R help - Sep 2008 - Filter Values Out of R Output

Hi list

Is there a possibility to filter certain values out of an R output?

In my case: I want to create a vector of p-values in a for loop that  
invokes for every increment cor.test() on two vectors.

I haven't found a way yet to tell cor.test() to only return the p- 
values instead of the whole text.

Thanks,
Tobi

Dear Tobias,
>From ?cor.test:
# Data set
x <- c(44.4, 45.9, 41.9, 53.3, 44.7, 44.1, 50.7, 45.2, 60.1)
y <- c( 2.6,  3.1,  2.5,  5.0,  3.6,  4.0,  5.2,  2.8,  3.8)

# Including text
res=cor.test(x, y, method = "pearson")
res

# Just the p.value
res$p.value

Also, you might be interested in
this<http://www.nabble.com/Re:-applying-cor.test-to-a-(m,-n)-matrix---SUMMARY-to17150239.html#a17150239>post.

HTH,


Jorge



On Wed, Sep 3, 2008 at 12:20 PM, Tobias Binz
<tobias.binz@nexus-computing.ch
> wrote:
> Hi list
>
> Is there a possibility to filter certain values out of an R output?
>
> In my case: I want to create a vector of p-values in a for loop that
> invokes for every increment cor.test() on two vectors.
>
> I haven't found a way yet to tell cor.test() to only return the
p-values
> instead of the whole text.
>
> Thanks,
> Tobi
>
> ______________________________________________
> R-help@r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
	[[alternative HTML version deleted]]

On 9/3/2008 12:20 PM, Tobias Binz wrote:
> Hi list
> 
> Is there a possibility to filter certain values out of an R output?
> 
> In my case: I want to create a vector of p-values in a for loop that
> invokes for every increment cor.test() on two vectors.
> 
> I haven't found a way yet to tell cor.test() to only return the
p-values
> instead of the whole text.
  str() will compactly display the structure of an object, including the
result of calling cor.test().  Once you know the structure, you can
isolate and save a component.

x <- c(44.4, 45.9, 41.9, 53.3, 44.7, 44.1, 50.7, 45.2, 60.1)
y <- c( 2.6,  3.1,  2.5,  5.0,  3.6,  4.0,  5.2,  2.8,  3.8)

str(cor.test(x, y, method = "kendall", alternative =
"greater"))
List of 8
 $ statistic  : Named num 26
  ..- attr(*, "names")= chr "T"
 $ parameter  : NULL
 $ p.value    : num 0.0597
 $ estimate   : Named num 0.444
  ..- attr(*, "names")= chr "tau"
 $ null.value : Named num 0
  ..- attr(*, "names")= chr "tau"
 $ alternative: chr "greater"
 $ method     : chr "Kendall's rank correlation tau"
 $ data.name  : chr "x and y"
 - attr(*, "class")= chr "htest"

cor.test(x, y, method = "kendall", alternative =
"greater")$p.value
[1] 0.05971947
> Thanks,
> Tobi
> 
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code. 
-- 
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