Package: admiral 1.5.0.9001

Edoardo Mancini

admiral: ADaM in R Asset Library

A toolbox for programming Clinical Data Interchange Standards Consortium (CDISC) compliant Analysis Data Model (ADaM) datasets in R. ADaM datasets are a mandatory part of any New Drug or Biologics License Application submitted to the United States Food and Drug Administration (FDA). Analysis derivations are implemented in accordance with the "Analysis Data Model Implementation Guide" (CDISC Analysis Data Model Team, 2021, <https://www.cdisc.org/standards/foundational/adam>).

Authors:Edoardo Mancini [aut, cre], Stefan Bundfuss [aut], Arianna Cascone [aut], Kristin Dahnert [aut], Jeffrey Dickinson [aut], Ross Farrugia [aut], Fanny Gautier [aut], Liam Hobby [aut], Gordon Miller [aut], Lina Patil [aut], Ben Straub [aut], F. Hoffmann-La Roche AG [cph, fnd], GlaxoSmithKline LLC [cph, fnd]

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manual.pdf |manual.html
DESCRIPTION |NEWS
card.svg |card.png
admiral/json (API)

# Install 'admiral' in R:
install.packages('admiral', repos = c('https://pharmaverse.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/pharmaverse/admiral/issues

Pkgdown/docs site:https://pharmaverse.github.io

Datasets:

On CRAN:

Conda:

adamcdiscclinical-trialsopen-sourcepharmaverse

14.65 score 305 stars 4 packages 996 scripts 3.3k downloads 149 exports 42 dependencies

Last updated from:0a2d369a9d. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK305
source / vignettesOK309
linux-release-x86_64OK250
macos-release-arm64OK185
macos-oldrel-arm64OK197
windows-develOK284
windows-releaseOK322
windows-oldrelOK302
wasm-releaseOK127

Exports:%>%admiral_labels_attrs_sectionae_eventae_gr1_eventae_gr2_eventae_gr3_eventae_gr35_eventae_gr4_eventae_gr5_eventae_ser_eventae_sev_eventae_wd_eventbasket_selectcall_derivationcall_user_funcensor_sourcechr2varscompute_age_yearscompute_bmicompute_bsacompute_dtfcompute_durationcompute_egfrcompute_framinghamcompute_mapcompute_qtccompute_qual_imputationcompute_qual_imputation_deccompute_rrcompute_scalecompute_tmfconsolidate_metadataconvert_blanks_to_naconvert_date_to_dtmconvert_dtc_to_dtconvert_dtc_to_dtmconvert_na_to_blanksconvert_xxtpt_to_hourscount_valscreate_period_datasetcreate_query_datacreate_single_dose_datasetdate_sourcedeath_eventdefault_qtc_paramcdderivation_slicederive_basetype_recordsderive_expected_recordsderive_extreme_eventderive_extreme_recordsderive_locf_recordsderive_param_bmiderive_param_bsaderive_param_computedderive_param_doseintderive_param_exist_flagderive_param_exposurederive_param_extreme_recordderive_param_framinghamderive_param_mapderive_param_qtcderive_param_rrderive_param_ttederive_param_wbc_absderive_summary_recordsderive_var_age_yearsderive_var_analysis_ratioderive_var_anrindderive_var_atoxgrderive_var_atoxgr_dirderive_var_basederive_var_chgderive_var_dthcausderive_var_extreme_dtderive_var_extreme_dtmderive_var_extreme_flagderive_var_joined_exist_flagderive_var_merged_ef_msrcderive_var_merged_exist_flagderive_var_merged_summaryderive_var_nfrltderive_var_obs_numberderive_var_ontrtflderive_var_pchgderive_var_relative_flagderive_var_shiftderive_var_trtdurdderive_var_trtemflderive_vars_aagederive_vars_atcderive_vars_catderive_vars_computedderive_vars_crit_flagderive_vars_dtderive_vars_dtmderive_vars_dtm_to_dtderive_vars_dtm_to_tmderive_vars_durationderive_vars_dyderive_vars_extreme_eventderive_vars_joinedderive_vars_joined_summaryderive_vars_mergedderive_vars_merged_lookupderive_vars_merged_summaryderive_vars_periodderive_vars_queryderive_vars_transposeddescdthcaus_sourceeventevent_joinedevent_sourceexprsextract_duplicate_recordsextract_unitfilter_existfilter_extremefilter_joinedfilter_not_existfilter_relativeflag_eventget_admiral_optionget_duplicates_datasetget_flagged_recordsget_many_to_one_datasetget_not_mappedget_one_to_many_datasetget_summary_recordsget_vars_queryimpute_dtc_dtimpute_dtc_dtmlastalive_censorlist_all_templateslist_tte_source_objectsmax_condmin_condnegate_varsparamsprint_named_listqueryrecords_sourcerestrict_derivationset_admiral_optionssignal_duplicate_recordsslice_derivationtransform_rangeuse_ad_templateyn_to_numeric

Dependencies:admiraldevbrewcallrclicommonmarkcpp11descdplyrevaluatefsgenericsgluehighrhmsknitrlifecyclelubridatemagrittrotelpillarpkgbuildpkgconfigpkgloadprocessxpspurrrR6rlangroxygen2rprojrootstringistringrtibbletidyrtidyselecttimechangeutf8vctrswithrxfunxml2yaml

Visit and Period Variables
Introduction | Required Packages | Visit variables (AVISIT, AVISITN, AWLO, AWHI, ...) | Period, Subperiod, and Phase Variables | A Note on Study Specific Code | The Period/Phase Reference Dataset | Example Creation of the Period/Phase Reference Dataset | Creating the Period/Phase Reference Dataset from EX | Creating the Period/Phase Reference Dataset from ADSL | Creating ADSL Period, Subperiod, or Phase Variables | Creating BDS and OCCDS Period, Subperiod, or Phase Variables | Treatment Variables (TRTxxP, TRTxxA, TRTP, TRTA, ...) | Creating ADSL Treatment Variables | Creating BDS and OCCDS Treatment Variables

Last update: 2026-06-12
Started: 2022-12-06

Date and Time Imputation
Introduction | Required Packages | Imputation Rules | Imputation on a Vector | Imputation Level | Minimum/Maximum Dates | Imputation Flags | Imputation Functions | Examples | Create an Imputed Datetime and Date Variable and Imputation Flag Variables | Create an Imputed Date Variable and Imputation Flag Variable | Impute Time without Imputing Date | Avoid Imputed Dates Before a Particular Date | Avoid Imputed Dates After a Particular Date | Imputation Without Creating a New Variable | Using More Than One Imputation Rule for a Variable

Last update: 2026-06-09
Started: 2021-09-08

Creating a BDS Exposure ADaM
Introduction | Programming Workflow | Read in Data | Derive/Impute Numeric Date/Time and Analysis Day (ADT, ADTM, ADY, ADTF, ATMF) | Compute duration for a record | Create 1:1 mapping records | Create Summary Records | Assign PARAMCD, PARAMN, etc. from Reference tables | Derive Categorization Variables (AVALCATy) | Assign ASEQ | Add the ADSL variables | Example Script

Last update: 2026-06-08
Started: 2021-09-08

Creating a BDS Finding ADaM
Introduction | Programming Workflow | Read in Data | Derive/Impute Numeric Date/Time and Analysis Day (ADT, ADTM, ADY, ADTF, ATMF) | Assign PARAMCD, PARAM, PARAMN, PARCAT1 | Derive Results (AVAL, AVALC) | Derive Additional Parameters (e.g. BSA, BMI or MAP for ADVS) | Derive Timing Variables (e.g. APHASE, AVISIT, APERIOD) | Timing Flag Variables (e.g. ONTRTFL) | Assign Reference Range Indicator (ANRIND) | Derive Baseline (BASETYPE, ABLFL, BASE, BNRIND) | Derive Change from Baseline (CHG, PCHG) | Derive Shift (e.g. SHIFT1) | Derive Analysis Ratio (R2BASE) | Derive Analysis Flags (e.g. ANL01FL) | Assign Treatment (TRTA, TRTP) | Derive Categorization Variables (AVALCATy) | Derive Criterion Variables (CRITy, CRITyFL, CRITyFN) | Derive New Rows | Example 1 (Creating a New Record): | Adding a New Record for the Last Value | Adding a New Record for the Minimum Value | Example 2 (Deriving a Summary Record) | Example 3 (Deriving a New PARAMCD) | Assign ASEQ | Add ADSL variables | Example Scripts

