download_boundaries
patch (#138) for pause when
downloading survey boundaries. Set default sleep to 5 seconds to avoid
timeout.available_datasets
patch (#131) for new version of
qdapRegex
on CRANmodel_datasets
with
rdhs::model_datasets
to avoid errors if rdhs
namespace is not loaded.available_datasets
patch (#115)Remove class "dhs_dataset"
from downloaded micro
data sets. This class is not anywhere and it creates an error for
dplyr_v1.0.
Cached datasets will need to be re-downloaded after updating to clear the dhs_dataset clas.
Replace readLines()
with
brio::read_lines()
to make parsers robust to Windows
encoding issues (similar to
https://stackoverflow.com/questions/18789330/r-on-windows-character-encoding-hell).
Use "sf"
as default download method for
download_boundaries(..., method = "sf")
. Add arguments
quiet_download
and quiet_parse = TRUE
to
download_boundaries()
. quiet_download
(default
FALSE
) controls download.file()
messages.
quiet_parse
(default TRUE
) controls messages
from sf::st_read()
when
method = "sf"
.
download_boundaries
for downloading spatial
boundaries using (#71)dhs_gps_data_format
for DHS GPS Information
(#74)unzip_special
correctly detects 4Gb files (#43)delabel_df
for converting labelled data frames to
characters (#54)extraction(add_geo=TRUE)
correction for Kenya 2014
surveys (#67)New as_factor.labelled
for backward compatibility
with haven <2.0.0
labelled
classes.
model_datasets
now internal and exported dataset
(#60).
New vignettes: country_codes
Documentation typos corrected (#55)
New set_rdhs_config
for providing login credentials.
This deprecates set_dhs_credentials
.
New get_rdhs_config
shows the credentials currently
used by rdhs
Permissionn from user now required for file saving.
API requests can now ignore any cached responses
(force = TRUE
) argument (#23):
<- dhs_countries(force = TRUE) dat
get_datasets(clear_cache = TRUE)
will clear the
cached available datasets, enabling newly requested datasets to be
downloaded (@kaisero,
#29).
geojson objects can now be requested from the API so that you can return geojson objects for mapping purposes (#28) e.g. :
<- dhs_data(countryIds = "SN", surveyYearStart = 2014,
d breakdown = "subnational", returnGeometry = TRUE,
f = "geojson")
# convert to spatial object
<- geojsonio::as.json(d) %>% geojsonio::geojson_sp sp
dhs_data()
, dhs_countries()
and other
API functions (dhs_x()
).authenticate_dhs()
now works with short project
names.New vignettes: anemia
New read_dhs_flat()
for reading flat
datasets.