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Included with the data are the minimally processed raw data files, the R scripts used to prepare, trim, visualize, and model the data (using linear mixed-effects models), the model outputs themselves, and the graphs generated from the data. Please refer to the file_descriptions.pdf file for more details on the data itself. To start examining the data, please refer to the scripts labeled 1_exp1_data_prep.R and 1_exp2_data_prep.R . Following through to the other R scripts in the /scripts/ folder takes the reader through the analyses presented in the paper. These analyses read in CSV files from the /data/input/ folder and process them to create exp1_prep.csv, exp2_prep.csv, exp1_trim.csv, and exp2_trim.csv. These trimmed data sets are then used in the later scripts in the /scripts/ folder to generate the models found in the /scripts/data/ folder (the HTML output of which are in the /scripts/models/ folder) and the graphs found in the /scripts/graphs/ folder. The final scripts entitled exp1_models.R and exp2_models.R generate the models are found in /scripts/data/. Please direct comments about the data-set to the corresponding authors of the associated paper, Robert J. Wilder (rwilder@sas.upenn.edu) and Amy Goodwin Davies (amygood@sas.upenn.edu).","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"xml":"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","url":"https://data.mendeley.com/datasets/fdmshk2d5x","contentUrl":null,"metadataVersion":0,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"mds","isActive":true,"state":"findable","reason":null,"viewCount":3226,"viewsOverTime":[{"yearMonth":"2018-11","total":258},{"yearMonth":"2018-12","total":274},{"yearMonth":"2019-01","t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