similar to: Principal component / EOF analysis of data dominated by a couple frequencies

Hello all, If someone could take a little time to help me then I would be very grateful. I studied piping plovers last summer. I watched each chick within a brood for 5 minutes and recorded behaviour, habitat use and foraging rate. There were two Sites, the first with 4 broods and the second with 3 broods. http://r.789695.n4.nabble.com/file/n4511178/Table_PP_Maslo_et_al.png As the data within a

I am looking at using R to analyze time series data containing a tidal component. I need to remove the tidal signal to extract the time series of the phenomena I seek to study. A browse of R-project search engines has not been too fruitful? I've found 'hoa' and 'Rwave', but need further help getting started. THANKS. -wa

Hi , I know this question has been asked twice in the past but to my knowldege, it still hasn't been solved. I am doing a zero inflated binomial model using the VGAM package, I need to obtain p values for my Tvalues in the vglm output. code is as follows > mod2=vglm(dmat~Season+Diel+Tidal.phase+Tidal.cycle,zibinomial, data=mp1) > summary(mod2) Call: vglm(formula = dmat ~ Season +

Hi, I have had a look around the forums and I can't seem to find anything that works with my data. I have lats, longs, time, tidal speed and direction and need to plot this in an xy plot to determine changes over time. contour and cloud have been recommended to me as a way to do this but I can't figure out how to get 5 dimensions into this. I want lat and long as my x and y, time as my

--- feeds/feed.xml | 24 ++++++++++++++++++++++++ 1 file changed, 24 insertions(+) diff --git a/feeds/feed.xml b/feeds/feed.xml index 0d16cd9..2390cd0 100644 --- a/feeds/feed.xml +++ b/feeds/feed.xml @@ -7,6 +7,30 @@ <atom:link href="http://xiph.org/flac/feeds/feed.xml" rel="self" type="application/rss+xml" /> <item> + <title>FLAC

Hello, I have been attempting to set up a lme and have looked at numerous posts including 'R's lmer cheat-sheet' as well as reading a number of papers and other resources including R help, but I am still a little confused on how to write my model (I thought I had it). I have asked a number of questions on different forums; most of which have been resolved. My main concern right now

Dear all, I want make correction depth of a bathymetric data set. To do so, I have the depth data set sample every second (a depth at each second) in one hand, and in the other hand, I have a tide variation level data set sample every 250 ms. The time register in each data sets (tide and bathymetric) is express in seconds followinf this format : hh:mm:ss.ss I would like to rectify the depth

QUESTION: is there a way to make objects (e.g. data frames) read-only? BACKGROUND: I am writing some functions that use a data frame (frequencies of tidal constituents) that I want to be read-only. I can see how to accomplish this within a single function (just define the data in the function), but I'm not sure how to share read-only values between (un-nested) functions. Is there a more

Trying to use rcmd in our Windows environment to launch tasks on remote servers. We are using the job scheduler from Tidal corporation. The problem is the return code that's coming back to the job scheduler,Tidal, is from the RCMD NOT from the tasks that it launched. We need to get the return code from the task that was launched via rcmd. Help Lou Zollo Production Control Manager

I have a mixed model with a binomial response, four factor variables and one random factor. m1=glmer(nbhf.hour~Season+Diel+Tidal.phase+Tidal.cycle+(1|POD.ID),family=binomial,data =bl1,control=list(msVerbose=TRUE)) I have really need to try and find a post hoc test for this model and finding the pariwise comparisons, note the dataset is unbalanced. I had read many questions on this and there

Dear R users, It may be very simple but it is being difficult for me. I'd like to calculate the difference in percent between to measures. My data looks like this: set.seed(123) df1 <- data.frame(measure = rep(c("A1", "A2", "A3"), each=3), water = sample(c(100:200), 9), tide = sample(c(-10:+10), 9)) df1 # What I want to calculate is:

Does anyone have the C reference code of the ITU G.711 Appendix II ? -- Guilherme Loch G?es "Wave after wave will flow with the tide And bury the world as it does Tide after tide will flow and recede Leaving life to go on as it was..." - Neil Peart , Natural Science

I have been trying to visualize times of lowest tides, month by month. I have tide predictions with times either in unix time or a text format, and heights in feet or meters. I had been able to derive the clock times of each prediction. I would now like to graph this data with points showing heights as "r" and times as "theta", from 0000 to 2355. There is a seasonal

You should be able to use that header information to create the correct parameters to the read_fwf function to read in the data. Jim Holtman Data Munger Guru What is the problem that you are trying to solve? Tell me what you want to do, not how you want to do it. On Thu, Oct 5, 2017 at 11:02 AM, jean-philippe <jeanphilippe.fontaine at gssi.infn.it> wrote: > dear Jim, > > Thanks

Hello R users, I am trying to use R to do the low pass filter analysis for the tidal data. I am a novice in R and so far been doing only simple stuffs on R. I found a package called signal but couldn't find the proper tutorial for the low pass filter. Could anyone point me to the proper tutorial or starting point on how to do low pass filter analysis in R ? Thank you so much. Janesh

dear Jim, Thanks for your reply and your proposition. I forgot to provide the header of the dataframe, here it is: ================================================================================ Byte-by-byte Description of file: lvg_table2.dat -------------------------------------------------------------------------------- Bytes Format Units Label Explanations

Bug posted: https://bugzilla.samba.org/show_bug.cgi?id=9919 Sorry I can't making a patch, but I attached a Java client test file in it. Sorry again, I don't know to written it in C language. ------------------ Original ------------------ From: "Andrew Bartlett"<abartlet at samba.org>; Date: Thu, May 30, 2013 01:42 PM To: "Tide"<lovetide at qq.com>; Cc:

Dear R users, I have a data set of 25 cases with 150-160 explanatory variables(the number of which depends on what I choose from 200 odd digitalized spectrum strength numbers) and one dependent variable(a sensory test result). My natural choice is to work on a principal component analysis using the explanatory variables, thus enabling to characterize and describe the data space, and make a

dear Jim, Yes I fixed the problem. Thanks again all of you for your contribution! This worked : start <- c(1, 20, 35, 41, 44, 48, 53, 59, 64, 70, 76, 78, 83, 88, + 93, 114, 122, 127) data1<-read_fwf("lvg_table2.txt",skip=70, fwf_widths(diff(start))) Well now I know how to deal with fixed-width files :) Cheers Jean-Philippe On 05/10/2017 18:42, jim

I must apologize in advance for asking a simple question. I am sure that a clue will be sufficient to get this show on the road. I am trying to graph tide prediction data in various ways. I haven't been able to answer this question after pouring over TFM. I read the datafile theight <- read.table("tides",header=TRUE) I do get a summary() or fivenum()