Last update: 2026-06-08
Started: 2021-07-05

Creating a PK NCA or Population PK ADaM
Introduction | Programming PK NCA (ADPC/ADNCA) Analysis Data | ADPC Programming Workflow | Read in Data | Expand Dosing Records | Find First Dose | Find Reference Dose Dates Corresponding to PK Records | Combine PC and EX Records and Derive Relative Time Variables | Derive Analysis Variables | Create DTYPE for Imputed records | Create Duplicated Records for Analysis | Combine ADPC data with Duplicated Records | Calculate Change from Baseline and Assign ASEQ | Add Additional Baseline Variables | Add the ADSL variables | Programming Population PK (ADPPK) Analysis Data | ADPPK Programming Workflow | Find First Dose ADPPK | Find Previous Dose | Combine PC and EX Records for ADPPK | Derive Analysis Variables and Dependent Variable DV | Add ASEQ and Remove Temporary Variables | Derive Numeric Covariates | Derive Additional Covariates from VS and LB | Combine Covariates with ADPPK Data | Example Scripts

Last update: 2026-06-08
Started: 2023-03-07

Creating ADSL
Introduction | Programming Flow | Read in Data | Derive Period, Subperiod, and Phase Variables (e.g. APxxSDT, APxxEDT, ...) | Derive Treatment Variables (TRT0xP, TRT0xA) | Derive/Impute Numeric Treatment Date/Time and Duration (TRTSDTM, TRTEDTM, TRTDURD) | Derive Disposition Variables | Disposition Dates (e.g. EOSDT) | Disposition Status (e.g. EOSSTT) | Disposition Reason(s) (e.g. DCSREAS, DCSREASP) | Randomization Date (RANDDT) | Derive Birth Date and Analysis Age (BRTHDT, AAGE, AAGEU) | Derive Death Variables | Death Date (DTHDT) | Cause of Death (DTHCAUS) | Duration Relative to Death | Derive the Last Date Known Alive (LSTALVDT) | Derive Groupings and Populations | Grouping (e.g. AGEGR1 or REGION1) | Population Flags (e.g. SAFFL) | Derive Other Variables | Example Script

Last update: 2026-06-08
Started: 2021-07-05

Creating an OCCDS ADaM
Introduction | Programming Workflow | Read in Data | Derive/Impute End and Start Analysis Date/time and Relative Day | Derive Durations | Derive ATC variables | Derive Planned and Actual Treatment | Derive Date/Date-time of Last Dose | Derive Treatment Dose and Unit | Derive Severity, Causality, and Toxicity Grade | Derive Treatment Emergent Flag | Derive Occurrence Flags | Derive Query Variables | Add the ADSL variables | Derive Analysis Sequence Number | Example Scripts

Last update: 2026-06-08
Started: 2021-07-05

Hy's Law Implementation
Introduction | Required Packages | Programming Workflow | Read in Data | Flagging Elevated Values (CRITy, CRITyFL) | Subsetting by LBTESTCD and Joining by Potential Events | How to Create New Parameters and Rows | Conclusion | Example Script

Last update: 2026-06-08
Started: 2023-03-07

Lab Grading
Introduction | Grading metadata | Structure of metadata set | Handling floating points when comparing numeric values | Creating the Lab Grade | Mapping ADLB to the TERM variable in the {admiral} metadata data set | Deriving Baseline Toxicity Grades | NCI-CTCAEV4 implementation | Terms graded | Updates made to TERM | Assumptions made when grading | NCI-CTCAEV5 implementation | Criteria dependent on the Baseline Value | NCI-CTCAEV6 implementation | DAIDS implementation | Terms with age or sex dependent grading criteria | US (Conventional) unit implementation | Conclusion

Last update: 2026-06-08
Started: 2022-09-06

Creating a BDS Time-to-Event ADaM
Introduction | Required Packages | Programming Workflow | Read in Data | Derive Parameters (CNSR, ADT, STARTDT) | Pre-Defined Time-to-Event Source Objects | Single Event | Add Additional Information for Events and Censoring (EVNTDESC, SRCVAR, ...) | Handling Subjects Without Assessment | Deriving a Series of Time-to-Event Parameters | Further Scenarios | Derive Analysis Value (AVAL) | Derive Analysis Sequence Number (ASEQ) | Add ADSL Variables

