schola_barplot: Plot standard Schola likert-like barplot with groupwise...

View source: R/barplot.R

schola_barplotR Documentation

Plot standard Schola likert-like barplot with groupwise comparison per items

Description

[Maturing]

TODO description...

Usage

schola_barplot(
  .data,
  vars,
  group,
  dict = dict_from_data(.data),
  escape_level = "nevĂ­m",
  n_breaks = 11,
  desc = TRUE,
  labels = TRUE,
  min_label_width = 0.09,
  absolute_counts = TRUE,
  fill_cols = NULL,
  fill_labels = waiver(),
  facet_label_wrap = 115,
  reverse = FALSE,
  order_by = "chi-square differences",
  drop = FALSE,
  drop_na = TRUE,
  ...
)

Arguments

.data

data with items and group variable

vars

vector of items, supports tidyselect syntax (i.e, non-standard evaluation)

group

group variable used to split the results, have to be logical, where TRUE is gonna be considered as "focal" group and displayed as upper group with full opacity. Supports tidyselect syntax.

dict

item code-label dictionary, if none provided, those are derived from the data.

escape_level

character, level of item response considered as NA

n_breaks

number of breaks displayed at x-axis, outer labels are automatically aligned to face inward. Defaults to 11, which results in 10% wide breaks.

desc

sor items in descending order?

labels

draw labels?

min_label_width

smallest percentage (0-1) to display in the plot, proportions larger than this value are shown, smaller are not.

absolute_counts

draw labels and absolute counts in parentheses?

fill_cols

colors to be used for item categories, defaults to NULL, meaning standard RdYlBu palette will be used

fill_labels

character vector or function taking breaks and returning labels for fill aesthetic

facet_label_wrap

width of facet label to wrap

reverse

if TRUE, reverse colors

order_by

how to order the items. chi-square differences (default) computes chi-square test for every item and sort them by largest X2 statistic to smallest (if desc = TRUE)

drop

Drop unobserved levels form the legend? Defaults to FALSE. See ggplot2::discrete_scale for more details.

drop_na

Drop NAs from every item (a.k.a. "pairwise")? Defaults to TRUE. Note that the number of observations per item may differ, because NA in one item does not mean the respondent row is discarded completely (listwise).

...

Arguments passed on to fct_nanify

negate

logical, whether to return non-matching elements. Defaults to FALSE.

ignore_case

logical, ignore case when matching? Defaults to TRUE.

Details

TODO details...

Value

object of class "gg", "ggplot"

See Also

Other Making charts: flush_axis, plot_lollipop(), prepare_lollipop_data(), theme_schola()


scholaempirica/reschola documentation built on May 14, 2022, 8:38 a.m.