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 (
}) before piping them to
dwplot()should no longer be used to change the width of confidence intervals; use
conf.int(to be passed to
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 analysed data (per
by_2sd()) by default. This may be changed by setting
by_2sd = FALSE.
add_brackets()that de-centered the brackets
dot_argsto be ignored after plots were passed to
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"!
ggstancefunctions. The new
dwplotallows cooperating with more
ggplotfunctions, such as
relabel_predictorsnow accepts plots as well as tidy dataframes as input; that is, it may now be used both before and after calls to
relabel_y_axis. It is easy to mistakenly mislabel variables with
relabel_y_axis, and it has a conflict with
add_bracketsin single-model plots.
More details about the new functions are available in the vignette.