similar to: Negative numbers in range searches

Hi, Doing 'R CMD check diveMove' is now throwing this message: Data codoc mismatches from documentation object 'sealLocs': Variables in data frame 'sealLocs' Code: id.time.class.lon.lat Docs: class id lat lon time with: R> sessionInfo() R version 2.10.1 (2009-12-14) x86_64-pc-linux-gnu locale: [1] LC_CTYPE=en_CA.UTF-8 LC_NUMERIC=C

Dear R-Community. I am trying show pie charts on a graph. To be precise, I have series of catch calues by species by geographic (5 deg by 5 deg) regions. I want to draw circles (actually pie charts showing the proportion of the catch in each area) so that I have a graph of catch by species by geographic area! I know there is the < symbols(dat$lon,dat$lat,circles = dat$sp1, add=TRUE) > but

Dear R-listers, Here, I would like to hearing helps from you. I have GPS data (multiple points in the geographic scale) in longitude/latitude. I intend to calculate distance (in kilometer) among such points and output the distance matrix in dist class. I have gotten some progress, but I still can not get final goal. Could please give me any directions/advice? This email cc. to Mr. Pierre, the

Hi, I am using the package ncdf to create netCDF files and I want to mimic the the header of an exiting netCDF file created outside of R. Below is what the existing header looks like (part of it that is different): netcdf ccd1984_05_08 { dimensions: lat = 1974 ; lon = 1894 ; time = UNLIMITED ; // (1 currently) variables: int time(time) ;

Dear R users, subject: How to filter XY pairs of inacurate gps position along track, taking into account the time index to not mix track from different days in one average track or subject as: How to filter XY pairs of inacurate gps position: (latitude, longtitude) to get estimated correct position before calculating track i.e. How to estimate (time series? )? How to filter XY pairs of

Hi lily, You could also create "blackcells" as a dataframe (which is itself a type of list). I used a list as I thought it would be a more general solution if there were different numbers of values for different grid cells. The use of 1 for the comparison was due to the grid increments being 1. If you had larger or smaller grid increments, you would use the grid increment size for the

a) you need to read the help pages on the paste function... more likely you are looking for the paste0 function because extra spaces will most likely break the GET request format. b) quotes do not become "stuck" as \" ... that is a visual representation intended to clarify that that quote is not terminating the string but is actually part of it. If you want to see the contents

Hi, I'm trying to read a subset of a netcdf file into R, but although I'm relatively experienced using R, I'm still new to netCDF files, so this may be a very simple/stupid question! I've included an example of the type of file I'm looking at here. www.met.reading.ac.uk/~swp06hg/ccd1983_01-dk1_20.nc (~7Mb) It's a 2D array of the variable CCD along with its lat and

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

Hello I am a new user of R . and I ve problem with R and netcdf . I succed installation , I could use all examples . But when I take my netcf it is different . I want to do statistic on this kind of file . 1) first calculate mean . my data is like that through ncdump -h test.nc netcdf test { dimensions: lat = 301 ; lon = 401 ; time = UNLIMITED ; // (80 currently)

Hi Jim, Thanks. It works. I now have more complex problems. If at each blackcell, there are two variables such as pop and mood. For each variable, there are daily records in one year, so 365 records for pop and 365 records for mood. The averaged values for the redcells should be daily records too. What kind of format do you recommend for this problem? Right now, I just get the latitudes and

Hi lily, It's not too hard to do it using dataframes. Getting the indexing right is usually that hardest part: # these values are the centers of the black cells lat<-rep(28:38,11) lon<-rep(98:108,each=11) pop<-sample(80:200,121) # just use the data.frame function blackcells<-data.frame(lat=lat,lon=lon,pop=pop) plot(0,type="n",xlim=c(97.5,108.5),ylim=c(27.5,38.5),

Hei, I have two spatial datasets Sa and Sb, both with lat-lon coordinates and from same geographic area, but from different localities within the area (independent samples). Sa is biotoc data, Sb is some environmental parameter (fertility). I 'know' that Sb affects Sa, but wonder on which scale. I tried different interpolations by creating different grids of Sb (e.g. 20x20 and 100x100

I am trying to create a new model from XML that contains has a has_many relationship. Is this possible without having to write code to parse the XML or to doing multiple POSTS? I can do a post with XML that doesn''t contain any of the has_many elements and it works fine. It is when I add the items from the has_many relationship that I get a bunch of errors. Here are the examples I am

Hi, everyone I got some problems when trying to subscript the value of vector and list, by using calculated indices. Here is the vector I am generated lon<-rep(0,886);lat<-rep(0,691) for (i in 1:886){ lon[i]<-112+0.05*(i-1) } for (i in 691:1){ lat[i]<--44.5+0.05*(691-i) } For a given location of lon(xp) and lat(yp), I would like to calculate the position of them,

I am ploting gridded time series data. I would like the actual lat and lon value appear on the graph-if possible inside the graph as numbers. If there is also more elegant ways to plot the graphs I will appreciate more suggestions. ################################# library(ggplot2) library(lattice) month <- c("Jan", "Feb", "Mar", "Apr", "May",

Hello - I am having trouble extracting data from NetCDF data files using RNetCDF. The data files each have 3 dimensions (longitude, latitude, and a date) and 3 variables (latitude, longitude, and a climate variable). Here is some of the output from print.nc for clarity: ----- dimensions: month = UNLIMITED ; // (1368 currently) lat = 3105 ; lon = 7025 ; variables: float

I am trying to use RgoogleMaps but when I try to run the script example from "RgoogleMaps-intro.pdf -page 3" (see below) I get the following error "Error en plot.xy(xy.coords(x, y), type = type, ...) " I have tried to solve it but I am going crazy with this, because sometime in the past I made it work I would really appreciate some help Thanks Gabriel *** #Define the

Hi lily, There are one or two assumptions to be made here. First is that the latitude and longitude values of the "black" cells are equally spaced as in your illustration. Second, that all latitude and longitude values for the "red" cells fall at the corners of four "black" cells. You can get the four "black" cells by finding the lat/lon values that are

Dear All I'm having problem with some script which worked a few months ago (on a different computer that might well have had a different version of R installed, so perhaps it has to do with the old version of R?): library(reshape) Loading required package: plyr > tble.data <- melt.array(interp, varnames=c("tme","lon","lat")) > > allyrs.interp <-