A B C D E F G H L M N O P R S T U W Z
AAUP | 1984 salaries in various professional fields |
add_plot_labels | Convenience function for adding labels to point_plot or others without needing the ggplot2 + pipe. |
add_slope_rose | Add a slope "rose" to a plot. |
add_violin_ruler | Add a slope "rose" to a plot. |
anova_summary | Summaries of regression models |
Anthro_F | Anthropometric data from college-aged women |
bernoulli | Helpers for specifying nodes in simulations |
Big | Short, simple data frames for textbook examples |
Birdkeepers | Birdkeeping and Lung Cancer |
Births2022 | Records on births in the US in 2022 |
block_by | Helpers for specifying nodes in simulations |
Boston_marathon | Winning times in the Boston Marathon |
Butterfly | World records in the 100 & 200 m butterfly swim |
Calif_precip | Annual precipitation in California locations |
Callback | Resume Experiment Data |
cat2value | Helpers for specifying nodes in simulations |
categorical | Helpers for specifying nodes in simulations |
Clock_auction | Data from McClave-Sincich _Statistics_ 11/e |
College_grades | Grades at a small college |
conf_interval | Summaries of regression models |
dag_draw | Draw a DAG |
datasim_intervene | Construct and modify data simulations |
datasim_make | Construct and modify data simulations |
datasim_run | Run a datasim simulation, producing a data frame |
datasim_to_igraph | Construct and modify data simulations |
Dowsing | Data from McClave-Sincich _Statistics_ 11/e |
each | Helpers for specifying nodes in simulations |
Econ_outlook_poll | SIMULATED data from an economic outlook poll |
explanatory_vars | Utilities |
FARS | Annual summaries concerning motor-vehicle related fatalities in the US#' |
FEV | Smoking and lung function among youths |
formula_from_mod | Utilities |
Framingham | Data from the Framingham heart study |
Geography_journals | Data from McClave-Sincich _Statistics_ 11/e |
Germany1933vote | Voting patterns in the 1933 German national election |
get_training_data | Utilities |
Gilbert | Data from the trial of serial killer Kristen Gilbert |
Go_vote | Get out the vote experiment |
Gradepoint | Sample from a college registrar's database |
Grades | Sample from a college registrar's database |
Hill_racing | Winning times in Scottish Hill races, 2005-2017 |
label_zero_one | Zero-one transformation for categorical variable |
McClave_Sincich | Data from McClave-Sincich _Statistics_ 11/e |
McCredie_Kurtz | "Big Five" personality ratings for college first-year students |
mix_with | Helpers for specifying nodes in simulations |
model_eval | Evaluate a model on inputs |
model_eval_fun | Helper functions to evaluate models |
model_family | Check model type against model specification and data |
model_plot | Graph a model function |
model_skeleton | Convert a model to a skeleton |
model_train | train a model, easily |
model_values | Construct a model and return the model values |
Monocacy_river | Data on run-off from the Monocacy river at Jug Bridge, Maryland. |
mosaic_cull_for_do | Cull objects used with do() |
MPG | Fuel economy measurements on US car models |
Names_and_race | Resume Experiment Data |
Nats | Short, simple data frames for textbook examples |
ntiles | Create vector based on roughly equally sized groups |
Offspring | Relative sizes offspring/parent for many species |
Orings | Space Shuttle O-Ring Failures |
Penguins | Body measurements on penguins |
PGA_index | Data from McClave-Sincich _Statistics_ 11/e |
PIDD | Pima Indians Diabetes Database |
point_plot | One-step data graphics |
print.datasim | Nice printing of some internal objects |
print.model_object | A printing method for model objects |
R2 | Summaries of regression models |
random_levels | Helpers for specifying nodes in simulations |
Registrar | Sample from a college registrar's database |
regression_summary | Summaries of regression models |
resample | Samples from various kinds of objects |
response_values | Utilities |
response_var | Utilities |
sample | Samples from various kinds of objects |
sample.default | Samples from various kinds of objects |
Sessions | Sample from a college registrar's database |
Shipping_losses | Shipping losses in 1941 in the Atlantic |
sim_00 | Simulations for use in _Lessons in Statistical Thinking_ |
sim_01 | Simulations for use in _Lessons in Statistical Thinking_ |
sim_02 | Simulations for use in _Lessons in Statistical Thinking_ |
sim_03 | Simulations for use in _Lessons in Statistical Thinking_ |
sim_04 | Simulations for use in _Lessons in Statistical Thinking_ |
sim_05 | Simulations for use in _Lessons in Statistical Thinking_ |
sim_06 | Simulations for use in _Lessons in Statistical Thinking_ |
sim_07 | Simulations for use in _Lessons in Statistical Thinking_ |
sim_08 | Simulations for use in _Lessons in Statistical Thinking_ |
sim_09 | Simulations for use in _Lessons in Statistical Thinking_ |
sim_10 | Simulations for use in _Lessons in Statistical Thinking_ |
sim_11 | Simulations for use in _Lessons in Statistical Thinking_ |
sim_12 | Simulations for use in _Lessons in Statistical Thinking_ |
sim_flights | Simulations for use in _Lessons in Statistical Thinking_ |
sim_medical_observations | Simulations for use in _Lessons in Statistical Thinking_ |
sim_objects | Simulations for use in _Lessons in Statistical Thinking_ |
sim_prob_21.1 | Simulations for use in _Lessons in Statistical Thinking_ |
sim_satgpa | Simulations for use in _Lessons in Statistical Thinking_ |
sim_school1 | Simulations for use in _Lessons in Statistical Thinking_ |
sim_school2 | Simulations for use in _Lessons in Statistical Thinking_ |
sim_vaccine | Simulations for use in _Lessons in Statistical Thinking_ |
split_tilde | Evaluate a tilde expression on a data frame |
STAR | STAR Project Data |
Tiny | Short, simple data frames for textbook examples |
trials | Run the left side of the pipeline multiple times. |
UCB_applicants | Roster of applicants to six major departments at UC Berkeley |
US_wildfires | Monthly tallies of wildfires in the US from 2000 to 2022 |
Wheat | Experimental data on the yield of winter wheat |
zero_one | Zero-one transformation for categorical variable |