A B C D E F G K L M N O P R S T U V W
| ancova | Analysis of Covariance: ANCOVA |
| anova.linear_regression | ANOVA for a linear_regression model |
| anova.logistic_regression | ANOVA for a logistic_regression model |
| binomial_test | Test Whether a Proportion Matches an Expected Value |
| center | Center Variables (Mean Centering) |
| chisq_gof | Chi-Square Goodness-of-Fit Test |
| chi_square | Test If Two Categories Are Related |
| codebook | Create a Codebook for Your Data |
| copy_labels | Copy Labels from One Data Frame to Another |
| cramers_v | Effect Sizes for Contingency Tables |
| crosstab | Compare Two Categories: See How They Relate |
| describe | Get to Know Your Numeric Data |
| drop_labels | Remove Unused Value Labels |
| dunn_test | Find Which Specific Groups Differ After Kruskal-Wallis |
| dunn_test.default | Find Which Specific Groups Differ After Kruskal-Wallis |
| efa | Explore the Structure Behind Your Survey Items |
| factorial_anova | Compare Groups Across Multiple Factors: Factorial ANOVA |
| find_var | Find Variables by Name or Label |
| fisher_test | Fisher's Exact Test for Small Samples |
| fre | Count How Many People Chose Each Option |
| frequency | Count How Many People Chose Each Option |
| friedman_test | Compare Three or More Related Measurements Without Assuming Normality |
| goodman_gamma | Effect Sizes for Contingency Tables |
| kendall_tau | Kendall's Tau Correlation Analysis |
| kruskal_wallis | Compare Multiple Groups Without Assuming Normal Data |
| levene_test | Test If Groups Vary Similarly |
| levene_test.data.frame | Test If Groups Vary Similarly |
| levene_test.default | Test If Groups Vary Similarly |
| levene_test.grouped_df | Test If Groups Vary Similarly |
| levene_test.mann_whitney | Test If Groups Vary Similarly |
| levene_test.oneway_anova | Test If Groups Vary Similarly |
| levene_test.t_test | Test If Groups Vary Similarly |
| linear_regression | Run a Linear Regression |
| logistic_regression | Run a Logistic Regression |
| longitudinal_data | Longitudinal Study Data (Synthetic) |
| longitudinal_data_wide | Longitudinal Study Data - Wide Format (Synthetic) |
| mann_whitney | Compare Two Groups Without Assuming Normal Data |
| marginal_effects | Average Marginal Effects |
| mcnemar_test | McNemar's Test for Paired Proportions |
| multiple_response | Analyze Multiple Response Sets |
| na_frequencies | Frequency Table of Missing Value Types |
| normality_test | Test Variables for Normality |
| oneway_anova | Compare Multiple Groups: Are Their Averages Different? |
| pairwise_wilcoxon | Find Which Specific Measurements Differ After Friedman Test |
| pairwise_wilcoxon.default | Find Which Specific Measurements Differ After Friedman Test |
| partial_cor | Partial Correlation |
| pearson_cor | Measure How Strongly Variables Are Related |
| phi | Effect Sizes for Contingency Tables |
| pomps | Transform Scores to Percent of Maximum Possible (POMPS) |
| predict.linear_regression | Predict from a linear_regression model |
| predict.logistic_regression | Predict from a logistic_regression model |
| print.ancova | Print ANCOVA results (compact) |
| print.binomial_test | Print binomial test results (compact) |
| print.chisq_gof | Print chi-square goodness-of-fit test results (compact) |
| print.chi_square | Print chi-squared test results (compact) |
| print.codebook | Print a Compact Console Overview of the Codebook |
| print.crosstab | Print method for crosstab results (compact) |
| print.describe | Print method for describe objects |
| print.dunn_test | Print Dunn post-hoc test results (compact) |
| print.efa | Print EFA results (compact) |
| print.factorial_anova | Print factorial ANOVA results (compact) |
| print.fisher_test | Print Fisher's exact test results (compact) |
| print.frequency | Print method for frequency objects (compact) |
| print.friedman_test | Print Friedman test results (compact) |
| print.kendall_tau | Print Kendall's tau results (compact) |
| print.kruskal_wallis | Print Kruskal-Wallis test results (compact) |
| print.levene_test | Print Levene test results (compact) |
| print.linear_regression | Print linear regression results (compact) |
| print.logistic_regression | Print logistic regression results (compact) |
| print.mann_whitney | Print Mann-Whitney test results (compact) |
| print.marginal_effects | Print average marginal effects (compact) |
| print.mcnemar_test | Print McNemar test results (compact) |
