Changelog
Source:NEWS.md
getCRUCLdata 1.0.2.9000
Minor changes
Add source and references to documentation for data
Create function aliases that use all lower case, e.g.,
get_cru_stack()
vsget_CRU_stack()
Improved documentation with linting, ensuring consistency in units of measurement, etc.
getCRUCLdata 1.0.1
getCRUCLdata 1.0.0
getCRUCLdata 0.3.0
CRAN release: 2019-04-12
getCRUCLdata 0.2.4
CRAN release: 2018-06-16
getCRUCLdata 0.2.0
CRAN release: 2017-11-16
Major changes
Use hoardr for managing cached files
Fixed a bug where the file cache was not in the proper subdirectory. The file cache has moved to the proper location in a
R/getCRUCLdata
location rather thangetCRUCLdata
. You may wish to move files externally to R in order to keep them in the cache where the package will find themUse
lapply
in place ofpurrr::map
, purrr is no longer imported
getCRUCLdata 0.1.8
CRAN release: 2017-07-07
Bug Fixes
Fix bug where
cache
was not specified in internal function,.set_cache()
, this caused either of the functions fetching data from CRU to failFix bug where
cache
directory could not be created on Windows OS machinesFix bug where tmx was returned when either tmn or tmx was requested for data frame, tmn now returned when requested and tmx now returned when requested. Raster stacks were not affected by this bug
getCRUCLdata 0.1.7
CRAN release: 2017-06-26
Bug Fixes
- Fix bug where
rappdirs::user_config_dir()
was incorrectly used in place ofrappdirs::user_cache_dir()
getCRUCLdata 0.1.6
CRAN release: 2017-06-13
getCRUCLdata 0.1.5
CRAN release: 2017-04-07
Major Changes
create_CRU_stack()
andcreate_CRU_df()
now only work with locally available files. If you need to fetch and create a data frame or raster stack of the data, please use the new functions,get_CRU_stack()
andget_CRU_stack()
R >=3.2.0 now required
Data can be cached using either
get_CRU_stack()
orget_CRU_df()
for later use
Minor Changes
Improved documentation with examples on mapping and graphing and more detail regarding the data itself
Change the method in which files are downloaded to use
httr::GET()
Ingest data using
data.table::fread
to decrease the amount of time necessary to run the functionsFunctions check to see if data file(s) have already been downloaded during current R session, if so data file(s) are not requested for download again
Months are returned as a factor object in the tidy data frame