[英]How do I get p-values for all variables then using function ordiR2step?
In R: I'm doing a partial RDA, using a forward selection procedure to identify the explanatory variables which are most important for a coleoptera community.在 R 中:我正在做部分 RDA,使用前向选择程序来识别对鞘翅目群落最重要的解释变量。
But how do I get not only adjusted R2 values, but also p-values for all tested variables when using function ordiR2step?但是,当使用 function ordiR2step 时,如何不仅获得调整后的 R2 值,还获得所有测试变量的 p 值?
And why is function ordiR2step so much faster than ordistep in doing so??为什么 function ordiR2step 比 ordistep 快这么多?
I first answer to the last question: ordiR2step
is so much faster than ordistep
because it does not estimate all p -values.我首先回答最后一个问题:
ordiR2step
比ordistep
快得多,因为它不估计所有p值。
The p -values are found with permutation tests, and running those tests to all variables takes time. p值是通过置换测试找到的,并且对所有变量运行这些测试需要时间。
There is no way of getting all so-called p -values in ordiR2step
because the method does not use those, as is explained in the source paper cited (Blanchet et al. 2008 in the help page) and the help page.没有办法在
ordiR2step
中获取所有所谓的p值,因为该方法不使用这些值,正如引用的源文件(Blanchet 等人 2008 在帮助页面中)和帮助页面中所解释的那样。 That is the reason why the method is called ordi
R2 step
: it uses primarily R 2 instead of p -values.这就是该方法被称为
ordi
R2 step
的原因:它主要使用R 2而不是p值。 If you want to get all p -values, you must use a method that was written to evaluate those, that is ordistep
.如果要获取所有p值,则必须使用一种为评估这些值而编写的方法,即
ordistep
。
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