| print.multiple_response | Print multiple response results (compact) |
| print.normality_test | Print normality test results (compact) |
| print.oneway_anova | Print ANOVA test results (compact) |
| print.pairwise_wilcoxon | Print pairwise Wilcoxon post-hoc test results (compact) |
| print.partial_cor | Print partial correlation results (compact) |
| print.pearson_cor | Print Pearson correlation results (compact) |
| print.reliability | Print reliability results (compact) |
| print.scheffe_test | Print Scheffe test results (compact) |
| print.spearman_rho | Print Spearman correlation results (compact) |
| print.summary.ancova | Print summary of ANCOVA results (detailed output) |
| print.summary.binomial_test | Print summary of binomial test results (detailed output) |
| print.summary.chisq_gof | Print summary of chi-square goodness-of-fit results (detailed output) |
| print.summary.chi_square | Print summary of chi-squared test results (detailed output) |
| print.summary.codebook | Print a Detailed Console Codebook Summary |
| print.summary.crosstab | Print summary of crosstab results (detailed output) |
| print.summary.describe | Print summary of describe results (detailed output) |
| print.summary.dunn_test | Print summary of Dunn post-hoc test results (detailed output) |
| print.summary.efa | Print summary of EFA results (detailed output) |
| print.summary.factorial_anova | Print summary of factorial ANOVA results (detailed output) |
| print.summary.fisher_test | Print summary of Fisher's exact test results (detailed output) |
| print.summary.frequency | Print summary of frequency results (detailed output) |
| print.summary.friedman_test | Print summary of Friedman test results (detailed output) |
| print.summary.kendall_tau | Print summary of Kendall's tau correlation results (detailed output) |
| print.summary.kruskal_wallis | Print summary of Kruskal-Wallis test results (detailed output) |
| print.summary.levene_test | Print summary of Levene test results (detailed output) |
| print.summary.linear_regression | Print summary of linear regression results (detailed output) |
| print.summary.logistic_regression | Print summary of logistic regression results (detailed output) |
| print.summary.mann_whitney | Print summary of Mann-Whitney test results (detailed output) |
| print.summary.marginal_effects | Print summary of average marginal effects (detailed output) |
| print.summary.mcnemar_test | Print summary of McNemar test results (detailed output) |
| print.summary.multiple_response | Print summary of multiple response results (detailed output) |
| print.summary.normality_test | Print summary of normality test results (detailed output) |
| print.summary.oneway_anova | Print summary of one-way ANOVA results (detailed output) |
| print.summary.pairwise_wilcoxon | Print summary of pairwise Wilcoxon post-hoc test results (detailed output) |
| print.summary.partial_cor | Print summary of partial correlation results (detailed output) |
| print.summary.pearson_cor | Print summary of Pearson correlation results (detailed output) |
| print.summary.reliability | Print summary of reliability analysis results (detailed output) |
| print.summary.scheffe_test | Print summary of Scheffe test results (detailed output) |
| print.summary.spearman_rho | Print summary of Spearman correlation results (detailed output) |
| print.summary.tukey_test | Print summary of Tukey HSD test results (detailed output) |
| print.summary.t_test | Print summary of t-test results (detailed output) |
| print.summary.wilcoxon_test | Print summary of Wilcoxon signed-rank test results (detailed output) |
| print.tukey_test | Print Tukey HSD test results (compact) |
| print.t_test | Print t-test results (compact) |
| print.wilcoxon_test | Print Wilcoxon signed-rank test results (compact) |
| print.w_modus | Print method for w_modus objects |
| read_por | Read SPSS Portable Data with Tagged Missing Values |
| read_sas | Read SAS Data with Tagged Missing Values |
| read_spss | Read SPSS Data with Tagged Missing Values |
| read_stata | Read Stata Data with Tagged Missing Values |
| read_xlsx | Read Excel Data with Label Reconstruction |
| read_xpt | Read SAS Transport File with Tagged Missing Values |
| rec | Recode Variables Using String Syntax |
| reliability | Check How Reliably Your Scale Measures a Concept |
| row_count | Count Occurrences of a Value Across Columns |
