similar to: nc file

Hi dear friend I use rgdal package for shape files. When installing the package, it gives me the following error, a picture of the error is attached. What command should I run to fix this error? -------------- next part -------------- A non-text attachment was scrubbed... Name: error.png Type: image/png Size: 119454 bytes Desc: not available URL:

Dear Gerrit Thanks a lot. "rbind" seems to be the right function. Unfortunately there is a shift in the x-axis (see pdf). There are 52 trapcatch values each, m and w, but m$trapcatch and w$trapcatch are shifted up to x-value 60. The follow-up lines for temp and humidity are fine. Thanks Sibylle setwd("~/Desktop/DatenLogger2017") # am Mac sks trap =

Hi R community I have a question. I'll explain my situation. I have to build a climate model to obtain monthly and annual temperature from 2004 to 2008 from a specif area in Almeria (Spain). To build this climate model, I will use Multiple regression. My dependant variable will be monthly and annual temperature and independant variables will be Latitute, Longitude and Altitude and I will work

Hello: I need to create a six barplots from data that looks pretty close to what appears below. There are two grouping variables (age and gender) and three dependent variables for each grouping variables. I'm not really familiar with trellis graphics, perhaps there is something that can do what I need there, i don't know. The thing is: I *need* these to appear on one row, with some way

Hello, I am trying to complete a response function analysis using the command dcc in the package 'bootRes'. Here is my code: DC<-read.table("Dalton.txt", header=T) climate<-read.table("climate.txt", header=T) dcc.DC<-dcc(DC, climate, method ="response", start = -4, end =9) My data is formatted correctly for this analysis, with 'DC' being a

Dear R-help community, I have looked on the R search site and archives but cannot find mention of a way of interpolating a gaussian distribution of data to a standard 2.5 degree grid. I have two global dataset and I need to correlate - unfortunately one is a 2.5 degree grid dim[longitude=144,latitude=72] and one is gaussian dim[longitude=192,latitude=94]. I would rally appreciate hearing

Dear R-helpers, I am trying to download some netcdf4 files from the Climate Explorer Website: http://climexp.knmi.nl/start.cgi?id=someone at somewhere In fact, there are 78 distinct files. I have found a way to download a particular file and open it in R, but I have been informed that there exists some code to automatically download all the files. Do you have any clue regarding how to achieve

Dear R-Help friends, I am unable to get the latest version of R (2.4.1) to compile on my solaris 10 system - has anybody else experienced this problem and are you able to offer me any advice? I appreciate your time, many thanks, Jenny Barnes Here are my CURRENT specifications: platform sparc-sun-solaris2.10 arch sparc os solaris2.10

Dear R-help, Which random number generator function would you recommend for simply picking 15 random numbers from the sequence 0-42? I want to use replacement (so that the same number could potentially be picked more than once). I have read the R-help archives and the statistics and computing book on modern Applied statistics with S but the advice seems to be for much form complicated

Good Afternoon- I was wanting to alter the boxplot to remove the lower whisker, both the whisker line and staple just on the lower end. Is there a way to do this? As my code is currently: boxplot(log_loads~ind,data=nfmaum, horizontal=TRUE, notch=T, outline=FALSE, whisker=0, main="Maumee River Near Future Climate Scenarios", ylab="Log Load",xlab="Climate Scenarios")

Hi R-list, I'm working with irregular time series (time series of climate data, daily data 365/6 days a year) and would like to create regular time series from them ( irts e.g. Rain <- irts(as.POSIXct(Climate[,1]),Climate[,5]) to ts e.g. test <- ts(x, start=c(1997,1), frequency=365) ) such that I can find where the gaps (lacking temperature data, ...) are and try

Hi, I am performing GEV analysis on temperature/precipitation data and want to use the ks.boot function but I am unsure of how to implement it using the pgev distribution. For example: ks.test(data,pgev,shape,location,scale) ks.boot(data,(distribution parameters?),alternative="pgev",nboots=1000) Any advice? Apologies in advance if I have used the wrong email address. Regards, Louise

I installed fink and now I have the /sw/lib, however that didn't fix my problem. I went as far as to take out the - Ddlsym=dlsym_auto_underscore out of the configuration files. Now however the libao package won't build at all and yips about this: [ukiel:/MP3/OGG/libao-0.8.6] wind% make Making all in src Making all in plugins Making all in oss make[3]: Nothing to be done for

Dear R-Help community, I am trying to overlay a single contour line over a correlation plot using levelplot in the lattice package. These are the two arrays: 1) a correlation plot over Africa - so each grid square is a different colour dependent on correlation - this is in an array: result_cor with dim[465,465] 2) a single contour line from a ***different data source*** - this is from data

Dear All, The Decision and Policy Analysis (DAPA) program of the International Center for Tropical Agriculture (CIAT), a not-for-profit agriculture, biodiversity and ecosystems research center, supported by the Consultative Group of International Agricultural Research (CGIAR), with headquarters in Cali, Colombia is looking for a visiting researcher to work on various modeling projects, primarily

Dear R-community, I am looking for some simple advice - I have a matrix (therefore 2 dimensional) of global temperature. Having read R-help I think that when I ask R to image() or levelplot() my matrix will it actually appear upside down - I think I therefore need to use the line: > levelplot(temperature.matrix[,ncol(output.temp):1], ........) to get it looking like it was on the globe due

Dear R-help community, I have 2 different arrays of precipitation data each of the same dimensions of [longitude, latitude, time] dim=[30,32,43], called array1 and array2. I need to correlate them. This is the code I used to get one overall correlation value for the whole of the area of interest: > result <- cor(array1,array2,use="complete.obs") > result This give me a

Dear R-Help, I am trying to find a function that will give me the significance of the correlation of 2 variables (in the same dimension arrays) correcting for serial autocorrelation. How can I view the function cor.test's code? I would like to know a lot more detail about the function than written in the documentation at http://finzi.psych.upenn.edu/R/library/stats/html/cor.test.html to

https://bugzilla.netfilter.org/show_bug.cgi?id=1317 Bug ID: 1317 Summary: ulogd missed flow.start.sec and flow.start.usec fields Product: ulogd Version: 2.0.0beta1 Hardware: All OS: Debian GNU/Linux Status: NEW Severity: major Priority: P5 Component: ulogd Assignee:

Hello, I built the entire Vorbis kit on my PowerMac G4 running OSX 10.4.6. I'm having problems however doing anything with the libao package. Any time I try to use the library to link it errors out with the following message: /usr/bin/ld: Undefined symbols: _dlsym_auto_underscore collect2: ld returned 1 exit status If I try to run the ogg123 application I get this: