Man pages for ABMI/ICARUSviewer
| agegenderpieplot | code for plotting age-gender pie plot |
| agepieplot | code for plotting age pie plot |
| AUROCcurve | get AUROC curve From PatientLevelPrediction |
| baseline_comorbidity | ready for calculate co-prevalence and RR |
| baseline_drug | ready for calculate co-prevalence and RR |
| baselineMeasure_compare | comparing measurement value between two cohorts |
| baselineMeasure_pvalue | function for calculate p-value of measurement values |
| baselineMeasure_summary | function for calculate mean or median of measurement values |
| bmitreeplot | code for plotting bmi tree plot |
| calculateRR | ready for calculate Relative Ratio and CI |
| call_dataList | code for loading data |
| call_event | clinical Event data were extracted |
| characteristic_pvalue | analysis of demographic characteristics : if the value has... |
| characteristic_summary | analysis of demographic characteristics; if the value has... |
| charactManufacture | analysis of demographic characteristics according to disease... |
| charterstic_manufacture | collect and mutate demographic characteristics |
| check.packages | check and ready packages needed |
| co_prevtable | calculate co-prevalence rate |
| demographic_cal | calculate p-value of gender(chi-square test) and and age... |
| demographic_Table | table output of bmi and gender proportion |
| drugTable | ready for calculate co-prevalence and RR |
| eventFreeSurvival | get measurement baseline measurement data |
| event_incidence | combine and calculate incidence rate of clinical event |
| genderpieplot | code for plotting gender Pie plot |
| getAllLongitudinal | extract longitudinal analysis using FeatureExtraction |
| getBaselineCovariate | get measurement baseline measurement data |
| getConditionCovariate | ready for plotting comorbidity data |
| getDrugCovariate | Analysis of baseline medication use of cohorts |
| getLongitudinal | subsetting features that have specific measurement_concept_id |
| getPlpDataList | create Plp data and population data (ready for run Plp) |
| hello | Hello, World! |
| insertCohort | code for insert cohort at result table |
| latent_class_classification | using latent class linear mixed model (LCMM), create groups... |
| latent_longitudinal_plot | trajectory plot clustered by lcmm |
| latent_longitudinal_table | trajectory table clustered by lcmm |
| lme_logitudinal | use linear mixed model regression, find regression line and... |
| longitudinal | aggregate total code for longitudinal analysis |
| plot_event_rate | plot for clinical event rate |
| plotLmm | plot trajectory line and its CI |
| plotPredictiveVariables | ranking top n predictive variables and draw plot |
| pvalueCalAmongMoreThanTwo | calculate pvalue among more than two cohorts |
| pvalueCalBetweenTwo | calculate pvalue between two cohorts : if the value has... |
| removeTempAndOutput | remove setting |
| RRplot | plot risk ratio and its CIs |
| RunPlp | Run Plp |
| setting | Setting some list or dataframe (diseaseList for comorbidity... |
| sql_reader | code for reading query and calling the data (using SqlRender) |
| switchcohort | switch input from label to cohortDefinitionId |
| switchselect_model | switch input from label to machine learning model |
| switchselect_pft | switch input from label to cohortDefinitionId |
| switchselect_plp | switch input from label to cohortDefinitionId for plp |
| tableLmm | table for representative estimated profile trajectory and its... |
| tablePredictiveVariables | ranking top n predictive variables and conceptName |
