We use cookies, including third-party cookies from Google to serve personalized ads through AdSense, to operate this site and understand how it is used. By continuing to browse, you accept this use. See our Privacy Policy and Terms of Use for details, including how to opt out of personalized advertising.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    chatgpt image jul 21, 2026, 04 34 30 pm
    4 Core Benefits of Predictive Maintenance after Vibration Analysis
    10 Min Read
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results -- AI-generated illustration
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results
    11 Min Read
    chatgpt image jul 13, 2026, 04 23 45 pm
    How Data Analytics Helps Companies Improve User Engagement
    19 Min Read
    chatgpt image jul 13, 2026, 03 59 46 pm
    How Data Analytics Improves Multi-Location Search Strategies
    10 Min Read
    cybersecurity efforts
    How Behavioral Analytics and AI Are Redefining Cybersecurity for Boca Raton Businesses
    14 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Guest Post: Inference for R
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > Data Mining > Guest Post: Inference for R
Data MiningPredictive Analytics

Guest Post: Inference for R

SandroSaitta
SandroSaitta
5 Min Read
Guest Post: Inference for R
Illustration generated with Qwen Image.
SHARE

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.

More Read

Can Big Data Analytics Fight Poaching?
Can Big Data Analytics Fight Poaching?
Data Mining to Raise Questions
Denial of access
How To Use Big Data To Deliver Optimized Customer Experiences
Black Swans Causing a Rethink on Global Supply Chains?
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.

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

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

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

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.

Link to original post

TAGGED:r
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

The Information Governance Practices That High-Demand Social Work Roles Require -- AI-generated illustration
The Information Governance Practices That High-Demand Social Work Roles Require
Data Management Exclusive Policy and Governance Security
8 MCP Tools for Market and Consumer Intelligence Workflows -- AI-generated illustration
8 MCP Tools for Market and Consumer Intelligence Workflows
Artificial Intelligence Exclusive
How Local Service Businesses Can Map Which Neighborhoods Generate the Most Revenue -- AI-generated illustration
How Local Service Businesses Can Map Which Neighborhoods Generate the Most Revenue
Business Intelligence
Best VMware Alternatives in Thailand for Private Cloud and HCI Deployments -- AI-generated illustration
Best VMware Alternatives in Thailand for Private Cloud and HCI Deployments
Cloud Computing Exclusive IT

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

How to make a progress bar in R
Data MiningPredictive Analytics

How to make a progress bar in R

2 Min Read
Visualizing droughts with R
Data Visualization

Visualizing droughts with R

2 Min Read
Why Learn R? It's the language of Statistics
Uncategorized

Why Learn R? It’s the language of Statistics

3 Min Read
Interview with Anne Milley, SAS II
Data MiningPredictive Analytics

Interview with Anne Milley, SAS II

10 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive
ai chatbot
How AI Website Chatbots Improve Customer Support and Lead Generation
Chatbots Exclusive

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-26 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?