dplot {emuR}

A function to plot one or more columns of EMU-trackdata as a function of time (DEPRECATED see below)

Description

A general purpose routine for plotting EMU-trackdata on a single plot. Tracks can be aligned at an arbitrary position, length normalised or averaged. The plots can be colour-coded for different category types. DEPRECATED as this function does not play well with with the new resultType = "tibble" of get_trackdata(). See https://ips-lmu.github.io/The-EMU-SDMS-Manual/recipe-plottingSnippets.html for an alternative plotting routines using ggplot2.

Usage

dplot(
  x,
  labs = NULL,
  offset = 0,
  prop = TRUE,
  average = FALSE,
  xlim = NULL,
  ylim = NULL,
  lty = FALSE,
  normalise = FALSE,
  colour = TRUE,
  lwd = NULL,
  pch = NULL,
  legend = "topright",
  axes = TRUE,
  type = "l",
  n = 20,
  ...
)

Arguments

x

An EMU-trackdata object

labs

A label vector with one element for each row in 'dataset'

offset

Either: A single numeric vector between 0 and 1. 0 and 1 denote synchronize the trackdata at their temporal onsets and offsets respectively; 0.5 denotes synchronization at the temporal midpoint, etc. Or a numeric vector of the same length as x specifying the synchronisation point per segment

prop

A single element character vector specifying whether the tracks should be aligned proportionally or relative to millisecond times. Defaults to proportional alignment

average

If TRUE, the data for each unique label in 'labs' is averaged

xlim

A vector of two numeric values specifying the x-axis range

ylim

A vector of two numeric values specifying the y-axis range

lty

A single element logical vector. Defaults to FALSE. If TRUE, plot each label type in a different linetype

normalise

If TRUE, the data for each segment is linearly time normalised so that all observations have the same length. The number of points used in the linear time normalisation is control by the argument n.

colour

A single element logical vector. Defaults to TRUE to plot each label type in a different colour

lwd

A code passed to the lwd argument in plotting functions. 'lwd' can be either a single element numeric vector, or its length must be equal to the number of unique types in labs. For example, if lwd=3 and if labs = c("a", "b", "a", "c"), then the output is c(3, 3, 3, 3). Alternatively, if lwd = c(2,3,1), then the output is c(2, 3, 2, 1) for the same example. The default is NULL in which case all lines are drawn with lwd=1

pch

A code passed to the pch argument in plotting functions. Functions in the same way as lwd above

legend

Either a character vector to plot the legend. Possible values are: "bottomright"', '"bottom"', '"bottomleft"', '"left"', '"topleft"', '"top"', '"topright"', '"right"' and '"center"'. This places the legend on the inside of the plot frame at the given location. Partial argument matching is used. Or a logical vector: legend = FALSE suppresses legend plotting. legend = TRUE plots it at the default, legend = "topright"

axes

A single element logical vector. Defaults to TRUE to plot the axes

type

The default line type. Default to "l" for a line plot

n

A single element numeric vector. Only used if normalise=TRUE. The number of data points used to linearly time normalise each track

...

graphical options par

Author(s)

Jonathan Harrington

See Also

dcut get_trackdata

Examples

   # Plot of column 1 (which happens to be the 1st formant) of an EMU-trackdata object
   dplot(dip.fdat[,1])
	

   # As above but only observations 1 to 5
   dplot(dip.fdat[1:5,1])
	

   #  column 2 (which happens to be of the second formant) and colour-coded
   # for each label-type
   dplot(dip.fdat[,2], dip.l)
	

   # put the legend bottom left
   dplot(dip.fdat[,2], dip.l, legend="bottomleft")
	

   # as above with no legend and averaged per category
   dplot(dip.fdat[,2], dip.l, legend=FALSE, average=TRUE)
	

   # both formants averaged
   dplot(dip.fdat[,1:2], dip.l, average=TRUE)
	

   # F2 only with linear-time normalisation
   dplot(dip.fdat[,2], dip.l, norm=TRUE)
	

   # linear time-normalisation, both formants and averaged
   dplot(dip.fdat[,1:2], dip.l, norm=TRUE, average=TRUE)
	

   # synchronise at the temporal midpoint before averaging, F2 only
   dplot(dip.fdat[,2], dip.l, offset=0.5, average=TRUE)
	

   # synchronise 60 ms before the diphthong offset
   dplot(dip.fdat[,2], dip.l, offset=dip.fdat$ftime[,2]-60, prop=FALSE)
	

   # as above averaged, no colour with linetype, 
# different plot symbols double line thickness in the range between +- 20 ms
   dplot(dip.fdat[,2], dip.l, offset=dip.fdat$ftime[,2]-60, prop=FALSE,
   average=TRUE, colour=FALSE, lty=TRUE, pch=1:3, lwd =2, type="b", xlim=c(-20, 20))