NEWS.md
broom reverse dependency issue https://github.com/moderndive/moderndive/issues/128
early_january_weather consisting of January subset of nycflights13::weather
coffee_quality dataset: 1340 samples of coffee tested for their quality levelamazon_books dataset: sample of books available for purchase on Amazon.comipf_lifts consisting of international power lifting resultsbabies on maternal smoking and infant healthev_charging: information from 3,395 high resolution electric vehicle charging sessions.ma_traffic_2020_vs_2019 consisting of collisions information sourced from reports produced by the Massachusetts Traffic Data Management System.mass_traffic_2020 consisting of traffic data for 13 Massachusetts countiesmario_kart_auction datasetavocados consisting of avocado prices dataset downloaded from the Hass Avocado Board website in May of 2018.saratoga_houses random sample of 1057 houses taken from full Saratoga Housing Data.alaska_flights consisting of Alaska Airlines subset of nycflights13::flights
conf.level argument to get_regression_table() inherited from broom::tidy.lm()
vignettes/paper.md
pkgdown and covr issues, defragged documentation.vignettes/why-moderndive.Rmd main vignettegeom_parallel_slopes() with new arguments:
fullrange=TRUE to draw regression lines over the entire support of the x-axis (by @wjhopper)level to set different level of confidence interval shading (by @echasnovski)geom_categorical_model() for visualizing regression models with one categorical explanatory/predictor variable (by @wjhopper)gg_parallel_slopes() directing users to use geom_parallel_slopes() instead (by @mariumtapal)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.geom_parallel_slopes() to “Why moderndive?” vignettepennies_resamples data frame columnsget_correlation() now:
dplyr::group_by() groupingna.rm = TRUE argument or by passing standard stats:cor(use = "complete.obs") argument via ...
gg_parallel_slopes(). In the future we hope to define a new ggplot2 geom.moderndive?” vignetteget_regression_points() to return a column that identifies the observational units/rowsDD_vs_SB: Dunkin Donuts and Starbucks in Eastern Massachusetts data collected by @DelaneyMoranpromotions: tibble version of openintro::gender.discrimination used to illustrate permutation test.MA_schools: Relationship between SAT scores and socio-economic status for Massachusetts high schools.mythbusters_yawn: Data from study on Mythbusters show on whether yawning ispromotions_shuffled: one instance of promotions with gender permuted/shuffledpennies_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.pennies_resamples: 35 bootstrap resamples of new pennies_sample
movies_genre: random sample of 32 action and 36 romance movies from ggplot2movies::moviesassertive::assert() codehouse_prices$date from dttm (date-time) to date per R4DS comment on using simplest data type possibleUpdated package for:
evals and house_prices datasets and updated get_regression_table() and get_regression_points() functions.Details:
get_correlation() function to omit $ syntax and return a data frameinfer::rep_sample_n() instead of our own defined version, as this function is now included in infer
evals, house_prices, tactile_prop_red, pennies_sample and mythbusters_yawn datasetsget_regression_summaries()
newdata argument to get_regression_points(). When:
newdata, output it as well as residual (See Issue 17).residual
tidyverse from Depends, Imports, or SuggestsFixed broken url in ?bowl_samples
get_regression_* functions meant for novice R users/regression fitters that process regression model outputspennies: 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]