Function reference
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read_data()write_data() - Import and export with various data formats
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browse() - Browse columns like Stata's
browsecommand
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ds()ds_as_column()names_as_column() - List column names by tidyselect
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variables()variables_search() - Show the variable list of a dataset
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codebook()codebook_detail() - View the codebook of a dataset or selected columns
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row_mean()row_sum()row_max()row_miss()row_non_miss()row_min()row_median()row_var()row_sd()row_unique() - Generate a variable based on row-wise operations.
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regress()regress_coef()regress_stat()regress_data() - Directly obtain the regression results
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tidy_coef() - Directly obtain the regression results
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na_if_value()value_if_na() - NA Conversion
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as_character()as_numeric() - Better type conversion
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print_headtail()print_interval()slice_headtail()slice_interval() - Print a long tibble with selected rows
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cut_quantile()cut_length()cut_breaks() - Cut a numeric vector into intervals.
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s_ggsave() - Quickly save a ggplot to a file
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s_match() - Tidyselect columns in stata style
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s_plot() - Quick plot
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s_select() - Enhanced select() with data-masking
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s_time() - Time spent on a function
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s_try() - Try a function and return a logical
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set_seed() - Set seeds with pipeline.
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skew()kurtosis() - Skewness and kurtosis