ascentTraining-package | Ascent Training Datasets |
ascentTraining | Ascent Training Datasets |
auto_mpg | Auto MPG Data Set |
bbc_articles | BBC articles data |
bbc_articles_full | Full BBC Articles data |
bbc_business_123 | BBC Business article data |
bbc_politics_123 | BBC Politics article data |
body_image | Body image dataset |
book_sections | Gutenberg Project books dataset |
boston | Boston housing dataset |
breast_cancer | Wisconsin Diagnostic Breast Cancer (WDBC) |
breast_cancer_clean_features | Wisconsin Breast Cancer Database |
breast_cancer_clean_target | Wisconsin Breast Cancer Database |
carriers | Carrier data |
commute | R For Data Science tidytuesday commute dataset |
demoData | Demographics data |
demo_data | Demographics data |
dowJonesData | Dow Jones Index Data |
dow_jones_data | Dow Jones Index Data |
drugs | Repeated Measures Drug data |
emaxData | Data that can be used to fit or plot Emax models |
emax_data | Data that can be used to fit or plot Emax models |
emax_fun | Function to calculate Emax |
logistic_fun | Function to fit logistic model |
messyData | Messy clinical trial data |
messy_data | Messy clinical trial data |
missingPk | Clinical trial data |
missing_pk | Clinical trial data |
pkData | Typical PK data |
pk_data | Typical PK data |
policyData | Insurance Policy Data |
policy_data | Insurance Policy Data |
qtpk2 | Typical PK data |
runData | An example of NONMEM run data |
run_data | An example of NONMEM run data |
students | Students simulated data |
tubeData | London Tube Performance data |
tube_data | London Tube Performance data |
xpData | Typical NONMEM data |
xp_data | Typical NONMEM data |
x_iris | Iris predictors data for Species classification |
y_iris | Iris class data for Species classification |