batchGenerateCI: Generates multiple classification images by participant or...
In rcicr: Reverse-Correlation Image-Classification Toolbox

Description Usage Arguments Details Value

Generate classification image for any reverse correlation task that displays independently generated alternatives.

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batchGenerateCI(data, by, stimuli, responses, baseimage, rdata,
  saveasjpeg = TRUE, targetpath = "./cis", label = "", antiCI = FALSE,
  scaling = "autoscale", constant = 0.1)

`data`	Data frame
`by`	String specifying column name that specifies the smallest unit (participant, condition) to subset the data on and calculate CIs for
`stimuli`	String specifying column name in data frame that contains the stimulus numbers of the presented stimuli
`responses`	String specifying column name in data frame that contains the responses coded 1 for original stimulus selected and -1 for inverted stimulus selected.
`baseimage`	String specifying which base image was used. Not the file name, but the key used in the list of base images at time of generating the stimuli.
`rdata`	String pointing to .RData file that was created when stimuli were generated. This file contains the contrast parameters of all generated stimuli.
`saveasjpeg`	Boolean stating whether to additionally save the CI as jpeg image
`targetpath`	Optional string specifying path to save jpegs to (default: ./cis)
`label`	Optional string to insert in file names of jepgs to make them easier to identify
`antiCI`	Optional boolean specifying whether antiCI instead of CI should be computed
`scaling`	Optional string specifying scaling method: `none`, `constant`, `independent` or `autoscale` (default)
`constant`	Optional number specifying the value used as constant scaling factor for the noise (only works for `scaling='constant'`)

This funcions saves the classification images by participant or condition as jpeg to a folder and returns the CIs.

List of classification image data structures (which are themselves lists of pixel matrix of classification noise only, scaled classification noise only, base image only and combined)

rcicr documentation built on May 2, 2019, 5:24 p.m.