Summary | Statement of Need | Introduction | Regression analysis the "good old-fashioned" way | Regression analysis using moderndive | Bonus: Visualizing parallel slopes models with moderndive | Why should you use the moderndive package? | Features | 1. Less p-value stars, more confidence intervals | 2. Outputs as tibbles | 3. Birds of a feather should flock together: Fitted values & residuals | 4. A quick-and-easy Kaggle predictive modeling competition submission! | 5. Scalar summaries of linear regression model fits | 6. Plot parallel slopes regression models | The Details | Three wrappers to broom functions | Custom geometries | Author contributions | Acknowledgments | References
Package: moderndive 0.8.0.9001
Albert Y. Kim
moderndive: Tidyverse-Friendly Introductory Linear Regression
Datasets and wrapper functions for tidyverse-friendly introductory linear regression, used in "Statistical Inference via Data Science: A ModernDive into R and the Tidyverse" available at <https://moderndive.com/>.
Authors:
moderndive_0.8.0.9001.tar.gz
moderndive_0.8.0.9001.zip(r-4.7)moderndive_0.8.0.9001.zip(r-4.6)moderndive_0.8.0.9001.zip(r-4.5)
moderndive_0.8.0.9001.tgz(r-4.6-any)moderndive_0.8.0.9001.tgz(r-4.5-any)
moderndive_0.8.0.9001.tar.gz(r-4.7-any)moderndive_0.8.0.9001.tar.gz(r-4.6-any)
moderndive_0.8.0.9001.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
moderndive/json (API)
| # Install 'moderndive' in R: |
| install.packages('moderndive', repos = c('https://moderndive.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/moderndive/moderndive/issues
Pkgdown/docs site:https://moderndive.github.io
Datasets:
- 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_sample_1 - Tactile sample of size 50 from a bowl of balls
- bowl_samples - Sampling 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
- ev_charging - Electric vehicle charging sessions for a workplace charging program
- evals - Teaching evaluations at the UT Austin
- house_prices - House Sales in King County, USA
- ipf_lifts - International Power Lifting Results A subset of international powerlifting results.
- MA_schools - Massachusetts Public High Schools Data
- ma_traffic_2020_vs_2019 - Massachusetts 2020 vs. 2019 Traffic Data Comparison
- mario_kart_auction - Data from Mario Kart Ebay auctions
- mass_traffic_2020 - 2020 road traffic volume and crash level date for 13 Massachusetts counties
- 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
- 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
- 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
- un_member_states_2024 - UN Member States 2024 Dataset
Last updated from:98d7111a21. Checks:7 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | NOTE | 191 | ||
| source / vignettes | OK | 228 | ||
| linux-release-x86_64 | NOTE | 188 | ||
| macos-release-arm64 | NOTE | 111 | ||
| macos-oldrel-arm64 | NOTE | 116 | ||
| windows-devel | NOTE | 139 | ||
| windows-release | NOTE | 147 | ||
| windows-oldrel | NOTE | 120 | ||
| wasm-release | OK | 184 |
Exports:%>%geom_categorical_modelgeom_parallel_slopesget_correlationget_regression_pointsget_regression_summariesget_regression_tablegg_parallel_slopesplot_3d_regressionpop_sdrep_sample_nrep_slice_sampletidy_summaryView
Dependencies:backportsbase64encbroombslibcachemclicpp11crosstalkdigestdplyrDTevaluatefarverfastmapfontawesomeformula.toolsfsgenericsggplot2gluegtablehighrhmshtmltoolshtmlwidgetsinferisobandjanitorjquerylibjsonliteknitrlabelinglaterlazyevallifecyclelubridatemagrittrmemoisemimeoperator.toolsotelpatchworkpillarpkgconfigpromisespurrrR6rappdirsRColorBrewerRcpprlangrmarkdownS7sassscalessnakecasestringistringrtibbletidyrtidyselecttimechangetinytexutf8vctrsviridisLitewithrxfunyaml
moderndive: Datasets and functions for tidyverse-friendly introductory linear regression
Last update: 2022-05-13
Started: 2021-06-04
Take a moderndive into introductory linear regression with R
Summary | Statement of Need | Introduction | Regression analysis the "good old-fashioned" way | Regression analysis using moderndive | Repository README | Author contributions | Acknowledgments | References
Last update: 2021-07-22
Started: 2021-07-09
