NEWS.md
as.data.frame.CM_list()
method now defaults to pivot.wider = TRUE, returning a wide-format data frame.as.data.frame.CM_list()
method has a validation line to only coerce to data.frame objects with more than 1 data point.as.data.frame.CM_list()
method, improving code clarity and reusability
.replace_multichoice_codes()
.handle_geolocation_columns()
.replace_rankings()
.decode_assessments()
.merge_package_info()
.clean_column_names()
.drop_odk_system_fields()
.reorder_columns()
.safe_extract()
as.data.frame.CM_list()
tidynames = TRUE, producing more consistent and informative names..set_long()
when pivot.wider = TRUE.project
, package
, registration
, and assessments).getProjectsCM()
adds a new variable in the output project_code
that will represent the previous project_id
. The new variable project_id
will represent the id from the ClimMob server database not the id from the user list of projects..smart.round()
to handle NA
in the randomize()
functionrandomize()
to allocate blocksgetTraitList()
getProjectsCM()
to adapt to the new version of ClimMobuserowner =
to getDataCM()
to specify the owner of a given ClimMob projectgetProjectsCM()
randomise()
to check for unbalanced designsrandomise()
deals with unbalanced proportions of technologies, meaning that we can test a whole set of technologies even when not all have equal availabilityrmGeoIdentity()
is added to offer an approach to remove geographical identity of participantsrankTricot()
builds a PlackettLuce rankings using the tricot datagetProjectProgress()
returns the progress in a given projectas.data.frame()
now handles ClimMob data without the assessment info.as.data.frame()
decodes values from categorical variablesas.data.frame()
decodes ties in the ranking datahttr::RETRY()
instead of httr::GET()
as suggested by Anna Vasylytsyaprint()
method is addedserver
getDataCM()
, getProjectCM()
, randomise()
and seed_need()
as.data.frame()
is provided to coerce CM_list into a data frame