Last update: 2026-05-26
Started: 2021-11-17

Time-to-Event Analyses

Last update: 2026-05-13
Started: 2026-05-13

Creating an ADAB ADaM

Last update: 2026-04-29
Started: 2026-01-07

Estimands

Last update: 2026-04-29
Started: 2026-02-09

Creating Questionnaire ADaMs
Introduction | Required Packages | Example Data | Original Items | Transformed Items | Scales and Scores | Time to Deterioration/Improvement | Time to Confirmed/Definitive Deterioration/Improvement | Worst/Best Answer | Completion

Last update: 2026-04-14
Started: 2023-03-07

Generic Derivations
Introduction | Required Packages | Characterization of Derivations | Overview of Derivations | Source Data | Single Source Dataset | Multiple Source Datasets | Methods | Selection | Options for Selection | Sort Order | New Values | Summary | Computed

Last update: 2026-01-14
Started: 2022-12-06

Higher Order Functions
Introduction | Required Packages | Call Derivation | Restrict Derivation | Slice Derivation | Combining Higher Order Functions

Last update: 2025-04-07
Started: 2022-09-06

Programming Concepts and Conventions
Introduction | Input and Output | {admiral} Functions and Options | Handling of Missing Values | Expressions in Scripts | Quoting and Unquoting: Introducing expr(), exprs(), !! and !!! | expr() and exprs() | Bang-Bang (!!) and Bang-Bang-Bang (!!!) | Summary | Common pitfalls | 1. Mistakenly passing something that isn't an expression to an argument | 2. Forgetting that expressions must be evaluable in the dataset | See also

Last update: 2024-06-07
Started: 2024-05-16

Queries Dataset Documentation
Introduction | Structure of the Query Dataset | Variables | Required Content | Input | Output | Example | Query Dataset (ds_query) | Adverse Event Dataset (ae) | Output Dataset | Optional Content | Output Variables

