| add_sig | Add Significance Symbols to a (Atomic) Vector, Matrix, or... |
| add_sig_cor | Add Significance Symbols to a Correlation Matrix |
| agg | Aggregate an Atomic Vector by Group |
| agg_dfm | Data Information by Group |
| aggs | Aggregate Data by Group |
| amd_bi | Amount of Missing Data - Bivariate (Pairwise Deletion) |
| amd_multi | Amount of Missing Data - Multivariate (Listwise Deletion) |
| amd_uni | Amount of Missing Data - Univariate |
| auto_by | Autoregressive Coefficient by Group |
| ave_dfm | Repeated Group Statistics for a Data-Frame |
| boot_ci | Bootstrapped Confidence Intervals from a Matrix of... |
| by2 | Apply a Function to Data by Group |
| center | Centering and/or Standardizing a Numeric Vector |
| center_by | Centering and/or Standardizing a Numeric Vector by Group |
| centers | Centering and/or Standardizing Numeric Data |
| centers_by | Centering and/or Standardizing Numeric Data by Group |
| change | Change Score from a Numeric Vector |
| change_by | Change Scores from a Numeric Vector by Group |
| changes | Change Scores from Numeric Data |
| changes_by | Change Scores from Numeric Data by Group |
| colMeans_if | Column Means Conditional on Frequency of Observed Values |
| colNA | Frequency of Missing Values by Column |
| colSums_if | Column Sums Conditional on Frequency of Observed Values |
| composite | Composite Reliability of a Score |
| composites | Composite Reliability of Multiple Scores |
| confint2 | Confidence Intervals from Statistical Information |
| confint2.boot | Bootstrapped Confidence Intervals from a 'boot' Object |
| confint2.default | Confidence Intervals from Parameter Estimates and Standard... |
| cor_by | Correlation Matrix by Group |
| cor_miss | Point-biserial Correlations of Missingness |
| cor_ml | Multilevel Correlation Matrices |
| corp | Bivariate Correlations with Significant Symbols |
| corp_by | Bivariate Correlations with Significant Symbols by Group |
| corp_miss | Point-biserial Correlations of Missingness With Significant... |
| corp_ml | 'corp_ml' decomposes correlations from multilevel data into... |
| covs_test | Covariances Test of Significance |
| cronbach | Cronbach's Alpha of a Set of Variables/Items |
| cronbachs | Cronbach's Alpha for Multiple Sets of Variables/Items |
| decompose | Decompose a Numeric Vector by Group |
| decomposes | Decompose Numeric Data by Group |
| deff | Design Effect from Multilevel Numeric Vector |
| deffs | Design Effects from Multilevel Numeric Data |
| describe_ml | Multilevel Descriptive Statistics |
| dot-cronbach | Bootstrap Function for 'cronbach()' Function |
| dot-cronbachs | Bootstrap Function for 'cronbachs()' Function |
| dot-gtheory | Bootstrap Function for 'gtheory()' Function |
| dot-gtheorys | Bootstrap Function for 'gtheorys()' Function |
| dum2nom | Dummy Variables to a Nominal Variable |
| freq | Univariate Frequency Table |
| freq_by | Univariate Frequency Table By Group |
| freqs | Multiple Univariate Frequency Tables |
| freqs_by | Multiple Univariate Frequency Tables |
| gtheory | Generalizability Theory Reliability of a Score |
| gtheory_ml | Generalizability Theory Reliability of a Multilevel Score |
| gtheorys | Generalizability Theory Reliability of Multiple Scores |
| gtheorys_ml | Generalizability Theory Reliability of Multiple Multilevel... |
| icc_11 | Intraclass Correlation for Multilevel Analysis: ICC(1,1) |
| icc_all_by | All Six Intraclass Correlations by Group |
| iccs_11 | Intraclass Correlation for Multiple Variables for Multilevel... |
| length_by | Length of a (Atomic) Vector by Group |
| lengths_by | Length of Data Columns by Group |
| long2wide | Reshape Multiple Scores From Long to Wide |
| make.dummy | Make Dummy Columns |
