moderndive 0.8.0

• View() now renders correctly inside webR (the in-browser R that powers the ModernDive book’s live exercises). webR has no pandoc, so a DT::datatable() htmlwidget cannot be saved as the self-contained HTML the cell needs (DT::saveWidget() errors), and the auto-print path is gated by interactive() being FALSE. In webR, View() now builds a self-contained static HTML table and pushes it through webR’s viewer hook, so the data displays inline instead of only printing the explanatory message. Outside webR the DT::datatable() behaviour is unchanged.
• Fix issue #58
• Add in unit tests to bring test coverage back to 100%
• get_regression_points() and get_regression_summaries() now handle in-formula transformations on either side of the model formula (e.g. lm(log(y) ~ poly(x, 2))). LHS transforms previously errored; they now produce a sanitized outcome column on the model’s scale (e.g. log_mpg, log_mpg_hat). RHS transforms no longer leak basis matrices or wrapper columns (poly() matrix columns, scale(), I()) into the points table; the original predictor variable is shown instead. The .rownames column is no longer leaked into the output.
• get_regression_table(), get_regression_points(), and get_regression_summaries() now accept glm() model objects (resolves issue #20). For glm() models, get_regression_points() returns fitted values and residuals on the response scale (e.g. probabilities for logistic regression). get_regression_summaries() returns a glm-shaped summary (mse, rmse, deviance, null_deviance, aic, bic, log_lik, df_residual, df_null, nobs) — R² columns are not included since they don’t apply to glm. get_regression_table() gains an exponentiate argument (default FALSE) for returning odds/rate ratios for log/logit-link models.
• Internal: factor-level pretty-printing in get_regression_table() is now applied to the tidy output’s term column rather than model$coefficients names, which avoids breaking confint.glm’s profile-likelihood refits.
• Drop redundant @docType package tag from R/moderndive.R (resolves issue #133). The "_PACKAGE" sentinel was already in place, so the moderndive-package alias is generated correctly.
• Fix pennies_resamples so the replicate column is correctly numbered 1..35 instead of being uniformly 1 (resolves issue #130). The bug was an ungroup() missing in the data-raw/process_data_sets.R pipeline, so mutate(replicate = 1:n()) ran per-group on a single-row nested tibble. The dataset has been regenerated; row count and structure are otherwise unchanged.
• New View() wrapper (resolves issue #99). In an interactive R session it behaves identically to utils::View(). In non-interactive contexts (R Markdown, Quarto, scripts) where utils::View() typically errors, it instead renders an interactive DT::datatable() inline so documents can still knit/render. DT is now in Imports. A short packageStartupMessage() is emitted only on non-interactive attach to explain the override; interactive sessions see no extra message. Attaching moderndive masks utils::View. For large data frames the inline DT::datatable() is slow and warns that the data is too big for a client-side table, so in non-interactive contexts View() now shows a random sample of n rows (default 1000) when x is larger, emitting a message that says so. New arguments n (sample size), full = FALSE (set TRUE to show every row), seed (reproducible sample), and quiet = FALSE (silence the message) control this; the sample never disturbs the caller’s RNG stream, and the interactive utils::View() path is unchanged.
• Documentation examples now use moderndive datasets instead of base R / ggplot2 ones. View(), get_correlation(), get_regression_table(), get_regression_points(), get_regression_summaries(), plot_3d_regression(), and the package-level overview now use un_member_states_2024 (with life_expectancy_2022 ~ gdp_per_capita-style models). geom_categorical_model() now uses evals (score ~ rank) instead of ggplot2::mpg (hwy ~ drv).
• _pkgdown.yml: site url: now includes the https:// scheme so pkgdown::check_pkgdown() matches it against the URL listed in DESCRIPTION.
• README: added descriptive alt text to the hex-sticker image.
• get_correlation() now accepts multiple right-hand-side variables in the formula (e.g. mpg ~ hp + cyl + wt) (resolves issue #29). The default output is a long tibble with one row per predictor; pass wide = TRUE for one column per predictor. Single-RHS behavior is unchanged. A one-time message points users to corrr::correlate() if they want a full pairwise correlation matrix; suppress it with quiet = TRUE.
• New plot_3d_regression() function for interactive 3D scatterplots with a fitted regression plane (resolves issue #27). Pass a formula z ~ x + y and the function returns a [plotly][plotly::plotly] htmlwidget. plotly is in Suggests; install it with install.packages("plotly") to use this function.

moderndive 0.7.0

• Added un_member_states_2024 data for upcoming ModernDive v2 updates
• Added spotify_by_genre data for upcoming ModernDive v2 updates
• Added tidy_summary() function to summarize data frame columns for upcoming ModernDive v2 updates
• Added old_faithful_2024 data for upcoming ModernDive v2 updates
• Added coffee_quality data for upcoming ModernDive v2 updates
• Added almonds_sample data for upcoming ModernDive v2 updates

moderndive 0.6.1

• Added almonds_bowl and almonds_sample_100 data for upcoming ModernDive v2 updates to Inference chapters
• Added early_january_2023_weather and envoy_flights data for upcoming ModernDive v2 updates derived from data in the nycflights23 package

moderndive 0.5.5

• Addressing broom reverse dependency issue https://github.com/moderndive/moderndive/issues/128

