similar to: Remove attribute from netcdf4 object

Dear all I'm a newbie regarding netcdf data. Today I realized that I maybe do not understand some basics of the netcdf. I want to create a *.nc file containing three variables for Switzerland. All data outside of the country are NAs. The third variable is calculated from the first two variables. Basically there is no problem to do that. I copy the file with the data of the first variable,

Dear Marc Thanks for your remark. I don't want to use both packages. I mentioned the package RNetCDF to show that there is a similar function I' d like to use. Raphael Von: Marc Girondot [mailto:marc.girondot at u-psud.fr] Gesendet: Mittwoch, 2. August 2017 14:51 An: Felber Raphael Agroscope <raphael.felber at agroscope.admin.ch>; r-help at r-project.org Betreff: Re: [R] Remove

Hi Marc That's a workaround I can use. Thanks. I'm a newbie regarding netCDF data. Is there any information I'm losing when switching between the packages? Raphael Von: Marc Girondot [mailto:marc.girondot at u-psud.fr] Gesendet: Mittwoch, 2. August 2017 15:13 An: Felber Raphael Agroscope <raphael.felber at agroscope.admin.ch> Betreff: Re: AW: [R] Remove attribute from netcdf4

Le 02/08/2017 ? 12:03, raphael.felber at agroscope.admin.ch a ?crit : > Dear all > > For a model I need to combine several netCDF files into one (which works fine). For better overview I'd like to delete/remove some of the attributes. Is there a simple way doing this? > > I'm using the package netcdf4, which creates an object of class(nc) = "ncdf4". It seems that

On Mon, Aug 14, 2017 at 5:29 AM, <raphael.felber at agroscope.admin.ch> wrote: Dear all > > I'm a newbie regarding netcdf data. Today I realized that I maybe do not > understand some basics of the netcdf. I want to create a *.nc file > containing three variables for Switzerland. All data outside of the country > are NAs. The third variable is calculated from the first two

Dear all I have to combine 3D netCDF files (lon, lat, time). The files contain data of one month and I need a year file containing all the data. Because the attributes of all files are the same, I copied the first file and appended the data of the other months. This went well until the provider of the data changed the time-dimension from UNLIMITED to LIMITED. Is there a way to change the time

Note that if you force a garbage collection each iteration the times are more stable. However, on the average it is faster to let the garbage collector decide when to leap into action. mb_gc <- microbenchmark::microbenchmark(gc(), { x <- as.list(sin(1:5e5)); x <- unlist(x) / cos(1:5e5) ; sum(x) }, times=1000, control=list(order="inorder")) with(mb_gc,

The large value for maximum time may be due to garbage collection, which happens periodically. E.g., try the following, where the unlist(as.list()) creates a lot of garbage. I get a very large time every 102 or 51 iterations and a moderately large time more often mb <- microbenchmark::microbenchmark({ x <- as.list(sin(1:5e5)); x <- unlist(x) / cos(1:5e5) ; sum(x) }, times=1000)

Dear all I was thinking about efficient reading data into R and tried several ways to test if load(file.Rdata) or readRDS(file.rds) is faster. The files file.Rdata and file.rds contain the same data, the first created with save(d, ' file.Rdata', compress=F) and the second with saveRDS(d, ' file.rds', compress=F). First I used the function microbenchmark() and was a astonished

Hi there Thanks for your answers. I didn't expect that this would be so complex. Honestly, I don't understand everything you wrote since I'm not an IT specialist. But I read something that reading *.rds files is faster than loading *.Rdata and I wanted to proof that for my system and R version. But thanks anyway for your time. Cheers Raphael > -----Urspr?ngliche Nachricht-----

You need to study how reading files works in your operating system. This question is not about R. -- Sent from my phone. Please excuse my brevity. On August 22, 2017 5:53:09 AM PDT, raphael.felber at agroscope.admin.ch wrote: >Dear all > >I was thinking about efficient reading data into R and tried several >ways to test if load(file.Rdata) or readRDS(file.rds) is faster. The

Buenas tardes, pido disculpas si mi consulta es demasiado elemental, pero actualmente encuentro una gran barrera para continuar mi trabajo si no lo solvento. Soy usuaria principiante de R, estoy trabajando con una base de datos climática <https://digital.csic.es/handle/10261/104742>que se encuentra en formato netcdf4 y necesito transformarla a la versión 3 con el fin de visualizarlo en un

Hello, I am a new user of R and Linux (debian squeeze), and I am trying to install the ncdf library. First I don't know wich is the best to use (ncdf or ncdf4), But not matter the one I tried to install, it always failled. I try to find a solution to this common problem on the web, but I never find the good way to solve it. I hope you could help me I try many things during two days and now I

Hi, I'm new to R. I have some daily soil moisture data for the year 1979 in netcdf format such as these sm19790101.1.nc sm19790102.1.nc . . . sm19791231.1.nc I need to average a variable called "sm" to monthly resolution. I've done these days = formatC(1:31, width=2, flag="0") ncfiles = lapply(days, function(d){ filename = paste("sm197901", d,

Hello, I'm trying to install ncdf4 on RHEL 5.8, R version 2.15.1. Previously installed is netcdf 3.6.2 from Red Hat, so I've compiled and installed netcdf 4.2.1.1 (with hdf5 and zlib as per install instructions, and also set --enable-netcdf4 option) into /usr/local. When attempting to install ncdf4 it is failing with: ** testing if installed package can be loaded Error in

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 Pavel Michna [maintainer of the package] (and copy to R-help Mailing List) When I try to load the package RNetCDF (after install from CRAN) I get this message: > library("RNetCDF", lib.loc="/Library/Frameworks/R.framework/Versions/3.0/Resources/library") Error : .onLoad a ?chou? dans loadNamespace() pour 'RNetCDF', d?tails : appel : NULL erreur : I/O error

Hi, I found the same question in the mailing list already a few months ago - but there was no answer to it - so I'll try it again Could somebody help me to solve this following problem? I just begin to learn how to connect my Oracle database with R. > library(DBI) > library(ROracle) Warning message: DLL attempted to change FPU control word from 8001f to 9001f >

Hi I am using windows. I cant install ncdf4 package but it didn't work . any suggestions!! -- View this message in context: http://r.789695.n4.nabble.com/ncd4-package-tp4477496p4477496.html Sent from the R help mailing list archive at Nabble.com.

Caching happens, both within the operating system and within the C standard library. Ostensibly the intent for those caches is to help performance, but you are right that different low-level caching algorithms can be a poor match for specific application level use cases such as copying files or parsing text syntax. However, the OS and even the specific file system drivers (e.g. ext4 on flash disk