.cronbach               Bootstrap Function for 'cronbach()' Function
.cronbachs              Bootstrap Function for 'cronbachs()' Function
.gtheory                Bootstrap Function for 'gtheory()' Function
.gtheorys               Bootstrap Function for 'gtheorys()' Function
add_sig                 Add Significance Symbols to a (Atomic) Vector,
                        Matrix, or Array
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 Coefficients
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 Errors
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 Symbols
corp_ml                 Multilevel Correlation Matrices with
                        Significant Symbols
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
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 Scores
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 Analysis: ICC(1,1)
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.dumNA              Make Dummy Columns For Missing Data.
make.dummy              Make Dummy Columns
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 t-test)
mean_compare            Mean differences for a single variable across
                        3+ independent groups (one-way ANOVA)
mean_diff               Mean difference across two independent groups
                        (independent two-samples t-test)
mean_if                 Mean Conditional on Minimum Frequency of
                        Observed Values
mean_test               Test for Sample Mean Against Mu (one-sample
                        t-test)
means_change            Mean Changes Across Two Timepoints For Multiple
                        PrePost Pairs of Variables (dependent
                        two-samples t-tests)
means_compare           Mean differences for multiple variables across
                        3+ independent groups (one-way ANOVAs)
means_diff              Mean differences across two independent groups
                        (independent two-samples t-tests)
means_test              Test for Multiple Sample Means Against Mu
                        (one-sample t-tests)
mode2                   Statistical Mode of a Numeric Vector
n_compare               Test for Equal Frequency of Values (chi-square
                        test of goodness of fit)
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
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 (POMP) Units
pomps                   Recode Numeric Data to Percentage of Maximum
                        Possible (POMP) Units
prop_compare            Proportion Comparisons for a Single Variable
                        across 3+ Independent Groups (Chi-square Test
                        of Independence)
prop_diff               Proportion Difference for a Single Variable
                        across Two Independent Groups (Chi-square Test
                        of Independence)
prop_test               Test for Sample Proportion Against Pi
                        (chi-square test of goodness of fit)
props_compare           Proportion Comparisons for Multiple Variables
                        across 3+ Independent Groups (Chi-square Tests
                        of Independence)
props_diff              Proportion Difference of Multiple Variables
                        Across Two Independent Groups (Chi-square Tests
                        of Independence)
props_test              Test for Multiple Sample Proportion Against Pi
                        (Chi-square Tests of Goodness of Fit)
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
rowSums_if              Row Sums Conditional on Frequency of Observed
                        Values
rowsNA                  Frequency of Multiple Sets of Missing Values by
                        Row
score                   Observed Unweighted Scoring of a Set of
                        Variables/Items
scores                  Observed Unweighted Scoring of Multiple Sets of
                        Variables/Items
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
valid_test              Test for Invalid Elements in a Vector
valids_test             Test for Invalid Elements in Data
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
