For this example, we will use the same accumulation as described in vignette('getting-started',package="rENA")
, so review that document if anything in the following section is not clear.
Creating and plotting a means rotated set is fairly similar to a standard set, however we will define the rotation function along with the groups of rotated points that will be rotated along their means. The rENA package comes with a function for means rotation, ena.rotate.by.mean
, which is set as the rotation.by
parameter of ena.make.set
. Along with the function, rotation.params
is set as the parameters we want to pass along to the rotation function. In the case of ena.rotate.by.mean
, it expects rotation.params
to be a list
with two named elements, each containing a logical vector representing the rows of units to be included in particular group.
## Save references to the two vectors for easier re-use
first.game = accum$meta.data$Condition == "FirstGame"
second.game = accum$meta.data$Condition == "SecondGame"
rotation.params = list(
FirstGame = first.game,
SecondGame = second.game
)
setMeansRotated = ena.make.set(
enadata = accum, # The previously run accumulation above
rotation.by = ena.rotate.by.mean, # Function provided by rENA
rotation.params = rotation.params # The defined paremeters for rotation
)
first.points = as.matrix(setMeansRotated$points$Condition$FirstGame)
second.points = as.matrix(setMeansRotated$points$Condition$SecondGame)
plot.rotated = ena.plot(setMeansRotated, title = "Mean Rotation", scale.to = "p") %>%
ena.plot.points(points = first.points, colors = c("red")) %>%
ena.plot.points(points = second.points, colors = c("blue")) %>%
ena.plot.group(point = first.points, colors =c("red"),
confidence.interval = "box") %>%
ena.plot.group(point = second.points, colors =c("blue"),
confidence.interval = "box")
plot.rotated$plot