The base Classes are MatrixProfile
and MultiMatrixProfile
, but as other functions are used,
classes are pushed behind, since the last output normally is the most significant. If you want,
for example, to plot the Matrix Profile from a Fluss
object, you may use as.matrixprofile()
to cast it back.
as.matrixprofile(.mp)
as.multimatrixprofile(.mp)
as.pmp(.mp)
as.valmod(.mp)
as.fluss(.mp)
as.chain(.mp)
as.discord(.mp)
as.motif(.mp)
as.multimotif(.mp)
as.arccount(.mp)
as.salient(.mp)
a TSMP object.
Returns the object with the new class, if possible.
as.matrixprofile()
: Cast an object changed by another function back to MatrixProfile
.
as.multimatrixprofile()
: Cast an object changed by another function back to MultiMatrixProfile
.
as.pmp()
: Cast an object changed by another function back to PMP
.
as.valmod()
: Cast an object changed by another function back to MultiMatrixProfile
.
as.fluss()
: Cast an object changed by another function back to Fluss
.
as.chain()
: Cast an object changed by another function back to Chain
.
as.discord()
: Cast an object changed by another function back to Discord
.
as.motif()
: Cast an object changed by another function back to Motif
.
as.multimotif()
: Cast an object changed by another function back to MultiMotif
.
as.arccount()
: Cast an object changed by another function back to ArcCount
.
as.salient()
: Cast an object changed by another function back to Salient
.
w <- 50
data <- mp_gait_data
mp <- tsmp(data, window_size = w, exclusion_zone = 1 / 4, verbose = 0)
mp <- find_motif(mp)
class(mp) # first class will be "Motif"
#> [1] "Motif" "MatrixProfile"
plot(mp) # plots a motif plot
plot(as.matrixprofile(mp)) # plots a matrix profile plot