in_scatter {disaggR}  R Documentation 
The function in_scatter
returns lowfrequency comparisons of the inputs from
a praislm, a twoStepsBenchmark or threeRuleSmooth.
in_scatter(
object,
type = if (model.list(object)$include.differenciation) "changes" else "levels"
)
object 
an object of class 
type 

The functions plot
and autoplot
can be used on this object to produce
graphics.
a named matrix time series of two or three columns, one for the lowfrequency serie
and the others for the highfrequency series (eventually differentiated if
include.differenciation
is TRUE
).
A tscomparison
class is added to the object.
For a twoStepsBenchmark
object, this matrix has three columns,
for the lowfrequency series, the highfrequency on the regression span and
the highfrequency series on the benchmark span.
If outlier effects are estimated, the contributions of the outliers are substracted from the lowfrequency series.
in_sample in_disaggr in_revisions plot.tscomparison
benchmark < twoStepsBenchmark(turnover,construction,include.rho = TRUE)
plot(in_scatter(benchmark))