Plot grouped proportional crosstables, where the proportion of
each level of
x for the highest category in
is plotted, for each subgroup of
plot_gpt( data, x, y, grp, colors = "metro", geom.size = 2.5, shape.fill.color = "#f0f0f0", shapes = c(15, 16, 17, 18, 21, 22, 23, 24, 25, 7, 8, 9, 10, 12), title = NULL, axis.labels = NULL, axis.titles = NULL, legend.title = NULL, legend.labels = NULL, wrap.title = 50, wrap.labels = 15, wrap.legend.title = 20, wrap.legend.labels = 20, axis.lim = NULL, grid.breaks = NULL, show.total = TRUE, annotate.total = TRUE, show.p = TRUE, show.n = TRUE )
A data frame, or a grouped data frame.
Categorical variable, where the proportion of each category in
Categorical or numeric variable. If not a binary variable,
Grouping variable, which will define the y-axis
May be a character vector of color values in hex-format, valid
color value names (see
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.
Optional color vector, fill-color for non-filled shapes
Numeric vector with shape styles, used to map the different
Character vector, used as plot title. By default,
character vector with labels used as axis labels. Optional argument, since in most cases, axis labels are set automatically.
character vector of length one or two, defining the title(s) for the x-axis and y-axis.
Character vector, used as legend title for plots that have a legend.
character vector with labels for the guide/legend.
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.
Numeric vector of length 2, defining the range of the plot axis.
Depending on plot type, may effect either x- or y-axis, or both.
For multiple plot outputs (e.g., from
numeric; sets the distance between breaks for the axis,
i.e. at every
Logical, adds significance levels to values, or value and variable labels.
The p-values are based on
y for each
data(efc) # the proportion of dependency levels in female # elderly, for each family carer's relationship # to elderly plot_gpt(efc, e42dep, e16sex, e15relat) # proportion of educational levels in highest # dependency category of elderly, for different # care levels plot_gpt(efc, c172code, e42dep, n4pstu)