Last update: 2023-12-04
Started: 2021-11-17

Readme and manuals

Help Manual

Help pageTopics
Pipe operator%>%
Lab Analysis Datasetadmiral_adlb
Subject Level Analysis Datasetadmiral_adsl
Metadata Holding Grading Criteria for NCI-CTCAEv4 using SI unit where applicableatoxgr_criteria_ctcv4
Metadata Holding Grading Criteria for NCI-CTCAEv4 using USCV unit where applicableatoxgr_criteria_ctcv4_uscv
Metadata Holding Grading Criteria for NCI-CTCAEv5 using SI unit where applicableatoxgr_criteria_ctcv5
Metadata Holding Grading Criteria for NCI-CTCAEv5 using USCV unit where applicableatoxgr_criteria_ctcv5_uscv
Metadata Holding Grading Criteria for NCI-CTCAEv6 using SI unit where applicableatoxgr_criteria_ctcv6
Metadata Holding Grading Criteria for NCI-CTCAEv6 using USCV unit where applicableatoxgr_criteria_ctcv6_uscv
Metadata Holding Grading Criteria for DAIDs using SI unit where applicableatoxgr_criteria_daids
Metadata Holding Grading Criteria for DAIDs using USCV unit where applicableatoxgr_criteria_daids_uscv
Create a 'basket_select' objectbasket_select
Call a Single Derivation Multiple Timescall_derivation
Calls a Function Provided by the Usercall_user_fun
Create a 'censor_source' Objectcensor_source
Turn a Character Vector into a List of Expressionschr2vars
Compute Age in Yearscompute_age_years
Compute Body Mass Index (BMI)compute_bmi
Compute Body Surface Area (BSA)compute_bsa
Derive the Date Imputation Flagcompute_dtf
Compute Durationcompute_duration
Compute Estimated Glomerular Filtration Rate (eGFR) for Kidney Functioncompute_egfr
Compute Framingham Heart Study Cardiovascular Disease 10-Year Risk Scorecompute_framingham
Compute Mean Arterial Pressure (MAP)compute_map
Compute Corrected QTcompute_qtc
Function to Impute Values When Qualifier Exists in Character Resultcompute_qual_imputation
Compute Factor for Value Imputations When Character Value Contains < or >compute_qual_imputation_dec
Compute RR Interval From Heart Ratecompute_rr
Compute Scale Parameterscompute_scale
Derive the Time Imputation Flagcompute_tmf
Consolidate Multiple Meta Datasets Into a Single Oneconsolidate_metadata
Convert Blank Strings Into NAsconvert_blanks_to_na convert_blanks_to_na.character convert_blanks_to_na.data.frame convert_blanks_to_na.default convert_blanks_to_na.list
Convert a Date into a Datetime Objectconvert_date_to_dtm
Convert a Date Character Vector into a Date Objectconvert_dtc_to_dt
Convert a Date Character Vector into a Datetime Objectconvert_dtc_to_dtm
Convert NAs Into Blank Stringsconvert_na_to_blanks convert_na_to_blanks.character convert_na_to_blanks.data.frame convert_na_to_blanks.default convert_na_to_blanks.list
Convert 'XXTPT' Strings to Hoursconvert_xxtpt_to_hours
Count Number of Observations Where a Variable Equals a Valuecount_vals
Country Code Lookupcountry_code_lookup
Create a Reference Dataset for Subperiods, Periods, or Phasescreate_period_dataset
Creates a queries dataset as input dataset to the 'dataset_queries' argument in 'derive_vars_query()'create_query_data
Create dataset of single dosescreate_single_dose_dataset
Create a 'date_source' objectdate_source
Pre-Defined Time-to-Event Source Objectsae_event ae_gr1_event ae_gr2_event ae_gr35_event ae_gr3_event ae_gr4_event ae_gr5_event ae_ser_event ae_sev_event ae_wd_event death_event lastalive_censor
Get Default Parameter Code for Corrected QTdefault_qtc_paramcd
Create a 'derivation_slice' Objectderivation_slice
Derive Basetype Variablederive_basetype_records
Derive Expected Recordsderive_expected_records
Add the Worst or Best Observation for Each By Group as New Recordsderive_extreme_event
Add the First or Last Observation for Each By Group as New Recordsderive_extreme_records
Derive LOCF (Last Observation Carried Forward) Recordsderive_locf_records
Adds a Parameter for BMIderive_param_bmi
Adds a Parameter for BSA (Body Surface Area) Using the Specified Methodderive_param_bsa
Adds a Parameter Computed from the Analysis Value of Other Parametersderive_param_computed
Adds a Parameter for Dose Intensityderive_param_doseint
Add an Existence Flag Parameterderive_param_exist_flag
Add an Aggregated Parameter and Derive the Associated Start and End Datesderive_param_exposure
Adds a Parameter Based on First or Last Record from Multiple Sourcesderive_param_extreme_record
Adds a Parameter for Framingham Heart Study Cardiovascular Disease 10-Year Risk Scorederive_param_framingham
Adds a Parameter for Mean Arterial Pressurederive_param_map
Adds a Parameter for Corrected QT (an ECG measurement)derive_param_qtc
Adds a Parameter for Derived RR (an ECG measurement)derive_param_rr
Derive a Time-to-Event Parameterderive_param_tte
Add a parameter for lab differentials converted to absolute valuesderive_param_wbc_abs
Add New Records Within By Groups Using Aggregation Functionsderive_summary_records
Derive Age in Yearsderive_var_age_years
