Package index
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data_bmi - Sample data for body mass index (BMI) calculations.
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data_bmicat - Sample data for body mass index (BMI) categorization.
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data_cancer - Sample data: Survival of cancer patients in days.
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data_cancer2 - Sample data: Survival of cancer patients in days.
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data_gadgets - Sample data: Gadgets owned by individuals
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data_misspelled - Sample dataset with general information.
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data_phone - Sample data for phone satistifaction feedback.
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data_rename - Sample data for demographic and socioeconomic information.
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data_sample - Sample data for demographic, technology, and employment information.
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dict_labels - Dictionary with variable labels.
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dict_misspelled - A dictionary with variable mappings for data standardization.
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dict_recode - A dictionary with ariable value mappings with labels and ordered status.
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dict_rename - A dictionary for variable name changes.
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dta_bmi() - Calculate body mass index (BMI)
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dta_bmicat() - Categorize BMI into weight categories
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dta_columns() - Retrieve column names from a data frame
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dta_crosstab() - Generate cross tabulations with optional percentages and totals
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dta_drop_with_warning() - Drop rows with missing values and issue a warning
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dta_duplicates() - Find duplicate rows based on specific columns
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dta_freq() - Get frequency distribution of a specific column
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dta_freq_mrq() - Frequency table for multiple response questions
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dta_get_datasets() - Export the sample datasets to file
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dta_gtable() - Create a styled gt table
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dta_label() - Assign variable labels to data frame or tibble columns
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dta_mrq() - Split multiple response question column into binary columns
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dta_path() - Get the path to the example dataset
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dta_recode() - Recode variables in a data frame based on a dictionary
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dta_recode_auto() - Automatically recode categorical variables in a data frame
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dta_recode_common_labels() - Recode columns using common labels
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dta_rename() - Rename columns in a data frame and tibble based on a dictionary
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dta_replace() - Correct misspelled data using a dictionary
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dta_to_numeric() - Convert numeric strings in a data frame or tibble to numeric numbers
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dta_transpose() - Transpose a data frame with specified column as variable names