Other packages > Find by keyword >

ncdf4  

Interface to Unidata netCDF (Version 4 or Earlier) Format Data Files
View on CRAN: Click here


Download and install ncdf4 package within the R console
Install from CRAN:
install.packages("ncdf4")

Install from Github:
library("remotes")
install_github("cran/ncdf4")

Install by package version:
library("remotes")
install_version("ncdf4", "1.24")



Attach the package and use:
library("ncdf4")
Maintained by
David Pierce
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2010-02-24
Latest Update: 2025-03-25
Description:
Provides a high-level R interface to data files written using Unidata's netCDF library (version 4 or earlier), which are binary data files that are portable across platforms and include metadata information in addition to the data sets. Using this package, netCDF files (either version 4 or "classic" version 3) can be opened and data sets read in easily. It is also easy to create new netCDF dimensions, variables, and files, in either version 3 or 4 format, and manipulate existing netCDF files. This package replaces the former ncdf package, which only worked with netcdf version 3 files. For various reasons the names of the functions have had to be changed from the names in the ncdf package. The old ncdf package is still available at the URL given below, if you need to have backward compatibility. It should be possible to have both the ncdf and ncdf4 packages installed simultaneously without a problem. However, the ncdf package does not provide an interface for netcdf version 4 files.
How to cite:
David Pierce (2010). ncdf4: Interface to Unidata netCDF (Version 4 or Earlier) Format Data Files. R package version 1.24, https://cran.r-project.org/web/packages/ncdf4. Accessed 29 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:24), 1.0 (2010-02-24 09:17), 1.6.1 (2012-04-11 20:13), 1.6 (2012-04-10 06:19), 1.10 (2013-11-22 09:40), 1.12 (2014-06-19 09:27), 1.13 (2014-09-16 06:48), 1.14 (2015-11-10 09:41), 1.15 (2015-12-04 08:40), 1.16.1 (2019-03-11 12:39), 1.16 (2017-04-02 00:56), 1.17.1 (2021-11-06 13:11), 1.17 (2019-10-23 21:10), 1.18 (2021-11-26 19:50), 1.19 (2021-12-15 05:10), 1.20 (2022-12-03 21:20), 1.21 (2023-01-07 01:30), 1.22 (2023-11-28 21:00), 1.23 (2024-08-17 23:30)
Other packages that cited ncdf4 R package
View ncdf4 citation profile
Other R packages that ncdf4 depends, imports, suggests or enhances
Complete documentation for ncdf4
Functions, R codes and Examples using the ncdf4 R package
Some associated functions: ancvar_put . nc_close . nc_create . nc_enddef . nc_open . nc_redef . nc_sync . nc_version . ncatt_get . ncatt_put . ncdf4-internal . ncdf4-package . ncdim_def . ncvar_add . ncvar_change_missval . ncvar_def . ncvar_get . ncvar_rename . print.ncdf4 . 
Some associated R codes: ncdf4.R . ncdf4_priv.R . ncdf4_priv_att.R . ncdf4_priv_dim.R . ncdf4_priv_group.R . ncdf4_priv_var.R .  Full ncdf4 package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

GEVcdn  
GEV Conditional Density Estimation Network
Implements a flexible nonlinear modelling framework for nonstationary generalized extreme value anal ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
binovisualfields  
Depth-Dependent Binocular Visual Fields Simulation
Simulation and visualization depth-dependent integrated visual fields. Visual fields are measured mo ...
Download / Learn more Package Citations See dependency  
fastRG  
Sample Generalized Random Dot Product Graphs in Linear Time
Samples generalized random product graphs, a generalization of a broad class of network models. Giv ...
Download / Learn more Package Citations See dependency  
personalized2part  
Two-Part Estimation of Treatment Rules for Semi-Continuous Data
Implements the methodology of Huling, Smith, and Chen (2020) , w ...
Download / Learn more Package Citations See dependency  

29,218

R Packages

247,686

Dependencies

77,281

Author Associations

29,219

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA