Package index
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code_book() - Generate an interactive variable codebook
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label_from_names() - Derive variable labels from column names
name<sep>label -
varlist()vl() - Generate a comprehensive summary of the variables
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cross_tab() - Cross-tabulation
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freq() - Frequency Table
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assoc_measures() - Association measures summary table
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contingency_coef() - Pearson's contingency coefficient
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cramer_v() - Cramer's V
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gamma_gk() - Goodman-Kruskal Gamma
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goodman_kruskal_tau() - Goodman-Kruskal's Tau
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kendall_tau_b() - Kendall's Tau-b
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kendall_tau_c() - Kendall's Tau-c (Stuart's Tau-c)
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lambda_gk() - Goodman-Kruskal's Lambda
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phi() - Phi coefficient
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somers_d() - Somers' D
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uncertainty_coef() - Uncertainty Coefficient
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yule_q() - Yule's Q
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table_categorical() - Categorical summary table
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table_continuous() - Continuous summary table
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table_continuous_lm() - Continuous-outcome linear-model table
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table_regression() - Regression coefficient summary table
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as_structured() - Extract the typed (structured) view of a
spicy_regression_table
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copy_clipboard() - Copy data to the clipboard
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sochealth - Simulated social-health survey
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build_ascii_table() - Build a formatted ASCII table
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spicy_print_table() - Print a spicy-formatted ASCII table
Advanced S3 methods
Exported S3 methods. Most users dispatch them implicitly (print(x), broom::tidy(x), as.data.frame(x), tibble::as_tibble(x)). Documented here for direct invocation with custom arguments (e.g., print(..., digits = 2)).
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print(<spicy_assoc_detail>) - Print a detailed association measure result
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print(<spicy_assoc_table>) - Print an association measures summary table
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print(<spicy_categorical_table>) - Print method for categorical summary tables
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print(<spicy_continuous_lm_table>) - Print method for bivariate linear-model tables
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print(<spicy_continuous_table>) - Print method for continuous summary tables
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print(<spicy_cross_table>) - Print method for spicy_cross_table objects
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print(<spicy_cross_table_list>) - Internal print method for lists of cross-tab tables
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print(<spicy_freq_table>) - Print method for
freq()tables -
as.data.frame(<spicy_categorical_table>)as_tibble(<spicy_categorical_table>) - Coerce a
spicy_categorical_tableto a plain data frame or tibble -
as.data.frame(<spicy_continuous_lm_table>)as_tibble(<spicy_continuous_lm_table>) - Coerce a
spicy_continuous_lm_tableto a plain data frame or tibble -
as.data.frame(<spicy_continuous_table>)as_tibble(<spicy_continuous_table>) - Coerce a
spicy_continuous_tableto a plain data frame or tibble -
as.data.frame(<spicy_regression_table>)as_tibble(<spicy_regression_table>) - Convert a
spicy_regression_tableto a plain data.frame / tibble -
tidy(<spicy_categorical_table>)glance(<spicy_categorical_table>) - Tidying methods for a
spicy_categorical_table -
tidy(<spicy_continuous_lm_table>)glance(<spicy_continuous_lm_table>) - Tidying methods for a
spicy_continuous_lm_table -
tidy(<spicy_continuous_table>)glance(<spicy_continuous_table>) - Tidying methods for a
spicy_continuous_table -
tidy(<spicy_regression_table>)glance(<spicy_regression_table>) - Tidy / glance methods for
spicy_regression_table -
spicy_tables - Spicy table engine