capabilities of R with STATISTICA ,

STATISTICA Enterprise and WebSTATISTICA servers to:

• Add new R-based “modules”

• Leverage STATISTICA's superior graphics, flexible Spreadsheets, and convenient Workbook

containers for various document types to handle output from R

Integration of R statistical environment with STATISTICA solutions

July, 2008

StatSoft White Paper

Page 5 of 27

• Integrate R into STATISTICA Enterprise to make specialized R functionality available as

reusable analysis templates to users not familiar with the R language, in a secure, role-based

enterprise analysis system

• Add R-based analytic nodes to STATISTICA Data Miner , thus leveraging all R capabilities inside

(Web)STATISTICA Data Miner Workspaces

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