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almonds_bowl and almonds_sample_100
data for upcoming ModernDive v2 updates to Inference chaptersearly_january_2023_weather and
envoy_flights data for upcoming ModernDive v2 updates
derived from data in the nycflights23 packagebroom reverse dependency issue https://github.com/moderndive/moderndive/issues/128early_january_weather consisting of January
subset of nycflights13::weathercoffee_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::flightsconf.level argument to
get_regression_table() inherited from
broom::tidy.lm()vignettes/paper.mdpkgdown 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_samplemovies_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
inferevals, 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).residualtidyverse 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]These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.