R: Prepare Questionnaire Data for Analysis

# Prepare Questionnaire Data for Analysis

## Documentation for package ‘quest’ version 0.2.1

- DESCRIPTION file

## Help Pages

A B C D F G I L M N P Q R S T U V W misc

quest-package | Pre-processing Questionnaire Data

## -- A --

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
aggs | Aggregate Data by Group
agg_dfm | Data Information 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

## -- B --

boot_ci | Bootstrapped Confidence Intervals from a Matrix of Coefficients
by2 | Apply a Function to Data by Group

## -- C --

center | Centering and/or Standardizing a Numeric Vector
centers | Centering and/or Standardizing Numeric Data
centers_by | Centering and/or Standardizing Numeric Data by Group
center_by | Centering and/or Standardizing a Numeric Vector by Group
change | Change Score from a Numeric Vector
changes | Change Scores from Numeric Data
changes_by | Change Scores from Numeric Data by Group
change_by | Change Scores from a Numeric Vector 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
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
cor_by | Correlation Matrix by Group
cor_miss | Point-biserial Correlations of Missingness
cor_ml | Multilevel Correlation Matrices
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

## -- D --

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

## -- F --

freq | Univariate Frequency Table
freqs | Multiple Univariate Frequency Tables
freqs_by | Multiple Univariate Frequency Tables
freq_by | Univariate Frequency Table By Group

## -- G --

gtheory | Generalizability Theory Reliability of a Score
gtheorys | Generalizability Theory Reliability of Multiple Scores
gtheorys_ml | Generalizability Theory Reliability of Multiple Multilevel Scores
gtheory_ml | Generalizability Theory Reliability of a Multilevel Score

## -- I --

iccs_11 | Intraclass Correlation for Multiple Variables for Multilevel Analysis: ICC(1,1)
icc_11 | Intraclass Correlation for Multilevel Analysis: ICC(1,1)
icc_all_by | All Six Intraclass Correlations by Group

## -- L --

lengths_by | Length of Data Columns by Group
length_by | Length of a (Atomic) Vector by Group
long2wide | Reshape Multiple Scores From Long to Wide

## -- M --

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)
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)
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)
mode2 | Statistical Mode of a Numeric Vector

## -- N --

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
n_compare | Test for Equal Frequency of Values (chi-square test of goodness of fit)

## -- P --

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
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)
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)

## -- Q --

quest | Pre-processing Questionnaire Data

## -- R --

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

## -- S --

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)
shifts | Shift Data (i.e., lag/lead)
shifts_by | Shift Data (i.e., lag/lead) by Group
shift_by | Shift a Vector (i.e., lag/lead) by Group
summary_ucfa | Summary of a Unidimensional Confirmatory Factor Analysis
sum_if | Sum Conditional on Minimum Frequency of Observed Values

## -- T --

tapply2 | Apply a Function to a (Atomic) Vector by Group

## -- U --

ucfa | Unidimensional Confirmatory Factor Analysis

## -- V --

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

## -- W --

wide2long | Reshape Multiple Sets of Variables From Wide to Long
winsor | Winsorize a Numeric Vector
winsors | Winsorize Numeric Data

## -- misc --

.cronbach | Bootstrap Function for 'cronbach()' Function
.cronbachs | Bootstrap Function for 'cronbachs()' Function
.gtheory | Bootstrap Function for 'gtheory()' Function
.gtheorys | Bootstrap Function for 'gtheorys()' Function