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# Data exploration: Create and save average scores for confidence and recognition across trial blocks (two separate columns). Use the following: 'apply(dataset[ , column #s

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# Data exploration: Create and save average scores for confidence and recognition across trial blocks (two separate columns). Use the following: 'apply(dataset[ , column #s for confidence or recognition], 1, mean)'. You will use these average scores for the rest of the test. \"'{r avgscores} Create histograms of the confidence and recognition average scores (you can use hist or ggplot2). These charts do not have to be pretty. \"'{r histogram} Print out the means, standard deviations, and length for each condition (JOL- Group and Type Cue combined together) in the study for recognition only. {r descriptives}

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