logisticexample.R
In rqdatatable: 'rquery' for 'data.table'

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library("rqdatatable")

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# data example
dL <- wrapr::build_frame(
   "subjectID", "surveyCategory"     , "assessmentTotal" |
   1          , "withdrawal behavior", 5                 |
   1          , "positive re-framing", 2                 |
   2          , "withdrawal behavior", 3                 |
   2          , "positive re-framing", 4                 )

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scale <- 0.237

# example rquery pipeline
rquery_pipeline <- local_td(dL) %.>%
  extend_nse(.,
             one = 1) %.>%
  extend_nse(.,
             probability =
               exp(assessmentTotal * scale)/
               sum(exp(assessmentTotal * scale)),
             count = sum(one),
             partitionby = 'subjectID') %.>%
  extend_nse(.,
             rank = cumsum(one),
             partitionby = 'subjectID',
             orderby = c('probability', 'surveyCategory')) %.>%
  extend_nse(.,
             isdiagnosis = rank == count,
             diagnosis = surveyCategory) %.>%
  select_rows_nse(., 
                  isdiagnosis == TRUE) %.>%
  select_columns(., 
                 c('subjectID', 'diagnosis', 'probability')) %.>%
  orderby(., 'subjectID')

## ---- comment=""--------------------------------------------------------------
cat(format(rquery_pipeline))

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ex_data_table(rquery_pipeline)