Plot stacked proportional barsSource:
Plot items (variables) of a scale as stacked proportional bars. This function is useful when several items with identical scale/categoroies should be plotted to compare the distribution of answers.
plot_stackfrq( items, title = NULL, legend.title = NULL, legend.labels = NULL, axis.titles = NULL, axis.labels = NULL, weight.by = NULL, sort.frq = NULL, wrap.title = 50, wrap.labels = 30, wrap.legend.title = 30, wrap.legend.labels = 28, geom.size = 0.5, geom.colors = "Blues", show.prc = TRUE, show.n = FALSE, show.total = TRUE, show.axis.prc = TRUE, show.legend = TRUE, grid.breaks = 0.2, expand.grid = FALSE, digits = 1, vjust = "center", coord.flip = TRUE )
Data frame, or a grouped data frame, with each column representing one item.
character vector, used as plot title. Depending on plot type and function, will be set automatically. If
title = "", no title is printed. For effect-plots, may also be a character vector of length > 1, to define titles for each sub-plot or facet.
character vector, used as title for the plot legend.
character vector with labels for the guide/legend.
character vector of length one or two, defining the title(s) for the x-axis and y-axis.
character vector with labels used as axis labels. Optional argument, since in most cases, axis labels are set automatically.
Vector of weights that will be applied to weight all cases. Must be a vector of same length as the input vector. Default is
NULL, so no weights are used.
Indicates whether the
itemsshould be ordered by by highest count of first or last category of
to order ascending by lowest count of first category,
to order descending by lowest count of first category,
to order ascending by lowest count of last category,
to order descending by lowest count of last category,
(default) for no sorting.
numeric, determines how many chars of the plot title are displayed in one line and when a line break is inserted.
numeric, determines how many chars of the value, variable or axis labels are displayed in one line and when a line break is inserted.
numeric, determines how many chars of the legend's title are displayed in one line and when a line break is inserted.
numeric, determines how many chars of the legend labels are displayed in one line and when a line break is inserted.
size resp. width of the geoms (bar width, line thickness or point size, depending on plot type and function). Note that bar and bin widths mostly need smaller values than dot sizes.
user defined color for geoms. See 'Details' in
Logical, whether percentage values should be plotted or not.
Logical, whether count values hould be plotted or not.
TRUE, adds total number of cases for each group or category to the labels.
TRUE(default), the percentage values at the x-axis are shown.
TRUE, and depending on plot type and function, a legend is added to the plot.
numeric; sets the distance between breaks for the axis, i.e. at every
grid.breaks'th position a major grid is being printed.
TRUE, the plot grid is expanded, i.e. there is a small margin between axes and plotting region. Default is
Numeric, amount of digits after decimal point when rounding estimates or values.
character vector, indicating the vertical position of value labels. Allowed are same values as for
ggplot2: "left", "center", "right", "bottom", "middle", "top" and new options like "inward" and "outward", which align text towards and away from the center of the plot respectively.
TRUE, the x and y axis are swapped.
# Data from the EUROFAMCARE sample dataset library(sjmisc) data(efc) # recveive first item of COPE-index scale start <- which(colnames(efc) == "c82cop1") # recveive first item of COPE-index scale end <- which(colnames(efc) == "c90cop9") # auto-detection of labels plot_stackfrq(efc[, start:end]) # works on grouped data frames as well library(dplyr) efc %>% group_by(c161sex) %>% select(start:end) %>% plot_stackfrq() #> Warning: Using an external vector in selections was deprecated in tidyselect 1.1.0. #> ℹ Please use `all_of()` or `any_of()` instead. #> # Was: #> data %>% select(start) #> #> # Now: #> data %>% select(all_of(start)) #> #> See <https://tidyselect.r-lib.org/reference/faq-external-vector.html>. #> Warning: Using an external vector in selections was deprecated in tidyselect 1.1.0. #> ℹ Please use `all_of()` or `any_of()` instead. #> # Was: #> data %>% select(end) #> #> # Now: #> data %>% select(all_of(end)) #> #> See <https://tidyselect.r-lib.org/reference/faq-external-vector.html>. #> Adding missing grouping variables: `c161sex` #> [] #> [][] #> NULL #> #> [][] #> #> #> [] #>