Function reference
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clean_answers()
- Clean and filter survey responses
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clean_attention()
- Clean Attention Check Failures in a Dataset
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clean_ending()
- Filter Dataset Based on Ending Status
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clean_env()
- Clean Global Environment with Exceptions
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clean_na()
- Clean Dataset Based on Missing Data Threshold and MCAR Test
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clean_speed()
- Clean Speed Outliers in a Dataset
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extract_power()
- Extract Power Analysis Results
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get_base_names()
- Extract Base Names from Dataset Variable Names
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get_files()
- Retrieve Specified Files from Working Directory
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get_git_packages()
- Install and Load GitHub Packages
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get_means()
- Compute Mean Scores for Scales with Optional Reverse Scoring and Clustering
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get_packages()
- Install and Load R Packages
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get_processed_list()
- Extract the Most Processed Variables from a List, Optionally Excluding Transformations
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get_scale_names()
- Create Base Scale Names
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get_string()
- Convert List to String
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get_transformation()
- Apply
bestNormalize
Transformation to Variables in a Dataset and Update Dataset Accordingly
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get_winsorization()
- Perform Winsorization on a Vector Based on Median Absolute Deviation (MAD)
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impute_data()
- Impute Data Using MissForest
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process_qualtrics_files()
- Process Qualtrics Data Files
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remove_env_objects()
- Remove Specific Objects from Global Environment
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report_additional_demographics()
- Report Descriptive Statistics for Demographics
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root_apply()
- Apply a Function to Subset of Variables in a Dataset Based on Root Names
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simulate_power()
- Compute Power Analysis For SEM Model Using Monte Carlo Simulation