Prepare Questionnaire Data for Analysis

agg | Aggregate an Atomic Vector by Group |

agg_dfm | Data Information by Group |

aggs | Aggregate Data 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 |

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 |

decompose | Decompose a Numeric Vector by Group |

decomposes | Decompose Numeric Data by Group |

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 |

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... |

pomps | Recode Numeric Data to Percentage of Maximum Possible (POMP)... |

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... |

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 |

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 |

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