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What is XLfit?

XLfit® is an innovative add-in for Microsoft® Excel, tailored for Windows users, which seamlessly incorporates advanced mathematical and statistical analysis within the well-known Excel interface, all while offering powerful charting capabilities. Esteemed as a leading tool for statistical analysis and curve fitting, XLfit is relied upon by prominent organizations in the pharmaceutical, chemical, and engineering industries, as well as in academic research, and has received validation from the National Physical Laboratory (NPL). The software provides access to an extensive library of more than 70 pre-defined models that cater to both linear and nonlinear curve fitting, addressing the experimental demands of drug discovery and similar sectors. Beyond the standard offerings, XLfit also supports the inclusion of an infinite number of custom user-defined models, allowing for even greater flexibility. It features advanced capabilities such as linear and nonlinear modeling along with interactive charting in both 2D and 3D, making it an indispensable tool for scientists. Furthermore, XLfit's wide-ranging tools enable researchers to efficiently analyze, visualize, and interpret their data, enhancing their scientific endeavors. With its user-friendly design and extensive functionalities, XLfit stands as a vital asset for anyone engaged in complex data analysis.

What is R?

R is a robust programming language and environment specifically designed for statistical analysis and data visualization. Originating from the GNU project, it has a close relationship with the S language, which was developed by John Chambers and his team at Bell Laboratories, now recognized as Lucent Technologies. In essence, R represents an alternative version of S, and although there are some significant differences, a considerable portion of S scripts can run in R without requiring any adjustments. This dynamic language encompasses a wide array of statistical techniques, ranging from both linear and nonlinear modeling to classical hypothesis tests, time-series analysis, classification, and clustering, while also offering extensive extensibility. The S language often finds application in research focused on statistical techniques, and R provides an open-source platform for those interested in this discipline. Additionally, one of R's standout features is its ability to produce high-quality graphics suitable for publication, seamlessly integrating mathematical symbols and formulas when necessary, which significantly enhances its appeal for researchers and analysts. Furthermore, R’s active community continuously contributes to its development, ensuring that users have access to the latest tools and libraries for their analytical needs. Ultimately, R remains a vital resource for anyone aiming to delve into data exploration and visualization.

Media

Media

Integrations Supported

Integrations Supported

Baichuan-13B
Bioconductor
Buffer Editor
Claude Fable 5.1
Diom
ERNIE 4.5
Falcon-7B
GLM-5.3
GPT-6.2 Astra
Gemini 2.5 Pro Preview (I/O Edition)
Gemini Code Assist
Gurobi Optimizer
Mixtral 8x22B
OpenAI Bel
OpenAI o1-pro
Rapid Analytics Platform
Raven
SAS Life Science Analytics Framework
Snipplr
Visplore

API Availability

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Free
Free Version

Supported Platforms

Windows

Supported Platforms

SaaS
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

IDBS

Date Founded

1989

Company Location

United Kingdom

Company Website

www.idbs.com/xlfit/

Company Facts

Organization Name

The R Foundation

Company Website

www.r-project.org

Categories and Features

Statistical Analysis

Analytics
Association Discovery
Compliance Tracking
File Storage
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Visualization

Categories and Features

Programming Languages

Not specified

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