blocks|key|259602|text|test.res+<-+cor.test(x,y,method="spearman",+exact=F)
test.res[1:8]|type|code-block|depth|inlineStyleRanges|entityRanges|data|syntax|javascript|259603|你要找的东西就在里面。|unstyled|259604|对于特定值，添加另一个索引前缀，如下所示：|259605|test.res[1][1]|259606|为了找到一个特定的元素，你可以用str(test.res)来找到它的位置，然后在上面的test.res[1][5]中进行替换|offset|length|style|CODE|259607|entityMap^0|0|0|0|0|G|D|17|E|0^^$0|@$1|2|3|4|5|6|7|S|8|@]|9|@]|A|$B|C]]|$1|D|3|E|5|F|7|T|8|@]|9|@]|A|$]]|$1|G|3|H|5|F|7|U|8|@]|9|@]|A|$]]|$1|I|3|J|5|6|7|V|8|@]|9|@]|A|$B|C]]|$1|K|3|L|5|F|7|W|8|@$M|X|N|Y|O|P]|$M|Z|N|10|O|P]]|9|@]|A|$]]|$1|Q|3|-4|5|F|7|11|8|@]|9|@]|A|$]]]|R|$]]

<pre><code>test.res &lt;- cor.test(x,y,method="spearman", exact=F)
test.res[1:8]
</code></pre>

what you are looking for will be in there.

for specific values add another index prefix as follows:

<pre><code>test.res[1][1]
</code></pre>

to find a specific element you could <code>str(test.res)</code> to find its location and subsitute in above such as <code>test.res[1][5]</code>

blocks|key|261863|text|您可以使用测试对象的$子集。相关的名称是p.value和estimate。|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|261864|>+tst<-cor.test(1:10,rnorm(10),method="spearman")
>+tst

++++++++Spearman's+rank+correlation+rho

data:++1:10+and+rnorm(10)+
S+=+140,+p-value+=+0.6818
alternative+hypothesis:+true+rho+is+not+equal+to+0+
sample+estimates:
++++++rho+
0.1515152+|code-block|syntax|javascript|261865|。|261866|>+tst$p.value
[1]+0.6818076
>+tst$estimate
++++++rho+
0.1515152+|261867|编辑|BOLD|261868|其他答案指出，您可以使用str调查对象的结构，以找到要与$子集一起使用的名称。您还可以使用names查找名称|261869|>+names(tst)
[1]+"statistic"+++"parameter"+++"p.value"+++++"estimate"++++"null.value"+
[6]+"alternative"+"method"++++++"data.name"+|261870|另一件要考虑的事情是，您正在查看对象的打印版本，而print方法可能正在执行一些计算(在本例中不是这样)。您可以使用class(tst)检查对象类，这表明它属于htest类。print.htest是相关的打印方法，但这是不可见的，因此请使用getAnywhere(print.htest)查看它。|261871|entityMap^0|A|1|K|7|S|8|0|0|0|0|0|2|0|C|3|S|1|19|5|0|0|1M|A|28|5|2F|B|3C|O|0^^$0|@$1|2|3|4|5|6|7|Z|8|@$9|10|A|11|B|C]|$9|12|A|13|B|C]|$9|14|A|15|B|C]]|D|@]|E|$]]|$1|F|3|G|5|H|7|16|8|@]|D|@]|E|$I|J]]|$1|K|3|L|5|6|7|17|8|@]|D|@]|E|$]]|$1|M|3|N|5|H|7|18|8|@]|D|@]|E|$I|J]]|$1|O|3|P|5|6|7|19|8|@$9|1A|A|1B|B|Q]]|D|@]|E|$]]|$1|R|3|S|5|6|7|1C|8|@$9|1D|A|1E|B|C]|$9|1F|A|1G|B|C]|$9|1H|A|1I|B|C]]|D|@]|E|$]]|$1|T|3|U|5|H|7|1J|8|@]|D|@]|E|$I|J]]|$1|V|3|W|5|6|7|1K|8|@$9|1L|A|1M|B|C]|$9|1N|A|1O|B|C]|$9|1P|A|1Q|B|C]|$9|1R|A|1S|B|C]]|D|@]|E|$]]|$1|X|3|-4|5|6|7|1T|8|@]|D|@]|E|$]]]|Y|$]]

You can use <code>$</code> subsetting of the test object. The relevant names are <code>p.value</code> and <code>estimate</code>.

