eyetools (version 0.9.2)

plot_seq: Plot of raw data over time

Description

A tool for visualising the timecourse of raw data over a single trial. Participant and trial values can be selected from the data. If values for these parameters are not provided then a single participant and a single trial will be sampled at random. Data can be split into bins by time or by the number of bins.

Usage

plot_seq(
  data = NULL,
  AOIs = NULL,
  trial_values = NULL,
  pID_values = NULL,
  bg_image = NULL,
  res = c(0, 1920, 0, 1080),
  flip_y = FALSE,
  plot_header = FALSE,
  bin_time = NULL,
  bin_range = NULL
)

Value

a plot of the raw data representing changes over time

Arguments

data

A dataframe with raw data. If multiple trials are used, then one trial is sampled at random.

AOIs

A dataframe of areas of interest (AOIs), with one row per AOI (x, y, width_radius, height).

trial_values

specify particular values within 'trial' to plot data from certain trials

pID_values

specify particular values within 'pID' to plot data from certain participants

bg_image

The filepath of a PNG image to be added to the plot, for example to show a screenshot of the task.

res

resolution of the display to be shown, as a vector (xmin, xmax, ymin, ymax)

flip_y

reverse the y axis coordinates (useful if origin is top of the screen)

plot_header

display the header title text which explains graphical features of the plot.

bin_time

if wanting to split data into bins, the time (in ms) for each bin of data to be displayed

bin_range

if wanting to split data into bins, the first and last bin to be display, e.g., c(1,5)

Examples

data <- combine_eyes(HCL)

# plot the raw data
plot_seq(data)

# with AOIs
plot_seq(data, AOIs = HCL_AOIs)

# plot raw data with bins
plot_seq(data, bin_time = 500)