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原产地美国
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适用平台Windows
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In the world of increasing use of open-sourced statistical platforms like R, some might wonder if there is a need for proprietary stats programs. Despite this trend, I find myself still going back to PC-ORD, even though I also use R, Python and other scripting platforms. The reason I keep using PC-ORD is simple: PC-ORD is clearly superior to trying to code the same functionality in R or other popular open-source analytical platforms. Another reason I keep using PC-ORD is the great documentation that is almost like a course in multivariate stats built in to the software. You can find answers to many of the common questions or even detailed descriptions regarding most of the algorithms used in the software, all of which has citations to primary literature for the even more curious user.
![PC-ORD 教程](//l.b2b168.com/2019/07/18/10/201907181030361751814.jpg)
Decision Tree Poster Helps you understand the Advisor Wizard logic
![PC-ORD 教程](//l.b2b168.com/2019/07/18/10/201907181030459619184.jpg)
Comprehensive Includes major analysis tools plus unique tools for community analyses
![PC-ORD 教程](//l.b2b168.com/2019/07/19/15/201907191511177039654.jpg)
Non-metric Multidimensional Scaling (NMS)
Non-metric Multidimensional Scaling (NMS, MDS, NMDS, or NMMDS) is an ordination method that is well suited to data that are nonnormal or are on arbitrary, discontinuous, or otherwise questionable scales. NMS is generally the best ordination method for community data. Our auto-pilot feature makes it easy to use. A Monte Carlo test of significance is included.
NMS Scree Plot graph example
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