tidync-package: Tidy tools for NetCDF data.

tidync-packageR Documentation

Tidy tools for NetCDF data.

Description

Provides easy to use idioms for working with NetCDF data for extraction, manipulation and visualization. NetCDF is Network Common Data Form https://www.unidata.ucar.edu/software/netcdf/.

Details

See print.tidync() for details on the printed version of a tidync object.

There is a family of functions "hyper_verb" around exploring and extracting data.

active report the currently active grid
activate active a grid
tidync core NetCDF source object for tidync functions
hyper_filter apply dimension expressions to specify array slices
hyper_array extracts a raw data array based on a NetCDF index
hyper_tbl_cube extracts data as a dplyr tbl_cube
hyper_tibble extracts data as a data frame with all dimension values
hyper_transforms extract the active (or all) dimension transforms
hyper_vars information on active variables
hyper_dims information on active dimensions
hyper_grids information on grids

The scheme generally processes dimension filters into NetCDF extraction indexes and these are always available to each function, and are expressed in printed output.

Examples

argofile <- system.file("extdata/argo/MD5903593_001.nc", package = "tidync")
argo <- tidync(argofile)
argo %>% active()
argo %>% activate("D3,D8") %>% hyper_array()
argo %>% hyper_filter(N_LEVELS = index < 4)
argo %>% hyper_tbl_cube()
argo %>% hyper_tibble(select_var = c("TEMP_QC"))
argo %>% hyper_transforms()
argo %>% hyper_vars()
argo %>% hyper_dims()
argo %>% hyper_grids()

r-gris/tidync documentation built on April 5, 2022, 10:55 a.m.