Plot One-Way-Anova table sum of squares (SS) of each factor level (group) against the dependent variable. The SS of the factor variable against the dependent variable (variance within and between groups) is printed to the model summary.
sjp.aov1(var.dep, var.grp, meansums = FALSE, title = NULL,
axis.labels = NULL, rev.order = FALSE, string.interc = "(Intercept)",
axis.title = "", axis.lim = NULL, geom.colors = c("#3366a0", "#aa3333"),
geom.size = 3, wrap.title = 50, wrap.labels = 25, grid.breaks = NULL,
show.values = TRUE, digits = 2, y.offset = 0.1, show.p = TRUE,
show.summary = FALSE, prnt.plot = TRUE)Dependent variable. Will be used with following formula:
aov(var.dep ~ var.grp)
Factor with the cross-classifying variable, where var.dep
is grouped into the categories represented by var.grp.
Logical, if TRUE, the values reported are the true group mean values (see also sjt.grpmean).
If FALSE (default), the values are reported in the standard way, i.e. the values indicate the difference of
the group mean in relation to the intercept (reference group).
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 with labels used as axis labels. Optional argument, since in most cases, axis labels are set automatically.
Logical, if TRUE, order of categories (groups) is reversed.
Character vector that indicates the reference group (intercept), that is appended to
the value label of the grouping variable. Default is "(Intercept)".
Character vector of length one or two (depending on
the plot function and type), used as title(s) for the x and y axis.
If not specified, a default labelling is chosen. To set multiple
axis titles (e.g. with type = "eff" for many predictors),
axis.title must be a character vector of same length of plots
that are printed. In this case, each plot gets an own axis title
(applying, for instance, to the y-axis for type = "eff").
Note: Some plot types do not support this argument. In such
cases, use the return value and add axis titles manually with
labs, e.g.: $plot.list[[1]] + labs(x = ...)
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 type = "eff" or
type = "slope" in sjp.glm), axis.lim may
also be a list of vectors of length 2, defining axis limits for each
plot (only if non-faceted).
user defined color for geoms. See 'Details' in sjp.grpfrq.
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.
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; sets the distance between breaks for the axis,
i.e. at every grid.breaks'th position a major grid is being printed.
Logical, whether values should be plotted or not.
Numeric, amount of digits after decimal point when rounding estimates and values.
numeric, offset for text labels when their alignment is adjusted
to the top/bottom of the geom (see hjust and vjust).
Logical, adds significance levels to values, or value and variable labels.
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 (default), plots the results as graph. Use FALSE if you don't
want to plot any graphs. In either case, the ggplot-object will be returned as value.
(Insisibily) returns the ggplot-object with the complete plot (plot) as well as the data frame that
was used for setting up the ggplot-object (df).
# NOT RUN {
data(efc)
# note: "var.grp" does not need to be a factor.
# coercion to factor is done by the function
sjp.aov1(efc$c12hour, efc$e42dep)
# }
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