Take in the results of a Structural Summary Method analysis with pairwise contrasts and plot the point and interval estimates for each parameter's contrast (e.g., between groups or measures).
Usage
ssm_plot_contrast(
ssm_object,
drop_xy = FALSE,
sig_color = "#fc8d62",
ns_color = "white",
linesize = 1.25,
fontsize = 12,
...
)Arguments
- ssm_object
Required. The results output of
ssm_analyze().- drop_xy
A logical determining whether the X-Value and Y-Value parameters should be removed from the plot (default = FALSE).
- sig_color
Optional. A string corresponding to the color to use to denote significant contrasts (default = "#fc8d62").
- ns_color
Optional. A string corresponding to the color to use to denote non-significant contrasts (default = "white").
- linesize
Optional. A positive number corresponding to the size of the point range elements in mm (default = 1.5).
- fontsize
Optional. A positive number corresponding to the size of the axis labels, numbers, and facet headings in pt (default = 12).
- ...
Additional arguments will be ignored.
Value
A ggplot variable containing difference point-ranges faceted by SSM parameter. An interval that does not contain the value of zero has p<.05.
Examples
# \donttest{
data("jz2017")
res <- ssm_analyze(
jz2017,
scales = 2:9,
measures = c("NARPD", "ASPD"),
contrast = TRUE
)
ssm_plot_contrast(res)
# }