Plot grouped or stacked frequencies of variables as bar/dot, box or violin plots, or line plot.
plot_grpfrq(
var.cnt,
var.grp,
type = c("bar", "dot", "line", "boxplot", "violin"),
bar.pos = c("dodge", "stack"),
weight.by = NULL,
intr.var = NULL,
title = "",
title.wtd.suffix = NULL,
legend.title = NULL,
axis.titles = NULL,
axis.labels = NULL,
legend.labels = NULL,
intr.var.labels = NULL,
wrap.title = 50,
wrap.labels = 15,
wrap.legend.title = 20,
wrap.legend.labels = 20,
geom.size = NULL,
geom.spacing = 0.15,
geom.colors = "Paired",
show.values = TRUE,
show.n = TRUE,
show.prc = TRUE,
show.axis.values = TRUE,
show.ci = FALSE,
show.grpcnt = FALSE,
show.legend = TRUE,
show.na = FALSE,
show.summary = FALSE,
drop.empty = TRUE,
auto.group = NULL,
ylim = NULL,
grid.breaks = NULL,
expand.grid = FALSE,
inner.box.width = 0.15,
inner.box.dotsize = 3,
smooth.lines = FALSE,
emph.dots = TRUE,
summary.pos = "r",
facet.grid = FALSE,
coord.flip = FALSE,
y.offset = NULL,
vjust = "bottom",
hjust = "center"
)Vector of counts, for which frequencies or means will be plotted or printed.
Factor with the cross-classifying variable, where var.cnt
is grouped into the categories represented by var.grp.
Specifies the plot type. May be abbreviated.
"bar"for simple bars (default)
"dot"for a dot plot
"histogram"for a histogram (does not apply to grouped frequencies)
"line"for a line-styled histogram with filled area
"density"for a density plot (does not apply to grouped frequencies)
"boxplot"for box plot
"violin"for violin plots
Indicates whether bars should be positioned side-by-side (default),
or stacked (bar.pos = "stack"). May be abbreviated.
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.
An interaction variable which can be used for box plots. Divides each category indicated
by var.grp into the factors of intr.var, so that each category of var.grp
is subgrouped into intr.var's categories. Only applies when
type = "boxplot" or type = "violin".
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.
Suffix (as string) for the title, if weight.by is specified,
e.g. title.wtd.suffix=" (weighted)". Default is NULL, so
title will not have a suffix when cases are weighted.
character vector, used as title for the plot 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.
character vector with labels for the guide/legend.
a character vector with labels for the x-axis breaks
when having interaction variables included.
These labels replace the axis.labels. Only applies, when using box or violin plots
(i.e. type = "boxplot" or "violin") and intr.var is not NULL.
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.
the spacing between geoms (i.e. bar spacing)
user defined color for geoms. See 'Details' in plot_grpfrq.
Logical, whether values should be plotted or not.
logical, if TRUE, adds total number of cases for each
group or category to the labels.
logical, if TRUE (default), percentage values are plotted to each bar
If FALSE, percentage values are removed.
logical, whether category, count or percentage values for the axis should be printed or not.
Logical, if TRUE), adds notches to the box plot, which are
used to compare groups; if the notches of two boxes do not overlap,
medians are considered to be significantly different.
logical, if TRUE, the count within each group is added
to the category labels (e.g. "Cat 1 (n=87)"). Default value is FALSE.
logical, if TRUE, and depending on plot type and
function, a legend is added to the plot.
logical, if TRUE, NA's (missing values)
are added to the output.
logical, if TRUE (default), a summary with chi-squared
statistics (see chisq.test), Cramer's V or Phi-value etc.
is shown. If a cell contains expected values lower than five (or lower than 10
if df is 1), the Fisher's excact test (see fisher.test) is
computed instead of chi-squared test. If the table's matrix is larger
than 2x2, Fisher's excact test with Monte Carlo simulation is computed.
Logical, if TRUE and the variable's values are labelled,
values that have no observations are still printed in the table (with
frequency 0). If FALSE, values / factor levels with no occurence
in the data are omitted from the output.
numeric vector of length two, defining lower and upper axis limits
of the y scale. By default, this argument is set to NULL, i.e. the
y-axis fits to the required range of the data.
numeric; sets the distance between breaks for the axis,
i.e. at every grid.breaks'th position a major grid is being printed.
logical, if TRUE, the plot grid is expanded, i.e. there is a small margin between
axes and plotting region. Default is FALSE.
width of the inner box plot that is plotted inside of violin plots. Only applies
if type = "violin". Default value is 0.15
size of mean dot insie a violin or box plot. Applies only
when type = "violin" or "boxplot".
prints a smooth line curve. Only applies, when argument type = "line".
logical, if TRUE, the groups of dots in a dot-plot are highlighted
with a shaded rectangle.
position of the model summary which is printed when show.summary
is TRUE. Default is "r", i.e. it's printed to the upper right corner.
Use "l" for upper left corner.
TRUE to arrange the lay out of of multiple plots
in a grid of an integrated single plot. This argument calls
facet_wrap or facet_grid
to arrange plots. Use plot_grid to plot multiple plot-objects
as an arranged grid with grid.arrange.
logical, if TRUE, the x and y axis are swapped.
numeric, offset for text labels when their alignment is adjusted
to the top/bottom of the geom (see hjust and vjust).
character vector, indicating the vertical position of value
labels. Allowed are same values as for vjust aesthetics from
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.
character vector, indicating the horizontal position of value
labels. Allowed are same values as for vjust aesthetics from
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.
A ggplot-object.
geom.colors may be a character vector of color values
in hex-format, valid color value names (see demo("colors") or
a name of a color brewer palette.
Following options are valid for the geom.colors argument:
If not specified, a default color brewer palette will be used, which is suitable for the plot style (i.e. diverging for likert scales, qualitative for grouped bars etc.).
If "gs", a greyscale will be used.
If "bw", and plot-type is a line-plot, the plot is black/white and uses different line types to distinguish groups (see this package-vignette).
If geom.colors is any valid color brewer palette name, the related palette will be used. Use display.brewer.all to view all available palette names.
Else specify own color values or names as vector (e.g. geom.colors = c("#f00000", "#00ff00")).
# NOT RUN {
data(efc)
plot_grpfrq(efc$e17age, efc$e16sex, show.values = FALSE)
# boxplot
plot_grpfrq(efc$e17age, efc$e42dep, type = "box")
# grouped bars
plot_grpfrq(efc$e42dep, efc$e16sex, title = NULL)
# box plots with interaction variable
plot_grpfrq(efc$e17age, efc$e42dep, intr.var = efc$e16sex, type = "box")
# Grouped bar plot
plot_grpfrq(efc$neg_c_7, efc$e42dep, show.values = FALSE)
# same data as line plot
plot_grpfrq(efc$neg_c_7, efc$e42dep, type = "line")
# show ony categories where we have data (i.e. drop zero-counts)
library(dplyr)
efc <- dplyr::filter(efc, e42dep %in% c(3,4))
plot_grpfrq(efc$c161sex, efc$e42dep, drop.empty = TRUE)
# show all categories, even if not in data
plot_grpfrq(efc$c161sex, efc$e42dep, drop.empty = FALSE)
# }
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