{ "_id": "6a1038fbacfb0bcc41c9ac55", "Package": "kim", "Title": "A Toolkit for Behavioral Scientists", "Version": "0.6.4", "Authors@R": "person(given = \"Jin\",\nfamily = \"Kim\",\nrole = c(\"aut\", \"cre\"),\nemail = \"jinkim@aya.yale.edu\",\ncomment = c(ORCID = \"https://orcid.org/0000-0002-5013-3958\"))", "Description": "A collection of functions for analyzing data typically\ncollected or used by behavioral scientists. Examples of the\nfunctions include a function that compares groups in a\nfactorial experimental design, a function that conducts two-way\nanalysis of variance (ANOVA), and a function that cleans a data\nset generated by Qualtrics surveys. Some of the functions will\nrequire installing additional package(s). Such packages and\nother references are cited within the section describing the\nrelevant functions. Many functions in this package rely heavily\non these two popular R packages: Dowle et al. (2021)\n. Wickham et al.\n(2021) .", "License": "GPL-3", "URL": "https://github.com/jinkim3/kim, https://jinkim.science", "BugReports": "https://github.com/jinkim3/kim/issues", "Encoding": "UTF-8", "RoxygenNote": "7.3.2", "Roxygen": "list(markdown = TRUE)", "Config/testthat/edition": "3", "Config/pak/sysreqs": "git", "Repository": "https://jinkim3.r-universe.dev", "Date/Publication": "2026-01-12 01:23:38 UTC", "RemoteUrl": "https://github.com/jinkim3/kim", "RemoteRef": "HEAD", "RemoteSha": "f847ecc4aedc13ec01a7da55933fe3d4f232ad0f", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-12 05:43:06 UTC", "User": "root" }, "Author": "Jin Kim [aut, cre] (ORCID: )", "Maintainer": "Jin Kim ", "MD5sum": "016adfe7258fc2149c57fcdde0f6d004", "_user": "jinkim3", "_type": "src", "_file": "kim_0.6.4.tar.gz", "_fileid": "07904a6479ad78f914869ba9d40f55e28458cbbdc004a13a0037c7227b7303c5", "_filesize": 700397, "_sha256": "07904a6479ad78f914869ba9d40f55e28458cbbdc004a13a0037c7227b7303c5", "_created": 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"topics": [ "chi_squared_test" ] }, { "page": "chi_squared_test_pairwise", "title": "Chi-squared test, pairwise", "topics": [ "chi_squared_test_pairwise" ] }, { "page": "ci_of_mean", "title": "Confidence Interval of the Mean of a Vector", "topics": [ "ci_of_mean" ] }, { "page": "clean_data_from_qualtrics", "title": "Clean data from Qualtrics", "topics": [ "clean_data_from_qualtrics" ] }, { "page": "coefficent_of_variation", "title": "Coefficient of variation", "topics": [ "coefficent_of_variation" ] }, { "page": "cohen_d", "title": "Calculate Cohen's d and its confidence interval using the package 'psych'", "topics": [ "cohen_d" ] }, { "page": "cohen_d_borenstein", "title": "Calculate Cohen's d as illustrated by Borenstein et al. 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"compare_datasets", "title": "Compare data sets", "topics": [ "compare_datasets" ] }, { "page": "compare_dependent_rs", "title": "Compare dependent correlations", "topics": [ "compare_dependent_rs" ] }, { "page": "compare_effect_sizes", "title": "Compare effect sizes", "topics": [ "compare_effect_sizes" ] }, { "page": "compare_groups", "title": "Compare groups", "topics": [ "compare_groups" ] }, { "page": "compare_independent_rs", "title": "Compare independent correlations", "topics": [ "compare_independent_rs" ] }, { "page": "contingency_table", "title": "Contingency table", "topics": [ "contingency_table" ] }, { "page": "convert_cols_to_numeric", "title": "Convert columns to numeric", "topics": [ "convert_cols_to_numeric" ] }, { "page": "convert_to_excel_formula", "title": "Convert character to Excel formula", "topics": [ "convert_to_excel_formula" ] }, { "page": "convert_to_numeric_if_ok", "title": "Convert a vector to numeric if appropriate", "topics": [ "convert_to_numeric_if_ok" ] }, { "page": "correlation_kim", "title": "Estimate the correlation between two variables", "topics": [ "correlation_kim" ] }, { "page": "correlation_matrix", "title": "correlation matrix", "topics": [ "correlation_matrix" ] }, { "page": "cum_percent_plot", "title": "Cumulative percentage plot", "topics": [ "cum_percent_plot" ] }, { "page": "desc_stats", "title": "Descriptive statistics", "topics": [ "desc_stats" ] }, { "page": "desc_stats_by_group", "title": "Descriptive statistics by group", "topics": [ "desc_stats_by_group" ] }, { "page": "detach_user_installed_pkgs", "title": "Detach all user-installed packages", "topics": [ "detach_user_installed_pkgs" ] }, { "page": "duplicated_values", "title": "Duplicated values in a vector", "topics": [ "duplicated_values" ] }, { "page": "excel_formula_convert", "title": "Excel formula, convert (to)", "topics": [ "excel_formula_convert" ] }, { "page": "exit_from_parent_function", "title": "Exit from a Parent Function", "topics": [ "exit_from_parent_function" ] }, { "page": "factorial_anova_2_way", "title": "Factorial ANOVA 2-Way (Two-Way Factorial ANOVA)", "topics": [ "factorial_anova_2_way" ] }, { "page": "find_duplicates", "title": "Find duplicated values in a vector", "topics": [ "find_duplicates" ] }, { "page": "fisher_z_transform", "title": "Fisher's Z transformation", "topics": [ "fisher_z_transform" ] }, { "page": "floodlight_2_by_continuous", "title": "Floodlight 2 by Continuous", "topics": [ "floodlight_2_by_continuous" ] }, { "page": "floodlight_2_by_continuous_logistic", "title": "Floodlight 2 by Continuous for a Logistic Regression", "topics": [ "floodlight_2_by_continuous_logistic" ] }, { "page": "floodlight_2_by_continuous_mlm_logistic", "title": "Floodlight 2 by Continuous for a Multilevel Logistic Regression", "topics": [ "floodlight_2_by_continuous_mlm_logistic" ] }, { "page": "floodlight_for_contrasts", "title": "Floodlight Analyses for a Set of Contrasts", "topics": [ "floodlight_for_contrasts" ] }, { "page": "floodlight_multi_by_continuous", "title": "Floodlight Multicategorical by Continuous", "topics": [ "floodlight_multi_by_continuous" ] }, { "page": "forest_plot", "title": "Forest plot", "topics": [ "forest_plot" ] }, { "page": "geomean", "title": "Geometric mean", "topics": [ "geomean" ] }, { "page": "ggsave_quick", "title": "ggsave quick", "topics": [ "ggsave_quick" ] }, { "page": "histogram", "title": "Histogram", "topics": [ "histogram" ] }, { "page": "histogram_by_group", "title": "Histogram by group", "topics": [ "histogram_by_group" ] }, { "page": "histogram_deprecated_1", "title": "Histogram", "topics": [ "histogram_deprecated_1" ] }, { "page": "histogram_from_hist", "title": "Histogram from hist function", "topics": [ "histogram_from_hist" ] }, { "page": "histogram_w_outlier_bins", "title": "Histogram with outlier bins", "topics": [ "histogram_w_outlier_bins" ] }, { "page": "holm_adjusted_p", "title": "Holm-adjusted p-values", "topics": [ "holm_adjusted_p" ] }, { "page": "id_across_datasets", "title": "ID across datasets", "topics": [ "id_across_datasets" ] }, { "page": "identical_all", "title": "Check whether all inputs are identical", "topics": [ "identical_all" ] }, { "page": "install_all_dependencies", "title": "Install all dependencies for all functions", "topics": [ "install_all_dependencies" ] }, { "page": "kurtosis", "title": "Kurtosis", "topics": [ "kurtosis" ] }, { "page": "lenu", "title": "lenu: Length of unique values", "topics": [ "lenu" ] }, { "page": "levene_test", "title": "Levene's test", "topics": [ "levene_test" ] }, { "page": "log_odds_ratio", "title": "Log odds ratio", "topics": [ "log_odds_ratio" ] }, { "page": "log_odds_ratio_to_d", "title": "Convert log odds ratio to Cohen's d", "topics": [ "log_odds_ratio_to_d" ] }, { "page": "logistic_reg_w_interaction", "title": "Logistic regression with an interaction term", "topics": [ "logistic_reg_w_interaction" ] }, { "page": 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"merge_data_table_list" ] }, { "page": "merge_data_tables", "title": "Merge data tables", "topics": [ "merge_data_tables" ] }, { "page": "mixed_anova_2_way", "title": "Mixed ANOVA 2-Way (Two-Way Mixed ANOVA)", "topics": [ "mixed_anova_2_way" ] }, { "page": "modes_of_objects", "title": "Find modes of objects", "topics": [ "modes_of_objects" ] }, { "page": "multiple_regression", "title": "Multiple regression", "topics": [ "multiple_regression" ] }, { "page": "noncentrality_parameter", "title": "Find noncentrality parameter", "topics": [ "noncentrality_parameter" ] }, { "page": "odds_ratio", "title": "Odds ratio", "topics": [ "odds_ratio" ] }, { "page": "order_rows_specifically_in_dt", "title": "Order rows specifically in a data table", "topics": [ "order_rows_specifically_in_dt" ] }, { "page": "outlier", "title": "Outlier", "topics": [ "outlier" ] }, { "page": "overlapping_interval", "title": "Find the overlapping interval of two ranges.", "topics": [ "overlapping_interval" ] }, { "page": "p0", "title": "Paste0", "topics": [ "p0" ] }, { "page": "package_list_default", "title": "Packages - List the default packages", "topics": [ "package_list_default" ] }, { "page": "parallel_analysis", "title": "Parallel analysis", "topics": [ "parallel_analysis" ] }, { "page": "percentile_rank", "title": "Percentile rank", "topics": [ "percentile_rank" ] }, { "page": "pivot_table", "title": "Pivot Table", "topics": [ "pivot_table" ] }, { "page": "plot_group_means", "title": "Plot group means", "topics": [ "plot_group_means" ] }, { "page": "pm", "title": "Paste for message", "topics": [ "pm" ] }, { "page": "population_variance", "title": "Population variance of a vector", "topics": [ "population_variance" ] }, { "page": "prep", "title": "Prepare package(s) for use", "topics": [ "prep" ] }, { "page": "pretty_round_p_value", "title": "Pretty round p-value", "topics": [ "pretty_round_p_value" ] }, { "page": "pretty_round_r", "title": "Pretty round r", "topics": [ "pretty_round_r" ] }, { "page": "print_loop_progress", "title": "print loop progress", "topics": [ "print_loop_progress" ] }, { "page": "proportion_of_values_in_vector", "title": "Proportion of given values in a vector", "topics": [ "proportion_of_values_in_vector" ] }, { "page": "q_stat_test_homo_r", "title": "Q statistic for testing homogeneity of correlations", "topics": [ "q_stat_test_homo_r" ] }, { "page": "read_csv", "title": "Read a csv file", "topics": [ "read_csv" ] }, { "page": "read_sole_csv", "title": "Read the sole csv file in the working directory", "topics": [ "read_sole_csv" ] }, { "page": "regex_match", "title": "Regular expression matches", "topics": [ "regex_match" ] }, { "page": "rel_pos_of_value_in_vector", "title": "Find relative position of a value in a vector", "topics": [ "rel_pos_of_value_in_vector" ] }, { "page": "rel_value_of_pos_in_vector", "title": "Find relative value of a position in a vector", "topics": [ "rel_value_of_pos_in_vector" ] }, { "page": "remove_from_vector", 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