not sure which library 'pcor' is in, but why don't you just use the ranks of
the variables and then perform the correlation on the ranks:
x<-sample(1:10,10,rep=T)
y<-x+ sample(1:10,10,rep=T)
cor(x,y)
cor(rank(x),rank(y))
HTH
david freedman
Jürg Brendan Logue wrote:
>
> Hej!
>
>
>
> I have the following problem:
>
>
>
> I would like to do partial correlations on non-parametric data. I checked
> "pcor" (Computes the partial correlation between two variables given a set
> of other variables) but I do not know how to change to a Spearman Rank
> Correlation method [pcor(c("BCDNA","ImProd","A365"),var(PCor))]
>
>
>
> Here's a glimpse of my data (data is raw data).
>
>
> A436
>
> A365
>
> Chla
>
> ImProd
>
> BCDNA
>
>
> 0.001
>
> 0.003
>
> 0.624889
>
> 11.73023
>
> 0.776919
>
>
> 0.138
>
> 0.126
>
> 0.624889
>
> 27.29432
>
> 0.357468
>
>
> 0.075
>
> 0.056
>
> 0.624889
>
> 105.3115
>
> 0.429785
>
>
> 0.009
>
> 0.008
>
> 0.312444
>
> 55.2929
>
> 0.547752
>
>
> 0.005
>
> 0.002
>
> 0.624889
>
> 26.9638
>
> 0.738775
>
>
> 0.018
>
> 0.006
>
> 0.312444
>
> 31.14836
>
> 0.705814
>
>
> 0.02
>
> 0.018
>
> 2.22E-16
>
> 11.90303
>
> 0.755003
>
>
> 0.002
>
> 0.003
>
> 0.624889
>
> 7.829781
>
> 0.712091
>
>
> 0.047
>
> 0.044
>
> 1.523167
>
> 1.423823
>
> 0.710939
>
>
> 0.084
>
> 0.056
>
> 13.7085
>
> 1.533703
>
> 0.280171
>
>
>
> Im really grateful for any help since I only recently started employing
> R.
>
>
>
> Best regards,
> JBL
>
>
>
>
>
>
>
>
>
>
>
>
> [[alternative HTML version deleted]]
>
>
> ______________________________________________
> 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.
>
>
-----
David Freedman
Atlanta
--
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