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Thank you for generating this package - I'm excited about the possibilities it opens for interpreting my data!
I would like to render the datapoints/markers semi-transparent (alpha < 1) so that overplotted data will be easier to visualize. I have attempted using the following arguments, based on code from the readme, tutorial, and manual files, though have not had any luck. I do not receive any errors using the following code, though the transparency of the data points in the plot is not altered.
I have also attempted utilizing the swarmplot.params argument (from geom_quasirandom()link), though receive the error, "Error in plot.dabest_effsize(unpaired_mean_diff, rawplot.type = "swarmplot", : swarmplot.params is not a list."
Interestingly, if I change the plot type to "sinaplot", alpha can be changed through the palette argument, though the group width becomes rather thin and is not responsive to the rawplot.groupwidth argument.
I am currently toubleshooting through RStudio v1.3.1056 and dabestr v.0.3.0 with the iris dataset. As I'm relatively new to R, I would like to know whether I am missing a simple argument or command, or whether there is a bug and/or workaround? Any advice would be appreciated!
The text was updated successfully, but these errors were encountered:
Workaround: Was able to enable marker transparency in the swarmplot by routing through a geom_quasirandom list (via the swarmplot.params argument). Marker size then had to be adjusted in the same list, as it was no longer responsive through the plot() function.
Thank you for generating this package - I'm excited about the possibilities it opens for interpreting my data!
I would like to render the datapoints/markers semi-transparent (alpha < 1) so that overplotted data will be easier to visualize. I have attempted using the following arguments, based on code from the readme, tutorial, and manual files, though have not had any luck. I do not receive any errors using the following code, though the transparency of the data points in the plot is not altered.
plot(unpaired_mean_diff, rawplot.type = "swarmplot", palette = c(rgb(0, 0, 0, 0.2), alpha("sienna4", 0.2)))
plot(unpaired_mean_diff, rawplot.type = "swarmplot", palette = c(rgb(0, 0, 0), "sienna4")) + geom.quasirandom(alpha = 0.2)
I have also attempted utilizing the
swarmplot.params
argument (fromgeom_quasirandom()
link), though receive the error, "Error in plot.dabest_effsize(unpaired_mean_diff, rawplot.type = "swarmplot", :swarmplot.params
is not a list."plot(unpaired_mean_diff, rawplot.type = "swarmplot", palette = c(rgb(0, 0, 0), "sienna4"), swarmplot.params = (alpha = 0.2))
Interestingly, if I change the plot type to "sinaplot", alpha can be changed through the palette argument, though the group width becomes rather thin and is not responsive to the
rawplot.groupwidth
argument.plot(unpaired_mean_diff, rawplot.type = "sinaplot", rawplot.groupwidth = 1, palette = c(rgb(0, 0, 0, 0.2), alpha("sienna4", 0.2)))
I am currently toubleshooting through RStudio v1.3.1056 and dabestr v.0.3.0 with the iris dataset. As I'm relatively new to R, I would like to know whether I am missing a simple argument or command, or whether there is a bug and/or workaround? Any advice would be appreciated!
The text was updated successfully, but these errors were encountered: