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Add an option to plotClusterTrajectories() to enable a ribbon plot for useful ranges (e.g., SD, standard error, quartiles, min-max)
This could be achieved through the existing trajectories argument.
Whereas trajectories = TRUE shows the original trajectories, other options could be enabled through: plotClusterTrajectories(trajectories = "range") for min-max plotClusterTrajectories(trajectories = "sd") for standard deviation plotClusterTrajectories(trajectories = "se") for standard error plotClusterTrajectories(trajectories = "quartile") for interquartile range
And arbitrary percentile intervals using the format \d{1,2}pct
e.g., plotClusterTrajectories(trajectories = "80pct") for 80th percentile range
The benefit of specifying the options through character strings is that this could enable a subtitle describing what range the ribbon presents. With arbitrary function input for trajectories, this would get more difficult.
The text was updated successfully, but these errors were encountered:
Add an option to
plotClusterTrajectories()
to enable a ribbon plot for useful ranges (e.g., SD, standard error, quartiles, min-max)This could be achieved through the existing
trajectories
argument.Whereas
trajectories = TRUE
shows the original trajectories, other options could be enabled through:plotClusterTrajectories(trajectories = "range")
for min-maxplotClusterTrajectories(trajectories = "sd")
for standard deviationplotClusterTrajectories(trajectories = "se")
for standard errorplotClusterTrajectories(trajectories = "quartile")
for interquartile rangeAnd arbitrary percentile intervals using the format
\d{1,2}pct
e.g.,
plotClusterTrajectories(trajectories = "80pct")
for 80th percentile rangeThe benefit of specifying the options through character strings is that this could enable a subtitle describing what range the ribbon presents. With arbitrary function input for
trajectories
, this would get more difficult.The text was updated successfully, but these errors were encountered: