similar to: Create a data subset

Hi professors I'm finding the best package in R for manage a big database about vessels. I need to divided the travel of each boat into tracks. I have GPS points. I would join these points in a line on the map. I make that with the function "lines", but I can't divided by vessel or by track, I saw several packages, for tracking animals but they had specifically variables. And I

Han-Lin I don't think I have seen a reply so I will suggest that maybe you could try a different approach than what you are thinking about doing. I believe the current best practice is to use the weights as a covariate in a regression model - and bytheway - the weights are the inverse of the probabilities of selection - not the probabilities. Fundamentally, there is a difficulty in making

Hi, I'm trying to create a plot showing the density distribution of some shipping data. I like the look of violin plots, but my data is not continuous but rather binned and I want to make sure its binned nature (not smooth) is apparent in the final plot. So for example, I have the number of individuals per vessel, but rather than having the actual number of individuals I have data in the

Hello, I want to do a plot of two series, but adding a secondary axis in the rigth side to take into account the different scales of the two series. Anyone can tell me haw can I do that in R? Thank you very much Maria -- View this message in context: http://www.nabble.com/secondary-axis-in-a-plot-tp17402079p17402079.html Sent from the R help mailing list archive at Nabble.com.

Dear R users, I am querying an Oracle database using sqlQuery() from the RODBC package. What I would like to do is embed my R Sql query in a for loop. For example suppose the data.frame "vessel" contains two columns: vessel[,1]= vessel id and vessel[,2]=permit year I am using "vessel" as an input in a SQL based function that require inputs of permit year and vessel id

I'm trying to do a Hosmer-Lemeshow 'goodness of fit' test on my logistic regression model. I found some code here: http://sas-and-r.blogspot.com/2010/09/example-87-hosmer-and-lemeshow-goodness.html The R code is above is a little complicated for me but I'm having trouble with my answer: Hosmer-Lemeshow: p=0.6163585 le Cessie and Houwelingen test (Design library): p=0.2843620

Hello, When I run the following glm model: modelresult=glm(CID~WS+SS+DV+DS, data=kimu, family=binomial) I get the following warning messages: 1: glm.fit: algorithm did not converge 2: glm.fit: fitted probabilities numerically 0 or 1 occurred What I am trying to do is model my response variable (CID: correct bird identification) as a function of the predictor variables weather state (WS), sea

Hi -I am using R v 2.13.0. I am trying to use the aggregate function to calculate the percent at length for each Trip_id and CommonName. Here is a small subset of the data. Trip_id Vessel CommonName Length Count 1 230 Sunlight Shad,American 19 1 2 230 Sunlight Shad,American 20 1 3 230 Sunlight Shad,American 21

Hope one of you could help with the following question/problem: We would like to explain the spatial distribution of juvenile fish. We have 2135 records, from 75 vessels (code_tripnr) and 7 to 39 observations for each vessel, hence the random effect for code_tripnr. The offset (‘offsetter’) accounts for the haul duration and sub sampling factor. There are no extreme outliers in lat/lon. The model

Hi: Is this an Ogg or MP3 stream? If MP3, do the same streams have the same format? Geoff. -- Geoff Shang <geoff@hitsandpieces.net> Phone: +61-418-96-5590 MSN: geoff@acbradio.org Make sure your E-mail can be read by everyone! http://www.betips.net/etc/evilmail.html Please avoid sending me Word or PowerPoint attachments. See http://www.fsf.org/philosophy/no-word-attachments.html

Hi, All Thanks to Robert Baskin, Thomas Lumley, and Spencer Graves for the valuable helps. I have learned a lot from this discussion. I put all discussions together without editing, so we can see how things are evolved. Likely, I have a lot of articles to read. As in the discussion, mixed modeling approach is a poosible but may be over-kill in my posted data analyses. I will explore other

Hello all, I skimmed the last year's worth of messages and all the docs and could find no reference to this. I'm hoping someone here can assist. I am a host for an Internet radio station,and we gave about 20 DJs. Each host determines their own playlist and uses a variety of tools to broadcast to the Icecast server (e.g. SAM2, SimpleCast, etc.). Since we do not have a set playlist for

Hello everyone, I was trying to fit an arima model to a daily historical data, but, for some reason, havent been able to. I basically have 212 observations (from 12/1/2012 to 06/30/2013) containing the number of transits for a particular vessel. The following messages are produced by R: dailytrans.fit<-arima(dailytrans$transits, order=c(0,1,2), seasonal=list(order=c(0,1,2), period=365),

Is there an optimal / minimum sample size for attempting to construct a classification tree using /rpart/? I have 27 seagrass disturbance sites (boat groundings) that have been monitored for a number of years. The monitoring protocol for each site is identical. From the monitoring data, I am able to determine the level of recovery that each site has experienced. Recovery is our

R-help, Sorry for posting again the same question (dated 26-03-2007) but all my mails have been sent to the recycle bin without possibility of recovering and thus I don't know if anyone has answer my query. Here is the original message: I'm applying a gam model (package mgcv) to predict relative abundances of a fish species. The covariates are year, month, vessel and statistical

Hi, I am extracting positions data from the marine traffic website. The table has a "Timestamp" column which, in the browser, appears with the format yyyy-mm-dd HH:MM (UTC), e.g. 2017-07-10 14:04 (UTC). When I import the table, the same date "2017-07-10 14:04 (UTC)" appears as "1499696500149969650021 minutes ago", This is the more recent date and time. Older

Dear R users, I would like to combine lattice plot (xyplot) and standard R plot (plot and plotCI) in an unique figure. I use the function "par()" to combine plot and plotCI and I use the function "print()" to combine xyplot. I tried to use these functions to combine xyplot and plotCI and plots but they do not work. Does anybody know how I can do this? Thank you very much in

Dear R-helper, I wonder if anyone can help me. I am trying to convert a dataset to a format recognizable by a software onboard a research vessel but I am having problems with some steps. I have a data frame as follows: Conc Lat Lon Depth Point0000 56.25 -5.65 70 Point0001 56.55 -5.35 85 Point0002 56.25 -5.65 65 Point0003 56.37

Hi, Am newish to stats and R, so I certainly appreciate any help. Basically I have 50 inidividuals whom I have 6 photos each of their optic nerve head. I want to check that the orientation of the nerve head is consistent, ie the 6 replicates show minimal or preferably no rotation differences. I'll draw an arbitrary line between some blood vessels (same reference in each set of replicates) and

Hello, If I want to do something like this:- if $::lsbdistrelease >= 6.3 { SOMETHING } Do I have to convert lsbdistrelease from a string to a number with an inline template or some such ? Thanks Paul -- You received this message because you are subscribed to the Google Groups "Puppet Users" group. To unsubscribe from this group and stop receiving emails from it, send an email