"Visualise measurement de-trending and binarisation"

Source: R/plotBinMeas.R

Visualise binarisation

plotBinMeas(
  obj,
  ntraj = 16L,
  xfac = 1,
  measfac = 1,
  plotResc = TRUE,
  inSeed = NULL
)

# S3 method for arcosTS
plotBinMeas(
  obj,
  ntraj = 16L,
  xfac = 1,
  measfac = 1,
  plotResc = TRUE,
  inSeed = NULL
)

Arguments

obj

an arcosTS object.

ntraj

an integer with the number of random trajectories to plot. Set to 0 to plot all trajectories; default 16L.

xfac

a numeric with a rescaling factor for the x-axis; default 1.

measfac

a numeric with a rescaling factor for the measurement for visualisation purposes; default 1.

plotResc

logical, plot rescaled trajectory; default TRUE.

inSeed

an integer with the seed for the random number generator, default NULL.

Value

a ggplot2 object.

Details

Visualise de-trending and visualisation of the measurement column on a random selection of time series.

Examples

cat("no examples")
#> no examples