| row_means | Compute Row Means Across Items |
| row_sums | Compute Row Sums Across Items |
| scheffe_test | Compare All Groups More Conservatively After ANOVA |
| scheffe_test.default | Compare All Groups More Conservatively After ANOVA |
| set_na | Declare Values as Missing |
| spearman_rho | Spearman's Rank Correlation Analysis |
| std | Standardize Variables (Z-Scores) |
| strip_tags | Strip Tags from Tagged NAs |
| summary.ancova | Summary method for ANCOVA results |
| summary.binomial_test | Summary method for binomial test results |
| summary.chisq_gof | Summary method for chi-square goodness-of-fit test results |
| summary.chi_square | Summary method for chi-squared test results |
| summary.codebook | Detailed Console Summary of the Codebook |
| summary.crosstab | Summary method for crosstab results |
| summary.describe | Summary method for describe results |
| summary.dunn_test | Summary method for Dunn post-hoc test results |
| summary.efa | Summarize an exploratory factor analysis |
| summary.factorial_anova | Summary method for factorial ANOVA results |
| summary.fisher_test | Summary method for Fisher's exact test results |
| summary.frequency | Summary method for frequency results |
| summary.friedman_test | Summary method for Friedman test results |
| summary.kendall_tau | Summary method for Kendall's tau correlation results |
| summary.kruskal_wallis | Summary method for Kruskal-Wallis test results |
| summary.levene_test | Summary method for Levene test results |
| summary.linear_regression | Summary method for linear regression results |
| summary.logistic_regression | Summary method for logistic regression results |
| summary.mann_whitney | Summary method for Mann-Whitney test results |
| summary.marginal_effects | Summary method for average marginal effects |
| summary.mcnemar_test | Summary method for McNemar test results |
| summary.multiple_response | Summary method for multiple response results |
| summary.normality_test | Summary method for normality test results |
| summary.oneway_anova | Summary method for one-way ANOVA results |
| summary.pairwise_wilcoxon | Summary method for pairwise Wilcoxon post-hoc test results |
| summary.partial_cor | Summary method for partial correlation results |
| summary.pearson_cor | Summary method for Pearson correlation results |
| summary.reliability | Summarize a reliability analysis |
| summary.scheffe_test | Summary method for Scheffe test results |
| summary.spearman_rho | Summary method for Spearman correlation results |
| summary.tukey_test | Summary method for Tukey HSD test results |
| summary.t_test | Summary method for t-test results |
| summary.wilcoxon_test | Summary method for Wilcoxon signed-rank test results |
| survey_data | Social Survey Data (Synthetic) |
| to_character | Convert Labelled Variables to Character |
| to_dummy | Create Dummy Variables (One-Hot Encoding) |
| to_label | Convert Labelled Variables to Factors |
| to_labelled | Convert Variables to Labelled Format |
| to_numeric | Convert Factors or Labelled Variables to Numeric |
| tukey_test | Find Which Specific Groups Differ After ANOVA |
| tukey_test.default | Find Which Specific Groups Differ After ANOVA |
| t_test | Test If Two Groups Differ |
| unlabel | Remove All Label Metadata |
| untag_na | Convert Tagged NAs Back to Original Codes |
| val_labels | Get or Set Value Labels |
| var_label | Get or Set Variable Labels |
| wilcoxon_test | Compare Two Related Measurements Without Assuming Normality |
| write_spss | Export Data to SPSS Format |
| write_stata | Export Data to Stata Format |
| write_xlsx | Export Data to Excel with Label Support |
| write_xlsx.frequency | Export Data to Excel with Label Support |
| write_xpt | Export Data to SAS Transport Format |
| w_iqr | Measure Population-Representative Spread (IQR) |
| w_kurtosis | Measure Population-Representative Kurtosis |
| w_mean | Calculate Population-Representative Averages |
| w_median | Find the Population-Representative Middle Value |
| w_modus | Find the Most Common Value in Your Population |
| w_quantile | Calculate Population-Representative Percentiles |
| w_range | Find the Range of Your Data |
| w_sd | Calculate Population-Representative Standard Deviations |
| w_se | Calculate Population-Representative Standard Errors |
| w_skew | Measure Population-Representative Skewness |
| w_var | Calculate Population-Representative Variance |