search for: davidcross

Hello, Is R very compatible with a Mac? A colleague of mine indicated that everyone he knows with a Mac has problems with R. What can you tell me about using R with a Mac. What do I need to download? I have downloaded the basic R package. Thanks, -- Tiffany Kinder MS Student Department of Watershed Science Utah State University tiffany.kinder@aggiemail.usu.edu [[alternative HTML version

I am trying to do a power analysis to get the number of replicas per treatment. If I try to get the power it works just fine: setn=c(2,3) sdx=c(1.19,4.35) power.t.test(n = setn, delta = 13.5, sd = sdx, sig.level = 0.05,power = NULL) If I go the other way to obtain the "n" I have problems. sdx=c(1.19,4.35) pow=c(.8,.8) power.t.test(n = NULL, delta = 13.5, sd = sdx, sig.level = 0.05,

Sourced: BiodiversityGUI.R Error : .onAttach failed in attachNamespace() for 'Rcmdr', details: call: get(Menus[m, 5]) error: object 'chisquareDistributionPlot' not found Error in BiodiversityRGUI() : needs Rcmdr Hi Guys, I am from China, I wanna use Biodiversity R, but it can't work. Can somebody help me? Thanks -- View this message in context:

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Dear List, This problem is more a statistic one than a R one. Any one can recommend me some references website or online paper on maximum likelihood estimation?I'm now working on that,while still doubt how to prove that the estimated parameters are normal distributed. Thanks for your time and help! Best, Ning

...is that I want to clean the data of all cases with missing values before doing my analyses, and I can't see a way to do this without referring to the entire data set as a whole. I am sure I am missing something fairly simple, but just can't see it. TIA David Cross d.cross at tcu.edu www.davidcross.us

Dear R-users. I'm struggeling to fix the superscript of a label of a figure axis. For some reason R doesn't recognize the "hat" symbol. plot(1,1,xlab="ligth intensity (PAR)",ylab=expression("mass Pteridium rhizomes" (gr/0.25m^2))) A very similiar scriptline does not give any problem at all: plot(1,1,xlab=expression("balsa plot basal

Hi, R-folks: I have been tryin many combination of parameter to make Matern variogram to work, but I can't find the available one. I'm near to be crazy. I tiped: A?o2003Selg.lf<-likfit(A?o2003Selg,cov.model="matern",ini.cov.pars=c(1.5,14),kappa=2.5,fix.kappa=FALSE,nugget=0.08,lambda=0.008,fix.lambda=FALSE,hessian=TRUE) the hessian shows: $hessian [,1]

Dear R Users, I know issues like this have come up in the past. I am wondering how many people would be interested in an online mechanism for donating to the R Foundation or for becoming supporting members. Right now, the link for it is somewhat buried on the R home page, and once you get there, the options are to mail or fax a form. IIRC, Paypal was not a good option due to some fees, but

...y) story, typically irrelevant in the exploratory context where PCA is often used. -- Bert On Sat, Jun 18, 2011 at 5:08 AM, David Cross <d.cross at tcu.edu> wrote: > Yes, Bartlett's is not a good way to "justify" a PCA. > > David Cross > d.cross at tcu.edu > www.davidcross.us > > > > > On Jun 18, 2011, at 1:47 AM, Jeremy Miles wrote: > >> cortest.bartlett() in the psych package. >> >> I've never seen a non-significant Bartlett's test. >> >> Jeremy >> >> >> >> On 17 June 2011 12:43, thibau...

Hi, all I would like to use R to perform k-means clustering on my data which included 33 samples measured with ~1000 variables. I have already used kmeans package for this analysis, and showed that there are 4 clusters in my data. However, it's really difficult to plot this cluster in 2-D format since the "huge" number of variables. One possible way is to project the

Hello R helpers, I'm trying to use Mahalanobis distance to calculate distance of two time series, to make some comparations with euclidean distance, DTW, etc, but I'm having some dificults. I have, for example, two objects: s.1 <- c( 5.6324702, 1.3994353, -3.2572327, -3.8311846, -1.2248719, 0.9894694, -2.2835332, -5.1969285, -5.2823988, -3.1499400, -1.7307950, 2.8221209,

Hello, I am struggling to figure out how to analyse a dataset I have inherited (please note this was conducted some time ago, so the data is as it is, and I know it isn't perfect!). A brief description of the experiment follows: Pots of grass were grown in 1l pots of standad potting medium for 1 month with a regular light and watering regime. At this point they were randomly given 1l of one