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Odds Ratios in Generalized Linear/Nonlinear (GLZ) Models

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STATISTICA Solutions using the R Language Platform

R language statisticsR is a programming language and environment for statistical computing. The R platform and its source code are freely available under the GNU GPL license (see http://cran.r-project.org).

Overview

You want to use some R features, however the R platform doesn't entirely meet your needs. STATISTICA Integration with R has solutions to the following concerns:

  • R tabular results are cumbersome to manipulate; R graphs cannot be modified; output is difficult to manage.
  • I want to combine an R function with custom programming.
  • I need a specialized R data mining algorithm that is not available in any commercial software package.
  • My company needs to run reports based on R scripts, but my users don't know how to use R.
  • My company needs to run a high volume of data-intensive analyses using R algorithms, but the R program is too slow.

For additional information, see the following white papers:

  • R Integration Overview
  • R Integration Technical White Paper

Sample Applications

R tabular results are cumbersome to manipulate; R graphs cannot be modified; output is difficult to manage.

With all STATISTICA products, including STATISTICA (desktop), you can:

  • Run R programs (or "scripts") to produce output as STATISTICA spreadsheets and graphs, which can be managed in STATISTICA workbooks and/or saved in STATISTICA reports.

I want to combine an R function with custom programming.

With all STATISTICA products, including STATISTICA (desktop), you can:

  • Build functions that are entirely (or partially) based on R by using STATISTICA Visual Basic (SVB).

I need a specialized R data mining algorithm that is not available in any commercial software package.

With STATISTICA Data Miner, you can:

  • Create a data miner workspace where you can build and maintain models with R-based nodes.

 

My company needs to run reports based on R scripts, but my users don't know how to use R.

With STATISTICA Enterprise, you can:

  •  Generate automated reports from reusable R-based analysis configurations, which deliver the power of R to users not familiar with R.

My company needs to run a high volume of data-intensive analyses using R algorithms, but the R program is too slow.

With WebSTATISTICA Server, you can:

  • Off-load R scripts (as well as SVB scripts, Data Miner workspaces, etc.), creating a powerful multi-processor multi-user R server with load balancing, batch-job capabilities (scheduling), and more.

 

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