Temps53 <- c(rep(AirTempC, times = 53))
>
> #Run correlation between site temps and air temps
> cor.test(AllTemps, airTemps53, alternative = "two.sided", method = "pearson")
Error in cor.test(AllTemps, airTemps53, alternative = "two.sided", method =
"p
True, but if I may put in my two pennies worth, for novices like me it is
useful to know about these things.
-Original Message-
From: Bert Gunter
To: Highland Statistics Ltd
CC: R-help
Sent: Wed, 15 Mar 2017 14:59
Hi, please forgive me but I am completely new to R and have no experience with
it other than a 3 day training course but I need to use it for an urgent
project and don't have time to learn a whole new language before the deadline,
although I hope to get there soon.
My question is this. I
, and I find
myself unaware of what this tool is. Any information or help would be
greatly appreciated.
Warmly,
*Ashley Porter | Director of Recruiting*
D: 708-505-4087 *|* C: 708-705-0802* |* apor...@theplanetforward.com
888-845-2539 *|* F: 708-682-3073 *|* www.theplanetforward.com
800 Hillgrove
solution, which was to replace the last line with:
summary(q2, taus = 1:9/10)
instead of requesting the desired taus in the crq() function.
Regards,
Ashley
Ashley I Naimi, PhD
Assistant Professor
Department Obstetrics and Gynecology
McGill University
———
web: www.ashleyisaacnaimi.comhttp
-darwin13.4.0 (64-bit).
Cheers,
Ashley I Naimi
[[alternative HTML version deleted]]
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PLEASE do read the posting guide http://www.R
Hi UseRs,
Has anyone come across an R package (or any other software) that can
implement Sparse Logistic PCA (an extension to Sparse PCA that works in the
presence of binary-type data)?
Specifically, I have read the 2010 paper by Lee et al. called Sparse
Logistic Principal Component Analysis for
relatively new to functions, and especially to writing permutation functions,
so I'm having difficulty finding the problem.
Thanks,
Ashley
Ashley Stasko
M.Sc. Candidate
Cooperative Freshwater Ecology Unit
Living With Lakes Centre
Laurentian
Hello,
Ive fitted a Garch(2,1) model with function 'garchFit()' from the package
'fGarch':
m1 - garchFit(formula = ~garch(2,1),data = X,trace = F)
* See 'summary(m1)' OUTPUT BELOW *
PROBLEM: My alpha1 term is not significant and I would like to make a NEW
model, say m2, that does not contain
Hi,
forgive me if someone has already posted about this but I have had a look and
cannot find the answer, also I am very new to R and been getting the grips with
this.
I have been trying to use Adonis to find out if there are significant
difference between groups on data that I have analyses
predictor, to save space and
hassle.)
Thanks,
Ashley
#Default reference level = HH:
Estimate Std. Error z value Pr(|z|)
(Intercept) -5.2671 0.2781 -18.942 2e-16 ***
raw.table$SubsComboHS0.8127 0.6438 1.2620.207
raw.table
) or 0.2781 (1st run)?
Thank you!
Ashley
On Sat, May 28, 2011 at 11:49 PM, Joshua Wiley-2 [via R]
ml-node+3558477-671379230-241...@n4.nabble.com wrote:
Hi Ashley,
It does not look like you have done the wrong thing to me. The
results will be different because eacho f the parameter estimates
in dimnames(x) - dn :
length of 'dimnames' [1] not equal to array extent
Any thoughts on what's going on here and how to fix it?
Many thanks in advance.
Ashley
--
Ashley E. Jochim
Graduate Fellow
Center for American Politics Public Policy
Department of Political Science
University
setting the random number seed with the time.
It appears that somehow it is not using the standard random number generator as
.Random.seed
is unchanged.
Has anyone any idea what is happening ?
Example below, different runs always return chkres327b23c6 followed by
chkres643c9869
Ashley Ford
Hi there,
Can anyone please tell me if it is possible to limit parameters in nlrq()
to 'upper' and 'lower' bounds as per nls()? If so how??
Many thanks in advance
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