<pre><code>&gt; tst&lt;-cor.test(1:10,rnorm(10),method="spearman")
&gt; tst

 Spearman's rank correlation rho

data: 1:10 and rnorm(10) 
S = 140, p-value = 0.6818
alternative hypothesis: true rho is not equal to 0 
sample estimates:
 rho 
0.1515152 
</code></pre>

.

<pre><code>&gt; tst$p.value
[1] 0.6818076
&gt; tst$estimate
 rho 
0.1515152 
</code></pre>

Edit

The other answers point out that you can investigate the structure of the object with <code>str</code> to find the names to use with <code>$</code> subsetting. You can also find out the names with <code>names</code>:

<pre><code>&gt; names(tst)
[1] "statistic" "parameter" "p.value" "estimate" "null.value" 
[6] "alternative" "method" "data.name" 
</code></pre>

Another thing to consider is that you are looking at the printed version of the object, and the print method may be performing some calculations (it isn't in this case). You can check the object class with <code>class(tst)</code> which reveals it is of class <code>htest</code>. <code>print.htest</code> is the relevant print method, but this is non-visible, so use <code>getAnywhere(print.htest)</code> to view it.

blocks|key|263631|text|test.res+<-+cor.test(x,y,method="spearman",+exact=F)|type|code-block|depth|inlineStyleRanges|entityRanges|data|syntax|javascript|263632|使用str(test.res)查看对象的结构|unstyled|263633|>+str(test.res)
List+of+8
+$+statistic++:+Named+num+182
++..-+attr(*,+"names")=+chr+"S"
+$+parameter++:+NULL
+$+p.value++++:+num+0.785
+$+estimate+++:+Named+num+-0.103
++..-+attr(*,+"names")=+chr+"rho"
+$+null.value+:+Named+num+0
++..-+attr(*,+"names")=+chr+"rho"
+$+alternative:+chr+"two.sided"
+$+method+++++:+chr+"Spearman's+rank+correlation+rho"
+$+data.name++:+chr+"1:10+and+rnorm(10)"
+-+attr(*,+"class")=+chr+"htest"|263634|其中任何一个都可以通过使用$+notation获得。如果您正在寻找获取p.value，请使用以下内容：|263635|test.res$p.value|263636|entityMap^0|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|O|8|@]|9|@]|A|$B|C]]|$1|D|3|E|5|F|7|P|8|@]|9|@]|A|$]]|$1|G|3|H|5|6|7|Q|8|@]|9|@]|A|$B|C]]|$1|I|3|J|5|F|7|R|8|@]|9|@]|A|$]]|$1|K|3|L|5|6|7|S|8|@]|9|@]|A|$B|C]]|$1|M|3|-4|5|F|7|T|8|@]|9|@]|A|$]]]|N|$]]

<pre><code>test.res &lt;- cor.test(x,y,method="spearman", exact=F)
</code></pre>

Use str(test.res) to see the structure of your object

<pre><code>&gt; str(test.res)
List of 8
 $ statistic : Named num 182
 ..- attr(*, "names")= chr "S"
 $ parameter : NULL
 $ p.value : num 0.785
 $ estimate : Named num -0.103
 ..- attr(*, "names")= chr "rho"
 $ null.value : Named num 0
 ..- attr(*, "names")= chr "rho"
 $ alternative: chr "two.sided"
 $ method : chr "Spearman's rank correlation rho"
 $ data.name : chr "1:10 and rnorm(10)"
 - attr(*, "class")= chr "htest"
</code></pre>

Any of these is available by using $ notation. If you are looking for getting the p.value use the following:

<pre><code>test.res$p.value
</code></pre>

Statistics test in R outputs many descriptions. While they are useful, how can we just output or extract single values?

<pre><code>&gt; cor.test(x,y,method="spearman", exact=F)

 Spearman's rank correlation rho

data: x and y 
S = 12767993, p-value = 0.0001517
alternative hypothesis: true rho is not equal to 0 
sample estimates:
 rho 
-0.188074 
</code></pre>

particularly, what to do to just get out these values 0.0001517 and -0.188074 so I can store them for further analyses?

Get a single value out of any statistics tests (e.g. value of spearman rho out of cor.test)

R中的统计检验输出了许多描述。虽然它们很有用，但我们如何才能输出或提取单个值呢？> cor.test(x,y,method="spearman", exact=F)        Spearman's rank correlation rhodata:  x and y S = 12767993, p-value = ...

问从任何统计测试中获取单个值(例如，来自cor.test的spearman rho的值)
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