Prepare Questionnaire Data for Analysis

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Documentation for package ‘quest’ version 0.1.0

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agg Aggregate an Atomic Vector by Group
aggs Aggregate Data by Group
agg_dfm Data Information by Group
ave_dfm Repeated Group Statistics for a Data-Frame
by2 Apply a Function to Data by Group
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
decompose Decompose a Numeric Vector by Group
decomposes Decompose Numeric Data by Group
dum2nom Dummy Variables to a Nominal Variable
freq Univariate Frequency Table
freqs Multiple Univariate Frequency Tables
freqs_by Multiple Univariate Frequency Tables
freq_by Univariate Frequency Table 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.product Make Product Terms (e.g., interactions)
mean_if Mean Conditional on Minimum Frequency of Observed Values
mode2 Statistical Mode of a Numeric Vector
ncases Number of Cases in Data
nom2dum Nominal Variable to Dummy Variables
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
quest 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 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
sum_if Sum Conditional on Minimum Frequency of Observed Values
tapply2 Apply a Function to a (Atomic) Vector by Group
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