similar to: For Extracting gridded netcdf data into output files where each file representing the individual grid

Two questions: 1. Is the order of the dimensions shown what is shown if you look at str(ncin) - I mean shown at the end where it describes the variable and its dimensions? 2. Is you problem how to subset the netcdf file, how to write to the .csv file, or both? -Roy > On Aug 28, 2017, at 2:21 PM, Eeusha Nafi <eshad002 at gmail.com> wrote: > > I have a series of nertCDF files

I have a series of nertCDF files containing global data for a particular variable, e.g. tmin/tmax/precipiation/windspeed/relative humuidity/radiation etc. I get the following information when using *nc_open* function in R: datafile: https://www.dropbox.com/s/xpo7zklcmtm3g5r/gfdl_preci.nc?dl=0 File gfdl_preci.nc (NC_FORMAT_NETCDF4_CLASSIC): 1 variables (excluding dimension variables):

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

OK, I'm certain that this topic has been beat to death, but I need some assistance. I am trying to migrate to a SSO for the majority of our workstations and servers within our organization. I am currently trying to integrate a Gentoo Linux workstation to authenticate to the AD server. Once I get the process nailed down, I'll be moving on to bigger and better things... Prior to

HI: I need ideas on how to make this code shorter (maybe with a second loop?). The code as it is works, but in this case I only have 14 samples, but it will become insane with more, so I need a way to make it more automatic. The problem is that the output from ts1, ts2, and so on is a vector with more than one value, so I do not know how to solve this. Thanks Prenewbie The code is the

Hello all. Try this driver (for nut 2.2.0). See attach. - Trust, KP625AP, Egys models stay as it was - add Powercom's Black Knight Pro model support ( BNT-400/500/600/800/801/1000/1200/1500/2000AP 220-240V ) - add Powercom's King Pro model support ( KIN-425/525/625/800/1000/1200/1500/1600/2200/3000/5000AP[-RM] 100-120,200-240 V) - add Powercom's Imperial model support ( IMP-xxxAP,

> From: Jean-Louis Abitbol > > Dear All, > > I would like to merge a data frame such as: > > > basetab > subject dose cmax > 1 1031 50 21.8 > .... > > with the result of a by processing such as: > > > tmax<-by(pkga,subject,f.tmax) > > tmax > subject: 1031 > [1] 6 > --------------------------------------------------

Hello everybody! I'm trying to use nut-2.4.1 with brand new UPS Powercom Imperial IMD-825AP USB. I've faced a problem that the driver powercom despite specifying type=IMP automatically re-detects the UPS as "KIN" and then interprets raw data incorrectly. The same problem was reported by other Powercom users on the official support forum ( http://forum.pcm.ru ). I suppose the

Forgive my poor English. There is Tmax Window, the 1st windows XP compatible proprietary OS from Korea. Tmax company showed screenshot of Tmax Windows. But it is known as they mixed images with real XP and OpenOffice suite screenshots. http://mr-dust.pe.kr/entry/Tmaxwindow-screenshot-failed Tmax Window is doubtful about stolen ReactOS source code: This is a post of a tmax developer.

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

Hi, I have R 2.6.0 with updated lme4 and Matrix packages, and I am trying to fit a nonlinear multilevel model. I get the following error message: Error in nlmer(f ~ grModel(x, w, Tmin, Tmax, Topt, kopt, m) ~ kopt | flat, : gradient attribute of evaluated model must be a numeric matrix and I wonder what this may indicate. The nonlinear model I try to fit is as follows: > grModel

I'm trying to understand what goes on in the process that nls() uses. This converges without much drama: > rate.nls <- nls(Dev ~ exp(rho * (T)) - exp(rho*Tmax - (Tmax - T)/del)+ + lam , data = xx, trace = TRUE, + start = c(rho = 0.15, del = 7, lam = .02, Tmax = 30)) 599.7841 : 0.15 7.00 0.02 30.00 4.69849 : 0.14673457 6.83443060 -0.01417782

Hi all! I have written some code in C for simulating the fate of population using a dll loaded in R. During this simulation the population may go extinct such that the length of its trajectory is unknown beforehand. I wonder there is a way to define the size of the result in C and make it known to R to get the vector appropriately. I have defined the output size very much larger than

Dear list, I was trying to use the R API for optimization method "Simulated annealing" void samin(int n, double *x, double *Fmin, optimfn fn, int maxit, int tmax, double temp, int trace, void *ex); but I encountered the following problem: The implementation of the function samin (as seen in src/main/optim.c) passes its void * argument "ex" into the function

Hello I'm working with a large hydrological data set stored in a netCDF format. The file stores x and y coordinates in the UTM projected coordinate system, yet when I use image to graphically display the z variable, the image is distorted in the sense that it does not plot the map in the correct spatial organization. I'm wondering if I need to define the projection of the netCDF file

I have a set of time-series climate data with missing entries. I need to add rows for these missing entries to this data set. The only way I know to do this is unsing a foreloop, but this won't work on a list. I've tried to convert the list to a data frame, but that won't happen, either. I want to fill rows in this table: > newtest[10:15,] yrmos yearmo snow.sum snow.mean

On Wed, Dec 13, 2017 at 7:03 AM, Joakim Tjernlund <Joakim.Tjernlund at infinera.com> wrote: > On Mon, 2017-12-11 at 08:59 +0100, Joakim Tjernlund wrote: >> On Sun, 2017-12-10 at 14:41 -0500, Gene Cumm wrote: >> > CAUTION: This email originated from outside of the organization. Do not click links or open attachments unless you recognize the sender and know the content is

Hello, I am an R newbie, trying to use lsoda to solve standard Lotka-Volterra competition equations. My question is: how do I pass a parameter that varies with time, like say, phix <- 0.7 + runif(tmax) in the example below. # defining function lotvol <- function(t,n,p){ x <- n[1]; y <- n[2] rx <- p["rx"]; ry <- p["ry"] Kx <-

I am trying to run the following code in R on a Linux cluster. I would like to use the full processing power (specifying cores/nodes/memory). The code essentially runs predictions based on a GAM regression and saves the results as a CSV file for multiple sets of data (here I only show two). Is it possible to run this code using HPC packages such as Rmpi/snow/doParallel? Thank you!

Dear all Im new in R I have a necdf data set that I want to plot : this is my data set [1] "file Tmax.DJF.daily.1981_1999.echama2.nc has 4 dimensions:" [1] "longitude Size: 127" [1] "latitude Size: 110" [1] "ht Size: 1" [1] "t Size: 1680" [1] "------------------------" [1] "file Tmax.DJF.daily.1981_1999.echama2.nc has 1