tidync-package | R Documentation |
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/.
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.
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()
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.