search for: oceanographers

R 1.8.0 on Windows XP Professional. A huge THANK YOU to the R Team for this marvelous software. I am making lattice plots of oceanographic data. The usual layout does not conform to plotting conventions that marine scientists use when depth is the independent variable. Under those conventions, plots are made with the origin at the upper left, depth on the vertical axis (increasing as it

The NOAA National Centers for Coastal Ocean Science is hiring a Computational Ecologist, a statistical/computational ecologist with experience fitting advanced spatial models to marine wildlife survey data (e.g., seabirds and marine mammal transects, fisheries trawl surveys) in R and other statistical languages. This is a full-time, long-term stable contract position. We are looking for an

Dear Rcommunity, I hope this email finds you well. I am writing to seek your assistance with a data visualization problem I am facing while working with R. Problem Description: I have a dataframe named "df" containing the following columns: "longitude", "latitude", "sea_currents_mag", and "sea_currents_direction". The dataframe includes sea

System info: Red Hat 9.0 R Version 1.8.0 ESS 5.1.21 Emacs 21.2.1 ------------------- Hello I've been working with Paul Murrell here in New Zealand to develop plots of temperature and density profiles at 22 stations spanning a frontal zxone, and then overlaying the isothermal and mixed layer depths (similar to Kara et al. 2003 JGR Oceans 108(C3) pg. 24-5, figure 2). Paul Murrell has a

Dear R listers, When using smooth.spline to interpolate data, results are generally good. However, some cases produce totally unreasonable results. The data are values of pressure, temperature, and salinity from a probe that is lowered into the ocean, and the objective is to interpolate temperature and salinity to specified pressures. While smooth.spline provides excellent values at the

Colleagues ---------------------------------- System info: R version rw1022 on NT ESS v. 5.1.18 using emacs ver. 20.4 ---------------------------------- As recommended, I keep separate directories for projects, but also use separate sub-directories for types of data (e.g. different oceanographic instruments) within projects. My problem is that I often need to access the objects and data (not

System: Linux kernel 2.6.15 Ubuntu dapper R version 2.5.1 ESS 5.2.11 on Emacs 21.4.1 ------------------------- Colleagues Having read the posts on producing perfect graphs in R, or using inkscape to edit R graphics output, I have a related question. Lately I am publishing in a journal that is very picky about their graphics formats. It is more efficient for me to get the final picky details

My apologies for he very short time before things close, but it's not my fault. If necessary get your hat in the ring by Friday and see to the niceties later, may I suggest. This is a vacancy in my group in Cleveland. The work is interesting and the challenges large. Bill Venables. ---------------------------------------------------------------------------- Division of Marine Research

Hi, I'm newbie in R package, but i'm extremely gratefull for these list! is there possible to make kruskal.test summarize the sum of ranks?? e.g ##### z<-c(1.2,3.4,0,0,0,0,0) ranks(z) # like in octave package ans= 6 7 3 3 3 3 3 sum(ranks(z)) ans= 28 ### then apply multiple comparisions for many other data SE<-sqrt(n*(n*k)*(n*k+1)/12) # according Zar,JH. Bioestatistical

I am exploring the use of loess for oceanographic applications and would like to plot the locations (longitude and latitude) points where the models (salinity~temperature*longitude*latitude,parametric="temperature") are fitted. Chambers and Hastie(1993) explains the locations are nodes of a k-d tree. but I cannot find anything about accessing this information. It would be useful to

Wildlife Statistician/Spatial Modeler ? Silver Spring, MD Seeking a Wildlife Statistician/Spatial Modeler with demonstrated experience fitting advanced statistical spatial/spatiotemporal models to wildlife survey data. The statistician/modeler will conceive and execute spatial analyses and generate predictive maps of coastal and marine species distributions to support coastal planning. The

Hi all, I am a beginner trying to use R to work with large amounts of oceanographic data, and I find that computations can be VERY slow. In particular, computational speed seems to depend strongly on the number and size of the objects that are loaded (when R starts up). The same computations are significantly faster when all but the essential objects are removed. I am running R on a machine

> > > > <https://goosocean.us15.list-manage.com/track/click?u=75c69bf185fb2be069850f6ee&id=fd7c35981e&e=3b244e9fac> > > Note | June 2024 > > > > > Webinar announcement > > How to access ERDDAP data using R > > > > > 20 June 2024 | 18:00 CEST > See what time it is for you

I've been using (and loving) R for quite a while now, but I have to admit that something simple is still stumping me. The question is how I can control the box within which a plot is drawn, in cases where I'm controlling the aspect ratio with the "asp" argument. The problem comes up in pdf() and png() output formats, but also with interactive windows, and so I'll

Colleagues, I am analyzing data collected during oceanographic cruises. We have conducted many cruises over the last decade. On each cruise we visit ~50 stations. At each station (termed EventNum)we lower an instrument that measures depth, temperature, salinity and oxygen every few seconds as it is lowered through the water. Data from all EventNums on all cruises are stacked, generating a data

Hi there, I'm using the lattice package to create an xy plot of abundance vs. depth for 5 stages of barnacle larvae from 5 species. Each panel of the plot represents a different stage, while different loess smoothers within each panel should represent different species. However, I would like depth to be on the y-axis and abundance to be on the x-axis, because this is more intuitive as an

The University of Miami's Rosenstiel School of Marine and Atmospheric Sciences (RSMAS) is seeking a research associate to work with hydrographic data. The objective of the project is to develop statistical models for estimating salinity and density from observations of temperature together with knowledge of location and time. Because the relationship between salinity and temperature can be

Can someone point me to the appropriate functions for fitting multiple statistical models that are coupled to each other. The data are measurements of salinity s and temperature t at stations id and pressures at p as well as surface elevations h at stations id. The problem is, for any new station, to estimate s at all p, given t at all p and given h. If h is ignored, the for each p, there

System: Linux Ubuntu 7.10 Gibbon kernel 2.6.22-14-generic Emacs ver. 22.1.1 ESS ver. 5.3.0 R version 2.6.0 (2007-10-03) ------------------------------------------------ Colleagues This is a follow-up note to my earlier post under this header, giving my solution. First, with some trepidation I upgraded my ubuntu distro, and this time did a full reinstall, so I did not break my system, as I have

I have a data frame ("res$data" in the example below), and I'd like to walk through it, doing an approx() to interpolate each element in turn based on the value of the item named "pressure" that is in the data.frame. I've put some code below. I had hoped that the commented-out "length() <-" line would let me adjust the lengths of the items, but that has