Software for Data Analysis: Programming with R. Springer, New York, 2009.J.M. Chambers. Software for Data Analysis: Programming with R. Springer, New York, 2008. ISBN 978-0-387-75935-7.J.M. Chambers, Software for Data Analysis: Programming with R, Springer, New York, 2009....
Additional Information How to Cite (2009), Software for Data Analysis: Programming with R by CHAMBERS, J. M. Biometrics, 65: 1313. doi: 10.1111/j.1541-0420.2009.01343_10.x Publication History Issue published online: 23 NOV 2009 Article first published online: 23 NOV 2009...
The open-source Java software framework JStatCom is presented which supports the development of rich desktop clients for data analysis in a rather general way. The concept is to solve all recurring tasks with the help of reusable components and to enable rapid application development by adopting a...
is the data analysis and graphing software of choice for over a million scientists and engineers in commercial industries, academia, and government laboratories worldwide. Origin offers an easy-to-use interface for beginners, combined with the ability to perform advanced customization as you become mo...
This program is also capable of data mining and statistical modeling. This makes data analysis even easier. Predictive models can help with forecasting and estimation of risks and rewards for various marketing campaigns. Their models all take their basis in statistical algorithms. They choose the rel...
Excellent data visualization Intuitive drag-and-drop interface Can be expensive for small teams Steeper learning curve for advanced features Data visualization Exploring large datasets R Robust statistical analysis capabilities Large community support Steeper learning curve Less intuitive than some alternati...
[17] Jiang Z M, Bai J J, Lu K, et al. Context-Sensitive and Directional Concurrency Fuzzing for Data-Race Detection[J]. 2022. [18] Seward J, Nethercote N. Using Valgrind to Detect Undefined Value Errors with Bit-Precision[C]//USENIX Annual Technical Conference, General Track. 2005: 17...
large general-purposedatabase management systemsthat are highly reliable, high performing, and highly secure; and middleware that supportsnetwork servicesshould be the focus for development. Closely integrating basic software such as operating systems with CPU design is conducive to integrated software deve...
The Lean Software & Systems community uses statistical methods such as statistical process control charts and spectral analysis histograms of raw data for lead time and velocity to understand system capability. They also use models such as: the Theory of Constraints to understand bottlenecks; The ...
select article svm_friction: A Python based software for calculating, data analysis and modeling the coefficient of friction of aluminum metal matrix composites using support vector regression Software publicationOpen access svm_friction: A Python based software for calculating, data analysis and modeling...