prediction)
issue.margins for the author would not maintain or
update it in the foreseeable future.Continue to removed the reference to broomExtra per
CRAN’s requirement (email on 2024-02-19)
broomExtra per CRAN’s
requirement (email on 2024-01-23)show_stats to dwplot
and small_multiple to show model fits beneath the plotdw_stats to extract model fits
from the model outputs.model_order accurately work when
relabel_predictors is used.model_order and
submodel_order in small_multiple to allow
customizing the order of models to present.axis_switch in
small_multiple to allow switching the positions of the
variable labels and y axis ticks.style = "distribution".
Thanks for Indrajee @IndrajeetPatil pointing that
out.model_order in dwplot to
allow customizing the order of models to present.fontSize in add_brackets
to allow customizing the font size of bracket labels, and opening
possibility for users to further customize bracket labels.parameters instead of broomExtra
as the plotting data frame creator. Thanks for the suggestion
from @IndrajeetPatil.dw_tidy engine to
broomExtra::tidy_parapmeter.margins::margins.by_2sd to FALSE.The vline argument is now available for
dwplot(). Passing a geom_vline() object to
this argument, typically one with xintercept = 0, will plot this line
behind the plotted coefficients, which most will find
aesthetically preferable. The default for this argument is
NULL, so if you prefer not to include such lines or just
like them plotted last and foremost, there’s no need to change your
code.
dwplot() now again accepts the
whisker_arg argument to change the appearance of the
whiskers representing the confidence intervals that has been lost since
v0.3.0. This means you can, for example, specify different
colors for the dots and the whiskers:
# load the library
library(dotwhisker)
#> Loading required package: ggplot2
# linear model of interest
lm_object <- stats::lm(formula = wt ~ am * cyl, data = mtcars)
# creating the plot with dwplot
dwplot(x = lm_object,
dot_args = list(color = "red"), # color for the dot
whisker_args = list(color = "black"), # color for the whisker
vline = ggplot2::geom_vline(xintercept = 0, # put vline _behind_ coefs
colour = "grey60",
linetype = 2,
size = 1))
Created on 2018-06-27 by the reprex package (v0.2.0).
add_brackets() that caused brackets to
overlap in large models or when many models were included in a single
plot.style = "distribution" in
the arguments to dwplot() presents regression coefficients
as normal distributions, underscored with a line representing the
desired confidence interval.relabel_predictors() now conveniently reorders
the predictors as well.add_brackets() can now be added directly to the end of
a chain of commands that generate a dotwhisker plot; the intermediate
object necessary in past versions is no longer needed. Just wrap the
plotting commands in braces ({ and }) before
piping them to add_brackets()!alpha argument to dwplot() should no
longer be used to change the width of confidence intervals; use
conf.int (to be passed to broom::tidy via
...) instead.dwplot() is passed model objects rather than a
tidy data frame, the regression coefficients are now rescaled by two
standard deviations of their respective variables in the analyzed data
(per by_2sd()) by default. This may be changed by setting
by_2sd = FALSE.add_brackets() that de-centered
the bracketsdot_args to be ignored
after plots were passed to relabel_predictors()small_multiple() from
directly reading confidence intervals from a model.by_2sd() now adjusts, if present, any
confidence intervals in tidy data frames passed to the function.Thanks to Steven V. Miller
and Ryan Burge for bug
reports, and to Ben Edwards and Jay Jacobs for
inspiring style = "distribution"!
ggstance
functions. The new dwplot allows cooperating with more
ggplot functions, such as facet_*.tidy.lm)
and confint.by_2sd.relabel_predictors.relabel_predictors.
relabel_predictors now accepts plots as well as tidy
dataframes as input; that is, it may now be used both before and after
calls to dwplot.relabel_y_axis. It is easy to mistakenly
mislabel variables with relabel_y_axis, and it has a
conflict with add_brackets in single-model plots.dwplot works for polr projects.small_multiple.dplyr::group_byshow_intercept argument.devtools
suggests.gridExtra.ggplot2.kl2007_example.Rmd.ggplot2 2.0.0.tidy
data.frame.secret_weapon and small_multiple.relabel_predictor
and relabel_y_axis.More details about the new functions are available in the vignette.