On Wed, 29 Apr 2020, Blume Christine wrote:
Dear Achim,
Many thanks indeed. Yes, I had thought about this too and, fortunately,
the bootstrapping confirms the results from the "normal" test. However,
I was wondering whether it is mathematically acceptable to report the
pvals from bootstrapping, but non-bootstrapped correlation coefficients.
Does someone have an opinion on this?
First, coin doesn't do bootstrapping tests, it does permutation tests.
Second, reporting the rho coefficient from the original sample is surely
ok, no matter whether you used a bootstrap test, unconditional asymptotic
test, or permutation test. At least I wouldn't see any reason, not to do
so.
Best,
Z
-----Ursprüngliche Nachricht-----
Von: Achim Zeileis <achim.zeil...@uibk.ac.at>
Gesendet: Mittwoch, 29. April 2020 13:56
An: Blume Christine <christine.bl...@sbg.ac.at>
Cc: Jim Lemon <drjimle...@gmail.com>; torsten.hoth...@uzh.ch;
r-help@r-project.org
Betreff: Re: [R] Package 'coin' - How to extract rho
Christine,
thanks for the example. As far as I can see, the "coin" package does not explicitly compute
Spearman's rho. This is probably also the reason why it isn't reported in the test output. Thus, you would
have to do this "by hand" using cor(..., method = "spearman").
Hope that helps,
Achim
On Wed, 29 Apr 2020, Blume Christine wrote:
Dear Jim,
Many thanks for following up on this. Sure, I can provide a sample code. At the
end of the code you see that I extract the p-value and the test statistic.
However, I cannot find the correlation coefficient rho anywhere in the object
“r”.
Best,
Christine
if(!require(pacman)) install.packages("pacman")
pacman::p_load(sn, fGarch, coin)
# Happiness
central_tendency_sim <- 0
dispersion_sim <- 1
skewness_sim <- 1.5
N_sim <- 10000
Happiness <- seq(from = 0,
to = 10,
length.out = N_sim)
# City size
central_tendency_sim <- 3
dispersion_sim <- 1
skewness_sim <- 1.5
Citysize <- seq(from = 1,
to = 5,
length.out = N_sim)
# create dataframe
datastat <- data.frame(Happiness, Citysize)
# Bootstrapped correlation
r <- spearman_test(Happiness ~ Citysize, data = datastat, distribution
= "approximate", alternative = c("two.sided"))
r
pvalue(r)
statistic(r)
-----Ursprüngliche Nachricht-----
Von: Jim Lemon <drjimle...@gmail.com>
Gesendet: Mittwoch, 29. April 2020 05:53
An: Blume Christine <christine.bl...@sbg.ac.at>
Cc: r-help@r-project.org
Betreff: Re: [R] Package 'coin' - How to extract rho
Hi Christine,
I noticed that your question did not receive a reply. As I don't know exactly
what you have tried, it is a bit difficult to suggest a solution. If you are
still unable to get this to work, could you provide an example of your present
code and data if necessary?
Jim
On Mon, Apr 27, 2020 at 3:09 AM Blume Christine
<christine.bl...@sbg.ac.at<mailto:christine.bl...@sbg.ac.at>> wrote:
I am using the 'coin' package to compute bootstrapped correlations. I am able
to extract the p-value with confidence intervals as well as the test statistic
Z. However, I am unable to find rho, i.e. the correlation coefficient. Can
someone help?
Kind regards,
Christine
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