Package: modeldatatoo 0.3.0.9000

Emil Hvitfeldt

modeldatatoo:More Data Sets Useful for Modeling Examples

More data sets used for demonstrating or testing model-related packages are contained in this package. The data sets are downloaded and cached, allowing for more and bigger data sets.

Authors:Emil Hvitfeldt [aut, cre], Posit Software, PBC [cph, fnd]

modeldatatoo_0.3.0.9000.tar.gz
modeldatatoo_0.3.0.9000.zip(r-4.5)modeldatatoo_0.3.0.9000.zip(r-4.4)modeldatatoo_0.3.0.9000.zip(r-4.3)
modeldatatoo_0.3.0.9000.tgz(r-4.4-any)modeldatatoo_0.3.0.9000.tgz(r-4.3-any)
modeldatatoo_0.3.0.9000.tar.gz(r-4.5-noble)modeldatatoo_0.3.0.9000.tar.gz(r-4.4-noble)
modeldatatoo_0.3.0.9000.tgz(r-4.4-emscripten)modeldatatoo_0.3.0.9000.tgz(r-4.3-emscripten)
modeldatatoo.pdf |modeldatatoo.html
modeldatatoo/json (API)
NEWS

# Installmodeldatatoo in R:
install.packages('modeldatatoo',repos = c('https://tidymodels.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/tidymodels/modeldatatoo/issues

Datasets:

On CRAN:

10 exports 7 stars 1.86 score 29 dependencies 199 downloads

Last updated 3 months agofrom:9bdbe3c06d

Exports:attach_small_fine_foodsdata_animalsdata_building_complaintsdata_chimiometrie_2019data_detectorsdata_elevatorsdata_hotel_ratesdata_pharma_bioreactorsdata_taxiinternal_board

Dependencies:askpassclicurldigestellipsisfansifsgenericsgluehttrjsonlitelifecyclemagrittrmimeopensslpillarpinspkgconfigpurrrR6rappdirsrlangsystibbleutf8vctrswhiskerwithryaml

Readme and manuals

Help Manual

Help pageTopics
NYC Building Complaintsbuilding_complaints
animals data setdata_animals
NYC Building Complaintsdata_building_complaints
Chimiometrie 2019 Data Setdata_chimiometrie_2019
Predictions from GPT Detectorsdata_detectors
elevators data setdata_elevators
Daily Hotel Rate Datadata_hotel_rates
Pharmaceutical manufacturing monitoring data setdata_pharma_bioreactors
Chicago taxi data setdata_taxi
Internal pins boardinternal_board
small_fine_foods data setsattach_small_fine_foods small_fine_foods testing_data training_data