moderndive 0.5.4

• Added early_january_weather consisting of January subset of nycflights13::weather
• Added 10 datasets curated by @wjhopper @lacombe129 and @sastoudt for ideal use in intro statistics courses (@beanumber and @mariumtapal did preliminary pull request management and code reviews)
  1. @statsmed-sheep @caroline-mckenna @zyang2k @CJParkNW added coffee_quality dataset: 1340 samples of coffee tested for their quality level
  2. @abbidabbers @georgiagans @kaceyjj added amazon_books dataset: sample of books available for purchase on Amazon.com
  3. @ewhalen1 @vivala1 @Swaha294 @CCccc-76 added ipf_lifts consisting of international power lifting results
  4. @i-m-foster @mflesaker @ajhaller added babies on maternal smoking and infant health
  5. @tianshu-zhang @q-w-a @kbruncati @katelyndiaz added ev_charging: information from 3,395 high resolution electric vehicle charging sessions.
  6. @rwu08 @arrismo @rporta23 @katephan added ma_traffic_2020_vs_2019 consisting of collisions information sourced from reports produced by the Massachusetts Traffic Data Management System.
  7. @amutaya @catherinepeppers @agoswa @wndlovu added mass_traffic_2020 consisting of traffic data for 13 Massachusetts counties
  8. @shirleyzhang-1999 @hartlegr @silasweden added mario_kart_auction dataset
  9. @heschmidt @evejcik @tessgold @nikkischuldt added avocados consisting of avocado prices dataset downloaded from the Hass Avocado Board website in May of 2018.
  10. @hongtonglin @alejanmg @egordonhalpern added saratoga_houses random sample of 1057 houses taken from full Saratoga Housing Data.

moderndive 0.5.3

• Added alaska_flights consisting of Alaska Airlines subset of nycflights13::flights

moderndive 0.5.2

• Changed printing of non-baseline categorical variable levels in regression table to be cleaner #102
• Added explicit conf.level argument to get_regression_table() inherited from broom::tidy.lm()
• Improved main package vignette based on feedback from @lwjohnst86 & @lisamr
• Added JOSE publication in vignettes/paper.md
• Fixed pkgdown and covr issues, defragged documentation.

moderndive 0.5.1

• Use vdiffr conditionally

moderndive 0.5.0

• Modified vignettes/why-moderndive.Rmd main vignette
• Updated geom_parallel_slopes() with new arguments:
  • Use fullrange=TRUE to draw regression lines over the entire support of the x-axis (by @wjhopper)
  • Use level to set different level of confidence interval shading (by @echasnovski)
• Added new function geom_categorical_model() for visualizing regression models with one categorical explanatory/predictor variable (by @wjhopper)
• Add deprecation warning message to gg_parallel_slopes() directing users to use geom_parallel_slopes() instead (by @mariumtapal)

moderndive 0.4.0

• Added geom_parallel_slopes() geom extension to ggplot2 package to plot parallel slopes regression models with one numerical and one categorical variable (this is not possible using ggplot2::geom_smooth()). Note this renders gg_parallel_slopes() function added in v0.3.0 obsolete.
• Added example of geom_parallel_slopes() to “Why moderndive?” vignette
• Added student names (permission obtained in all cases) to pennies_resamples data frame columns
• get_correlation() now:
  • Respects dplyr::group_by() grouping
  • Can handle missing data by either passing na.rm = TRUE argument or by passing standard stats:cor(use = "complete.obs") argument via ...

moderndive 0.3.0

• Added minimally viable “parallel slopes” regression model plotting function gg_parallel_slopes(). In the future we hope to define a new ggplot2 geom.
• Added “Why moderndive?” vignette
• Added ID argument to get_regression_points() to return a column that identifies the observational units/rows
• Datasets:
  • Added DD_vs_SB: Dunkin Donuts and Starbucks in Eastern Massachusetts data collected by @DelaneyMoran
  • Added promotions: tibble version of openintro::gender.discrimination used to illustrate permutation test.
  • Added MA_schools: Relationship between SAT scores and socio-economic status for Massachusetts high schools.
  • Added mythbusters_yawn: Data from study on Mythbusters show on whether yawning is
  • Added promotions_shuffled: one instance of promotions with gender permuted/shuffled
  • Original pennies_sample sample of 40 pennies from pennies has been renamed orig_pennies_sample. New pennies_sample consists of 50 pennies sampled from bank in Northampton, MA, USA on 2019/2/1.
  • Added pennies_resamples: 35 bootstrap resamples of new pennies_sample
  • Added movies_genre: random sample of 32 action and 36 romance movies from ggplot2movies::movies
    
• Removed all assertive::assert() code
• Converted house_prices$date from dttm (date-time) to date per R4DS comment on using simplest data type possible

moderndive 0.2.0

Updated package for:

• Use in DataCamp’s Modeling with Data in the Tidyverse, in particular added evals and house_prices datasets and updated get_regression_table() and get_regression_points() functions.
• v0.4.0 of ModernDive textbook

Details:

• Created get_correlation() function to omit $ syntax and return a data frame
• Import infer::rep_sample_n() instead of our own defined version, as this function is now included in infer
• Added evals, house_prices, tactile_prop_red, pennies_sample and mythbusters_yawn datasets
• Added mean squared error and root mean squared error to output of get_regression_summaries()
• Added newdata argument to get_regression_points(). When:
  • Original outcome variable is included in newdata, output it as well as residual (See Issue 17).
  • Otherwise omit residual
• Removed tidyverse from Depends, Imports, or Suggests

moderndive 0.1.1

Fixed broken url in ?bowl_samples

moderndive 0.1.0

• Added three get_regression_* functions meant for novice R users/regression fitters that process regression model outputs
• Added datasets:
  • pennies: 800 pennies to be treated as a population from which to simulate sampling a numerical variable from (year of minting)
  • bowl: Bowl of 2400 balls of which 900 are red to be treated as a population from which to simulate sampling a categorical variable from (color). Also known as the urn sampling framework .
  • bowl_samples: data from tactile version of sampling from bowl done in class: 10 groups sampled n=50 balls from and counted the number red [ADD MODERNDIVE LINK]