autoplot function

Diagnostic plots

Autoplot methods for S3 objects in the movementsync package.

## S3 method for class 'Duration'
autoplot(object, horizontal = FALSE, ...)

## S3 method for class 'OnsetsSelected'
autoplot(object, instrument = "Inst", tactus = "Matra", ...)

## S3 method for class 'Metre'
autoplot(object, ...)

## S3 method for class 'View'
autoplot(
  object,
  columns = NULL,
  maxpts = 1000,
  time_limits = c(-Inf, Inf),
  time_breaks = NULL,
  expr = NULL,
  ...
)

## S3 method for class 'SplicedView'
autoplot(
  object,
  columns = NULL,
  segments = NULL,
  time_breaks = NULL,
  time_limits = c(-Inf, Inf),
  maxpts = 1000,
  ...
)

Arguments

• object: S3 object
• horizontal: make the barchart horizontal? (Default is FALSE).
• ...: passed to zoo::plot.zoo().
• instrument: instrument column name.
• tactus: beat column name.
• columns: names of columns in input data.
• maxpts: maximum number of points to plot
• time_limits: tuple to restrict the timeline or a duration object.
• time_breaks: suggests the number of major time tick marks (Default is NULL).
• expr: an R expression that sets the time scale using a duration object (Default is NULL).
• segments: only include these segments in a SplicedView plot.

Returns

a ggplot object.

Examples

r <- get_sample_recording()
d <- get_duration_annotation_data(r)
autoplot(d)
o <- get_onsets_selected_data(r)
autoplot(o)
m <- get_metre_data(r)
autoplot(m)
v <- get_raw_view(r, "Central", "", "Sitar")
autoplot(v, columns = c("LEar_x", "LEar_y"), time_limits = c(20, 40))
l <- list(a = c(0, 10), b = c(20, 30), c = c(30, 60))
splicing_df <- splice_time(l)
sv <- get_spliced_view(v, splicing_df)
autoplot(sv, columns = c("LEar_x", "LEar_y", "Nose_x", "Nose_y"), time_breaks = 4, maxpts = 1000)