moderndive-package |
moderndive - Tidyverse-Friendly Introductory Linear Regression |
alaska_flights |
Alaska flights data |
almonds_bowl |
Chocolate-covered almonds data |
almonds_sample |
Chocolate-covered almonds data sample of size 25 |
almonds_sample_100 |
Chocolate-covered almonds data sample of size 100 |
amazon_books |
Sample of Amazon books |
avocados |
Avocado Prices by US Region |
babies |
Data on maternal smoking and infant health |
bowl |
A sampling bowl of red and white balls |
bowl_samples |
Sampling from a bowl of balls |
bowl_sample_1 |
Tactile sample of size 50 from a bowl of balls |
coffee_quality |
Coffee Quality Dataset |
coffee_ratings |
Data from the Coffee Quality Institute's review pages in January 2018 |
DD_vs_SB |
Dunkin Donuts vs Starbucks |
early_january_2023_weather |
Early January hourly weather data for 2023 |
early_january_weather |
Early January hourly weather data |
envoy_flights |
Envoy Air flights data for 2023 |
evals |
Teaching evaluations at the UT Austin |
ev_charging |
Electric vehicle charging sessions for a workplace charging program |
geom_categorical_model |
Regression model with one categorical explanatory/predictor variable |
geom_parallel_slopes |
Parallel slopes regression model |
get_correlation |
Get correlation value in a tidy way |
get_regression_points |
Get regression points |
get_regression_summaries |
Get regression summary values |
get_regression_table |
Get regression table |
gg_parallel_slopes |
Plot parallel slopes model |
house_prices |
House Sales in King County, USA |
ipf_lifts |
International Power Lifting Results A subset of international powerlifting results. |
mario_kart_auction |
Data from Mario Kart Ebay auctions |
mass_traffic_2020 |
2020 road traffic volume and crash level date for 13 Massachusetts counties |
MA_schools |
Massachusetts Public High Schools Data |
ma_traffic_2020_vs_2019 |
Massachusetts 2020 vs. 2019 Traffic Data Comparison |
moderndive |
moderndive - Tidyverse-Friendly Introductory Linear Regression |
movies_sample |
Random sample of 68 action and romance movies |
mythbusters_yawn |
Data from Mythbusters' study on contagiousness of yawning |
old_faithful_2024 |
Old Faithful Eruptions Dataset (2024) |
orig_pennies_sample |
A random sample of 40 pennies sampled from the 'pennies' data frame |
pennies |
A population of 800 pennies sampled in 2011 |
pennies_resamples |
Bootstrap resamples of a sample of 50 pennies |
pennies_sample |
A sample of 50 pennies |
pop_sd |
Calculate Population Standard Deviation |
promotions |
Bank manager recommendations based on (binary) gender |
promotions_shuffled |
One permutation/shuffle of promotions |
saratoga_houses |
House Prices and Properties in Saratoga, New York |
spotify_52_original |
Spotify 52-Track Sample Dataset |
spotify_52_shuffled |
Spotify 52-Track Sample Dataset with 'popular or not' shuffled |
spotify_by_genre |
Spotify by Genre Dataset |
tactile_prop_red |
Tactile sampling from a tub of balls |
tidy_summary |
This function calculates the five-number summary (minimum, first quartile, median, third quartile, maximum) for specified numeric columns in a data frame and returns the results in a long format. It also handles categorical, factor, and logical columns by counting the occurrences of each level or value, and includes the results in the summary. The 'type' column indicates whether the data is numeric, character, factor, or logical. |
un_member_states_2024 |
UN Member States 2024 Dataset |