ex_data_table_step.relop_extend | R Documentation |
data.table
based implementation.
## S3 method for class 'relop_extend'
ex_data_table_step(
optree,
...,
tables = list(),
source_usage = NULL,
source_limit = NULL,
env = parent.frame()
)
optree |
relop operations tree. |
... |
not used, force later arguments to bind by name. |
tables |
named list map from table names used in nodes to data.tables and data.frames. |
source_usage |
list mapping source table names to vectors of columns used. |
source_limit |
if not null limit all table sources to no more than this many rows (used for debugging). |
env |
environment to work in. |
Will re-order columns if there are ordering terms.
dL <- build_frame(
"subjectID", "surveyCategory" , "assessmentTotal", "one" |
1 , "withdrawal behavior", 5 , 1 |
1 , "positive re-framing", 2 , 1 |
2 , "withdrawal behavior", 3 , 1 |
2 , "positive re-framing", 4 , 1 )
rquery_pipeline <- local_td(dL) %.>%
extend_nse(.,
probability %:=%
exp(assessmentTotal * 0.237)/
sum(exp(assessmentTotal * 0.237)),
count %:=% sum(one),
rank %:=% rank(),
orderby = c("assessmentTotal", "surveyCategory"),
reverse = c("assessmentTotal"),
partitionby = 'subjectID') %.>%
orderby(., c("subjectID", "probability"))
dL %.>% rquery_pipeline
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