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SmartData Collective > Big Data > Data Mining > Guest Post: Inference for R
Data MiningPredictive Analytics

Guest Post: Inference for R

SandroSaitta
Last updated: 2009/04/26 at 1:28 PM
SandroSaitta
5 Min Read
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Today, I would like to welcome Ben Hinchliffe as a guest blogger on Data Mining Research. Ben is working at Blue Reference, Inc. and has kindly accepted to write a post about a very interesting tool for R: Inference for R.

As noted throughout this blog, the benefits of R are extensive; owing to its overall extensibility, ease of code development, a large and growing library of statistical software packages, and it’s rapidly increasing use in technical communities. Thus, it is not surprising R is quickly becoming a standard in both academia and industry. In this regard, I am excited to share a new application for R users, called Inference for R.

Inference for R is the first integrated development environment (IDE) designed specifically for R. It helps to reduce time spent on editing R code, managing data, and publishing reports. Inference for R also reduces the effort required to piece together data-analysis parts into a cohesive solution, which in turn reduces the time needed to learn R.

user-friendly-environment-for-developing-r-code

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User-friendly environment for developing R code

An intelligent editor and debugging environment provides instant feedback on syntax and design errors while code is being written.

r-code-debugging-with-edit-and-continue

Simple R code debuggi…

Today, I would like to welcome Ben Hinchliffe as a guest blogger on Data Mining Research. Ben is working at Blue Reference, Inc. and has kindly accepted to write a post about a very interesting tool for R: Inference for R.

As noted throughout this blog, the benefits of R are extensive; owing to its overall extensibility, ease of code development, a large and growing library of statistical software packages, and it’s rapidly increasing use in technical communities. Thus, it is not surprising R is quickly becoming a standard in both academia and industry. In this regard, I am excited to share a new application for R users, called Inference for R.

Inference for R is the first integrated development environment (IDE) designed specifically for R. It helps to reduce time spent on editing R code, managing data, and publishing reports. Inference for R also reduces the effort required to piece together data-analysis parts into a cohesive solution, which in turn reduces the time needed to learn R.

user-friendly-environment-for-developing-r-code

User-friendly environment for developing R code

An intelligent editor and debugging environment provides instant feedback on syntax and design errors while code is being written.

r-code-debugging-with-edit-and-continue

Simple R code debugging with Edit-and-Continue

For publishing, Inference for R converts static Microsoft Word documents, into dynamic documents containing your data, R objects, R code, and text annotations (commentary).

embed-r-code-r-source-and-r-data-files-directly-into-word-documents-2

Embed R code, R-Source and R-Data files directly into Word documents

When executed, Inference runs your R code and generates a Results Document that contains the textual, numerical and graphical output of your scripting commands, in addition to formatted text annotations.

execute-your-r-code-to-create-a-results-document-in-your-choice-of-formats

Execute your R code to create a Results Document in your choice of formats

With Inference, you can write scripts in R to automate repetitive tasks involving data access, collection, preparation, analysis and reporting with one-button convenience. Similar functionality is available for Excel, and is in the works for PowerPoint.

combine-r-code-and-spreadsheet-inputs-and-outputs-in-familiar-excel-environment

Combine R code and spreadsheet inputs and outputs in familiar Excel environment

As an example, Inference enables you to turn an Excel or Word document into a simple GUI for your R application. This allows non-technical users, with only MS Office knowledge, to easily analyze your data and present your data mining results, without any proficiency in R. At the end of the day, any user of Excel and Word can now access the power of R!

The applicability of Inference for R is vast, providing scientists, software programmers, and non-technical MS Office users a time-saving and simple application for reducing and analyzing data in a reproducible fashion, and generating professional quality technical documents. View a three minute overview and download a free trial at http://www.InferenceForR.com.

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TAGGED: r
SandroSaitta April 26, 2009
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