
Package index
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tab() - Create a table or crosstab
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tab_all() - Apply
tab()to multiple variables -
tab_mr() - Create a table or crosstab for a multiple response (pick-any) set
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tab_mr_all() - Apply
tab_mr()to multiple multiple response sets -
tab_grid() - Create a full distribution table for a grid question
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tab_grid_all() - Apply
tab_grid()to multiple grid questions -
tab_grid_t() - Create a top/bottom box table or crosstab for a grid question
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tab_grid_t_all() - Apply
tab_grid_t()to multiple grid questions
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merge_waves() - Merge two survey waves
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standardize() - Standardize numeric and factor variables (z-scores)
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normalize() - Normalize numeric and factor variables to a 0–1 scale
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one_hot_encode() - One-hot encode categorical variables
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cor_matrix() - Compute a correlation matrix
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cor_heatmap() - Plot a correlation heatmap
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kmeans_grid() - Run a grid of k-means clustering models
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strline() - Identify straightliners in grid questions
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lowqual_gpt() - Identify low-quality open-ended responses using the OpenAI API
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export_coding() - Export a coding workbook
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import_coding() - Import a coding workbook and merge coded variable into the dataset
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theme_gpt() - Generate a thematic code list using the OpenAI API
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code_gpt() - Code open-ended survey responses using the OpenAI API
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code_gpt_to_df() - Process
code_gpt()output to the dataset -
code_gpt_to_excel() - Write
code_gpt()results to Excel workbook
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combine() - Combine split variables into a single variable
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print(<tab_result>) - Custom print method for
tab()results -
print(<tab_mr_result>) - Custom print method for
tab_mr()results -
print(<tab_grid_result>) - Custom print method for
tab_grid()results -
print(<tab_grid_t_result>) - Custom print method for
tab_grid_t()results