Derive Ratio Variablederive_var_analysis_ratio
Derive Reference Range Indicatorderive_var_anrind
Derive Lab High toxicity Grade 0 - 4 and Low Toxicity Grades 0 - (-4)derive_var_atoxgr
Derive Lab Toxicity Grade 0 - 4derive_var_atoxgr_dir
Derive Baseline Variablesderive_var_base
Derive Change from Baselinederive_var_chg
Derive Death Causederive_var_dthcaus
Derive First or Last Date from Multiple Sourcesderive_var_extreme_dt
Derive First or Last Datetime from Multiple Sourcesderive_var_extreme_dtm
Add a Variable Flagging the First or Last Observation Within Each By Groupderive_var_extreme_flag
Derives a Flag Based on an Existing Flagderive_var_joined_exist_flag
Merge an Existence Flag From Multiple Sourcesderive_var_merged_ef_msrc
Merge an Existence Flagderive_var_merged_exist_flag
Merge Summary Variablesderive_var_merged_summary
Derive Nominal Relative Time from First Dose (NFRLT)derive_var_nfrlt
Adds a Variable Numbering the Observations Within Each By Groupderive_var_obs_number
Derive On-Treatment Flag Variablederive_var_ontrtfl
Derive Percent Change from Baselinederive_var_pchg
Flag Observations Before or After a Condition is Fulfilledderive_var_relative_flag
Derive Shiftderive_var_shift
Derive Total Treatment Duration (Days)derive_var_trtdurd
Derive Treatment-emergent Flagderive_var_trtemfl
Derive Analysis Agederive_vars_aage
Derive ATC Class Variablesderive_vars_atc
Derive Categorization Variables Like 'AVALCATy' and 'AVALCAyN'derive_vars_cat
Adds Variable(s) Computed from the Analysis Value of one or more Parametersderive_vars_computed
Derive Criterion Flag Variables 'CRITy', 'CRITyFL', and 'CRITyFN'derive_vars_crit_flag
Derive/Impute a Date from a Character Datederive_vars_dt
Derive/Impute a Datetime from a Character Datederive_vars_dtm
Derive Date Variables from Datetime Variablesderive_vars_dtm_to_dt
Derive Time Variables from Datetime Variablesderive_vars_dtm_to_tm
Derive Durationderive_vars_duration
Derive Relative Day Variablesderive_vars_dy
Add the Worst or Best Observation for Each By Group as New Variablesderive_vars_extreme_event
Add Variables from an Additional Dataset Based on Conditions from Both Datasetsderive_vars_joined
Summarize Variables from an Additional Dataset Based on Conditions from Both Datasetsderive_vars_joined_summary
Add New Variable(s) to the Input Dataset Based on Variables from Another Datasetderive_vars_merged
Merge Lookup Table with Source Datasetderive_vars_merged_lookup
Merge Summary Variablesderive_vars_merged_summary
Add Subperiod, Period, or Phase Variables to ADSLderive_vars_period
Derive Query Variablesderive_vars_query
Derive Variables by Transposing and Merging a Second Datasetderive_vars_transposed
dplyr descdesc
Pre-Defined Dose Frequenciesdose_freq_lookup
Create a 'dthcaus_source' Objectdthcaus_source
Create an 'event' Objectevent
Create a 'event_joined' Objectevent_joined
Create an 'event_source' Objectevent_source
Example 'QS' Datasetexample_qs
rlang exprsexprs
Extract Unit From Parameter Descriptionextract_unit
Returns records that fit into existing by groups in a filtered source datasetfilter_exist
Filter the First or Last Observation for Each By Groupfilter_extreme
Filter Observations Taking Other Observations into Accountfilter_joined
Returns records that don't fit into existing by groups in a filtered source datasetfilter_not_exist
Filter the Observations Before or After a Condition is Fulfilledfilter_relative
Create a 'flag_event' Objectflag_event
Get the Value of an Admiral Optionget_admiral_option
Get Duplicate Records that Led to a Prior Errorget_duplicates_dataset
Create an Existence Flagget_flagged_records
Get Many to One Values that Led to a Prior Errorget_many_to_one_dataset
Get list of records not mapped from the lookup table.get_not_mapped
Get One to Many Values that Led to a Prior Errorget_one_to_many_dataset
Create Summary Recordsget_summary_records
Get Query Variablesget_vars_query
Impute Partial Date Portion of a '--DTC' Variableimpute_dtc_dt
Impute Partial Date(-time) Portion of a '--DTC' Variableimpute_dtc_dtm
List All Available ADaM Templateslist_all_templates
List all 'tte_source' Objects Available in a Packagelist_tte_source_objects
Maximum Value on a Subsetmax_cond
Minimum Value on a Subsetmin_cond
Negate List of Variablesnegate_vars
Create a Set of Parametersparams
Queries Datasetqueries
Queries MH Datasetqueries_mh
Create an 'query' objectquery
Create a 'records_source' Objectrecords_source
Execute a Derivation on a Subset of the Input Datasetrestrict_derivation
Set the Value of admiral Optionsset_admiral_options
Execute a Derivation with Different Arguments for Subsets of the Input Datasetslice_derivation
Transform Rangetransform_range
Create a 'tte_source' Objecttte_source
Open an ADaM Template Scriptuse_ad_template
Map '"Y"' and '"N"' to Numeric Valuesyn_to_numeric