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plot
the LongData
, either alone or relatively
to a Partition
. This function can plot the individual trajectories,
the mean trajectories or both.plot(x,y,...)
[LongData]
: Object containing the trajectories to plot.[Partition]
: Gives the Partition
used to color the trajectories. If y
is missing, a
Partition
with a single cluster is considered.plot
). For LongData
object specificly :
[vector(character)]
: which subGroups of
the Partition
should be ploted ? By plot
the LongData
, either alone or relatively
to a Partition
. This function can plot the individual trajectories,
the mean trajectories or both. Some graphical parameters are available
twice, once for the individual trajectories (like type
or col
), once for the
mean trajectories (like type.mean
or col.mean
).LongData
, plotSubGroups(LongData)
#############
### Small example
traj1 <- gald()
part1 <- partition(rep(LETTERS[1:4],each=50),nbClusters=4)
### Several way to print the longData
par(ask=TRUE)
plot(traj1)
plot(traj1,part1)
### Only the longData, in black
plot(traj1,part1,type.mean="n", col=1)
### Only the clusters centers
plot(traj1,part1,type="n")
### only the clusters centers, in black with no letters
plot(traj1,part1,type="n",col.mean="black",type.mean="l")
### Big letter, in black (for publication...)
plot(traj1,part1,type="n",col.mean="black",cex.mean=2)
#############
### Big example
traj2 <- gald(time=0:500,functionClusters=list(
function(t){5},
function(t){-5},
function(t){5*sin(t/25)}
))
part2 <- partition(rep(LETTERS[1:3],each=50),nbClusters=3)
plot(traj2,part2)
### Only the clusters mean
plot(traj2,part2,type="n")
### With not as much letters...
plot(traj2,part2,pch.time=25+0:9*50,cex=2,type="n")
par(ask=FALSE)
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