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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

AM is a powerful statistical software tool designed specifically for the analysis of data derived from complex samples, particularly for large-scale assessments. With its intuitive drag-and-drop interface, AM combines advanced statistical techniques with user-friendly features, including an integrated help system that guides users through the statistical processes and software navigation. We have prioritized making the installation process straightforward and the software itself easy to operate, though users may still encounter questions or challenges, which this resource aims to address. Currently, AM is in its Beta phase, and the latest Beta Version 0.06.00 introduces significant enhancements to its functionality. For the first time, users can generate statistical graphics, such as bar charts, line charts, and the innovative Sectioned Density Plot, which facilitates the comparison of distributions and represents an evolution from the traditional box-and-whisker plot. We are excited for future updates that will further enrich the graphic capabilities of the software, making it even more versatile for users. This continued development underscores our commitment to providing a robust analytical tool that evolves with user needs.

Description

R is a comprehensive environment and programming language tailored for statistical analysis and graphical representation. As a part of the GNU project, it shares similarities with the S language, which was originally designed by John Chambers and his team at Bell Laboratories, now known as Lucent Technologies. Essentially, R serves as an alternative implementation of S, and while there are notable distinctions between the two, a significant amount of S code can be executed in R without modification. This versatile language offers a broad spectrum of statistical methods, including both linear and nonlinear modeling, classical statistical tests, time-series analytics, classification, and clustering, among others, and it boasts a high level of extensibility. The S language is frequently utilized in research focused on statistical methodologies, and R presents an Open Source avenue for engaging in this field. Moreover, one of R's key advantages lies in its capability to generate high-quality publication-ready graphics, facilitating the inclusion of mathematical symbols and formulas as needed, which enhances its usability for researchers and analysts alike. Ultimately, R continues to be a powerful tool for those seeking to explore and visualize data effectively.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

AuroraPrime
BLACKBOX AI
Baichuan-13B
Claude Opus 4.1
Devin
GPT-5.1-Codex
Gemini 2.5 Pro Preview (I/O Edition)
Gemini 3 Flash
Gemini 3.1 Pro
Gemma 3
Gurobi Optimizer
JupyterLab
Llama 3.2
Meteomatics
Qwen
Qwen2.5-Coder
Sublime Text
Superwise
ggplot2

Integrations

AuroraPrime
BLACKBOX AI
Baichuan-13B
Claude Opus 4.1
Devin
GPT-5.1-Codex
Gemini 2.5 Pro Preview (I/O Edition)
Gemini 3 Flash
Gemini 3.1 Pro
Gemma 3
Gurobi Optimizer
JupyterLab
Llama 3.2
Meteomatics
Qwen
Qwen2.5-Coder
Sublime Text
Superwise
ggplot2

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

Free
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

American Institutes for Research

Country

United States

Website

am.air.org

Vendor Details

Company Name

The R Foundation

Website

www.r-project.org

Product Features

Statistical Analysis

Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization

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