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 |