| make.dumNA | Make Dummy Columns For Missing Data. |
| make.fun_if | Make a Function Conditional on Frequency of Observed Values |
| make.latent | Make Model Syntax for a Latent Factor in Lavaan |
| make.product | Make Product Terms (e.g., interactions) |
| mean_change | Mean Change Across Two Timepoints (dependent two-samples... |
| mean_compare | Mean differences for a single variable across 3+ independent... |
| mean_diff | Mean difference across two independent groups (independent... |
| mean_if | Mean Conditional on Minimum Frequency of Observed Values |
| means_change | Mean Changes Across Two Timepoints For Multiple PrePost Pairs... |
| means_compare | Mean differences for multiple variables across 3+ independent... |
| means_diff | Mean differences across two independent groups (independent... |
| means_test | Test for Multiple Sample Means Against Mu (one-sample... |
| mean_test | Test for Sample Mean Against Mu (one-sample t-test) |
| mode2 | Statistical Mode of a Numeric Vector |
| ncases | Number of Cases in Data |
| ncases_by | Number of Cases in Data by Group |
| ncases_desc | Describe Number of Cases in Data by Group |
| ncases_ml | Multilevel Number of Cases |
| n_compare | Test for Equal Frequency of Values (chi-square test of... |
| ngrp | Number of Groups in Data |
| nhst | Null Hypothesis Significance Testing |
| nom2dum | Nominal Variable to Dummy Variables |
| nrow_by | Number of Rows in Data by Group |
| nrow_ml | Multilevel Number of Rows |
| partial.cases | Find Partial Cases |
| pomp | Recode a Numeric Vector to Percentage of Maximum Possible... |
| pomps | Recode Numeric Data to Percentage of Maximum Possible (POMP)... |
| prop_compare | Proportion Comparisons for a Single Variable across 3+... |
| prop_diff | Proportion Difference for a Single Variable across Two... |
| props_compare | Proportion Comparisons for Multiple Variables across 3+... |
| props_diff | Proportion Difference of Multiple Variables Across Two... |
| props_test | Test for Multiple Sample Proportion Against Pi (Chi-square... |
| prop_test | Test for Sample Proportion Against Pi (chi-square test of... |
| quest-package | Pre-processing Questionnaire Data |
| recode2other | Recode Unique Values in a Character Vector to 0ther (or NA) |
| recodes | Recode Data |
| renames | Rename Data Columns from a Codebook |
| reorders | Reorder Levels of Factor Data |
| revalid | Recode Invalid Values from a Vector |
| revalids | Recode Invalid Values from Data |
| reverse | Reverse Code a Numeric Vector |
| reverses | Reverse Code Numeric Data |
| rowMeans_if | Row Means Conditional on Frequency of Observed Values |
| rowNA | Frequency of Missing Values by Row |
| rowsNA | Frequency of Multiple Sets of Missing Values by Row |
| rowSums_if | Row Sums Conditional on Frequency of Observed Values |
| score | Observed Unweighted Scoring of a Set of Variables/Items |
| scores | Observed Unweighted Scoring of Multiple Sets of... |
| shift | Shift a Vector (i.e., lag/lead) |
| shift_by | Shift a Vector (i.e., lag/lead) by Group |
| shifts | Shift Data (i.e., lag/lead) |
| shifts_by | Shift Data (i.e., lag/lead) by Group |
| sum_if | Sum Conditional on Minimum Frequency of Observed Values |
| summary_ucfa | Summary of a Unidimensional Confirmatory Factor Analysis |
| tapply2 | Apply a Function to a (Atomic) Vector by Group |
| ucfa | Unidimensional Confirmatory Factor Analysis |
| valids_test | Test for Invalid Elements in Data |
| valid_test | Test for Invalid Elements in a Vector |
| vecNA | Frequency of Missing Values in a Vector |
| wide2long | Reshape Multiple Sets of Variables From Wide to Long |
| winsor | Winsorize a Numeric Vector |
| winsors | Winsorize Numeric Data |
