Package: moderndive 0.7.0.9000

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:Albert Y. Kim [aut, cre], Chester Ismay [aut], Andrew Bray [ctb], Delaney Moran [ctb], Evgeni Chasnovski [ctb], Will Hopper [ctb], Benjamin S. Baumer [ctb], Marium Tapal [ctb], Wayne Ndlovu [ctb], Catherine Peppers [ctb], Annah Mutaya [ctb], Anushree Goswami [ctb], Ziyue Yang [ctb], Clara Li [ctb], Caroline McKenna [ctb], Catherine Park [ctb], Abbie Benfield [ctb], Georgia Gans [ctb], Kacey Jean-Jacques [ctb], Swaha Bhattacharya [ctb], Vivian Almaraz [ctb], Elle Jo Whalen [ctb], Jacqueline Chen [ctb], Michelle Flesaker [ctb], Irene Foster [ctb], Aushanae Haller [ctb], Benjamin Bruncati [ctb], Quinn White [ctb], Tianshu Zhang [ctb], Katelyn Diaz [ctb], Rose Porta [ctb], Renee Wu [ctb], Arris Moise [ctb], Kate Phan [ctb], Grace Hartley [ctb], Silas Weden [ctb], Emma Vejcik [ctb], Nikki Schuldt [ctb], Tess Goldmann [ctb], Hongtong Lin [ctb], Alejandra Munoz [ctb], Elina Gordon-Halpern [ctb], Haley Schmidt [ctb]

moderndive_0.7.0.9000.tar.gz
moderndive_0.7.0.9000.zip(r-4.5)moderndive_0.7.0.9000.zip(r-4.4)moderndive_0.7.0.9000.zip(r-4.3)
moderndive_0.7.0.9000.tgz(r-4.4-any)moderndive_0.7.0.9000.tgz(r-4.3-any)
moderndive_0.7.0.9000.tar.gz(r-4.5-noble)moderndive_0.7.0.9000.tar.gz(r-4.4-noble)
moderndive_0.7.0.9000.tgz(r-4.4-emscripten)moderndive_0.7.0.9000.tgz(r-4.3-emscripten)
moderndive.pdf |moderndive.html
moderndive/json (API)
NEWS

# Install 'moderndive' in R:
install.packages('moderndive', repos = c('https://moderndive.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/moderndive/moderndive/issues

Datasets:

On CRAN:

11.35 score 87 stars 1.8k scripts 3.8k downloads 1 mentions 12 exports 52 dependencies

Last updated 1 months agofrom:d787a1970a. Checks:OK: 3 NOTE: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 09 2024
R-4.5-winOKNov 09 2024
R-4.5-linuxOKNov 09 2024
R-4.4-winNOTENov 09 2024
R-4.4-macNOTENov 09 2024
R-4.3-winNOTENov 09 2024
R-4.3-macNOTENov 09 2024

Exports:%>%geom_categorical_modelgeom_parallel_slopesget_correlationget_regression_pointsget_regression_summariesget_regression_tablegg_parallel_slopespop_sdrep_sample_nrep_slice_sampletidy_summary

Dependencies:backportsbroomclicolorspacecpp11dplyrevaluatefansifarverformula.toolsgenericsggplot2gluegtablehighrhmsinferisobandjanitorknitrlabelinglatticelifecyclelubridatemagrittrMASSMatrixmgcvmunsellnlmeoperator.toolspatchworkpillarpkgconfigpurrrR6RColorBrewerrlangscalessnakecasestringistringrtibbletidyrtidyselecttimechangeutf8vctrsviridisLitewithrxfunyaml

moderndive: Datasets and functions for tidyverse-friendly introductory linear regression

Rendered frommoderndive.Rmdusingknitr::rmarkdownon Nov 09 2024.

Last update: 2022-05-13
Started: 2021-06-04

Take a moderndive into introductory linear regression with R

Rendered frompaper.Rmdusingknitr::rmarkdownon Nov 09 2024.

Last update: 2021-07-22
Started: 2021-07-09

Readme and manuals

Help Manual

Help pageTopics
Alaska flights dataalaska_flights
Chocolate-covered almonds dataalmonds_bowl
Chocolate-covered almonds data sample of size 25almonds_sample
Chocolate-covered almonds data sample of size 100almonds_sample_100
Sample of Amazon booksamazon_books
Avocado Prices by US Regionavocados
Data on maternal smoking and infant healthbabies
A sampling bowl of red and white ballsbowl
Tactile sample of size 50 from a bowl of ballsbowl_sample_1
Sampling from a bowl of ballsbowl_samples
Coffee Quality Datasetcoffee_quality
Data from the Coffee Quality Institute's review pages in January 2018coffee_ratings
Dunkin Donuts vs StarbucksDD_vs_SB
Early January hourly weather data for 2023early_january_2023_weather
Early January hourly weather dataearly_january_weather
Envoy Air flights data for 2023envoy_flights
Electric vehicle charging sessions for a workplace charging programev_charging
Teaching evaluations at the UT Austinevals
Regression model with one categorical explanatory/predictor variablegeom_categorical_model
Parallel slopes regression modelgeom_parallel_slopes
Get correlation value in a tidy wayget_correlation
Get regression pointsget_regression_points
Get regression summary valuesget_regression_summaries
Get regression tableget_regression_table
Plot parallel slopes modelgg_parallel_slopes
House Sales in King County, USAhouse_prices
International Power Lifting Results A subset of international powerlifting results.ipf_lifts
Massachusetts Public High Schools DataMA_schools
Massachusetts 2020 vs. 2019 Traffic Data Comparisonma_traffic_2020_vs_2019
Data from Mario Kart Ebay auctionsmario_kart_auction
2020 road traffic volume and crash level date for 13 Massachusetts countiesmass_traffic_2020
moderndive - Tidyverse-Friendly Introductory Linear Regressionmoderndive-package moderndive
Random sample of 68 action and romance moviesmovies_sample
Data from Mythbusters' study on contagiousness of yawningmythbusters_yawn
Old Faithful Eruptions Dataset (2024)old_faithful_2024
A random sample of 40 pennies sampled from the 'pennies' data frameorig_pennies_sample
A population of 800 pennies sampled in 2011pennies
Bootstrap resamples of a sample of 50 penniespennies_resamples
A sample of 50 penniespennies_sample
Calculate Population Standard Deviationpop_sd
Bank manager recommendations based on (binary) genderpromotions
One permutation/shuffle of promotionspromotions_shuffled
House Prices and Properties in Saratoga, New Yorksaratoga_houses
Spotify 52-Track Sample Datasetspotify_52_original
Spotify 52-Track Sample Dataset with 'popular or not' shuffledspotify_52_shuffled
Spotify by Genre Datasetspotify_by_genre
Tactile sampling from a tub of ballstactile_prop_red
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.tidy_summary
UN Member States 2024 Datasetun_member_states_2024