generatePPgraphValues: Generate Profile Plot Graph Values
In kemacdonald/iChartAnalyzeR: Analyze PEEK Data iChart Style

Description Usage Arguments Details Examples

generatePPgraphValues() computes the mean proportion looking each participant, condition, and frame.

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generatePPgraphValues(iChart, filter_criteria = list("GoodFirstGap",
  "GoodLongestGap"), group_cols = list("Condition"), gvStartWindow = 0,
  gvEndWindow = 3000, save_results = TRUE)

`iChart`	A data frame in iChart format with iChart column names.
`filter_criteria`	A list of strings indicating the variables that should be used for filtering iChart. Options include: "GoodRT", "GoodFirstGap", and "GoodLongestGap." Or if you don't want to filter pass the string "none"
`group_cols`	A list of strings indicating the variable names for any grouping variables.
`gvStartWindow`	An integer indicating the lower bound of the graph values window in milliseconds.
`gvEndWindow`	An integer indicating the upper bound of the graph values window in milliseconds.
`save_results`	A boolean indicating whether the results should be saved to disk.

This function aggregates iChart Proportion Looking for each trial and Accuracy for each participant, condition, and frame, and returns this information in a data frame.

## Not run: df_gvs <- generatePPgraphValues(d_analysis,
    filter_criteria = list("GoodRT", "GoodFirstGap", "GoodLongestGap"),
    group_cols = list("Condition"),
    gvStartWindow = 0, gvEndWindow = 3000,
    save_results = FALSE)
## End(Not run)