| catdata | Dummy Categorical Dataset |
| pkdata | Dummy PK Dataset |
| pkssdata | Dummy PK Steady-state Dataset |
| q.desc_stats | Generate descriptive summaries for continuous data |
| q.locf | LOCF Imputation |
| q.n_decimals | Round numbers up or down |
| q.netconcs | Generate net analyte concentrations |
| q.newPayload | Internal function newPayload |
| q.pooled_sd | Pooled Standard Deviation |
| q.recodeNA | Recode specified entries as NA (missing) |
| q.rename_headers | Internal function: Format table headers |
| q.samp.size.long | Sample size for comparing means for longitudinal data |
| q.samp.size.p | Sample size for comparing proportions |
| q.samp.size.t | Sample size for comparing means |
| q.substring_right | Substring of a Character Vector from Right End of the String |
| qwickr.cat | Summarize for categorical data |
| qwickr.cont | Summarize continuous data and test hypotheses |
| qwickr-package | A Quick and Easy Way to Analyze and Report Phase I-IV... |
| qwickr.pkbe | Calculate Bioequivalence with 90% CI |
| qwickr.pkconcs | Generate PK concentration listings |
| qwickr.pkfe | Generate Fixed Effects Tables for PK Parameters |
| qwickr.pkparams | Generate PK parameters for each subject |
| q.write.to.word | Export data frames and text to a Word document |
| rmdata | Dummy Repeated Measures Dataset |
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