The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

Using Custom Methods

You can pass a custom function to the extract_saccades() alongside the internally implemented method. The function must be declared as follows:

custom_saccade_voting_method <- function(x,
                                         y,
                                         vel,
                                         acc,
                                         sample_rate,
                                         trial,
                                         options) {
                                         
  # implement you method that computes a 0/1 vote per sample
  
  sample_votes
}

Arguments that are passed to the function (all vectors/tables have the same length/number of rows):

• x, y vectors with monocular samples (either for one of the eyes or cyclopean). On the one hand, you can assume that samples are in degrees of visual angle as the package users are warned that using non-standard units may invalidate some internally implemented methods. On the other hand, as you are implementing a custom method for your own data, you can treat them in the units you see fit (input vectors x and y are not transformed but for averaging in case of cyclopean data).
• vel and acc are data frames with velocity and acceleration samples. Each table has columns x (horizontal component), y (vertical component), and amp (amplitude). See below for details on velocity computation.
• sample_rate scalar value in Hz.
• trial vector with trial index per sample.
• options a named list with method-specific options. See the example below for how to use them. See also option_or_default() function.

Your function must return a vector of the same length as x with votes (\(1\) if sample is a potential saccade, \(0\) otherwise, you can also use logical values).

simple_threshold_method <- function(x,
                                    y,
                                    vel,
                                    acc,
                                    sample_rate,
                                    trial,
                                    options) {

  # obtain method parameters or use defaults
  velocity_threshold <- saccadr::option_or_default(options, "st_velocity_threshold", 50)

  # vote on each sample  
  sample_vote <- vel[['amp']] > velocity_threshold
  
  # return votes
  sample_vote
}

data("single_trial")
saccades <- saccadr::extract_saccades(x = single_trial$x,
                                      y = single_trial$y,
                                      sample_rate = 500,
                                      methods = list("ek", "om", "nh", simple_threshold_method),
                                      options = list("st_velocity_threshold" = 70))

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.