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rqdatatable
re-maps a number of symbols for
data.table
translation (for
rquery
/SQL
re-mappings, please see here).
For instance, please take note of the n()
and
rank()
functions in the following code example.
library("rqdatatable")
library("wrapr")
dL <- build_frame(
"subjectID", "surveyCategory" , "assessmentTotal"|
1 , "withdrawal behavior", 5 |
1 , "positive re-framing", 2 |
2 , "withdrawal behavior", 3 |
2 , "positive re-framing", 4 |
2 , "other" , 0 )
scale <- 0.237
rquery_pipeline <- local_td(dL) %.>%
extend_nse(.,
probability :=
exp(assessmentTotal * scale)/
sum(exp(assessmentTotal * scale)),
count := n(),
rank := rank(),
orderby = c("assessmentTotal", "surveyCategory"),
reverse = c("assessmentTotal"),
partitionby = 'subjectID') %.>%
orderby(., c("subjectID", "probability"))
res <- ex_data_table(rquery_pipeline, tables = list(dL = dL))
knitr::kable(res)
subjectID | surveyCategory | assessmentTotal | probability | count | rank |
---|---|---|---|---|---|
1 | positive re-framing | 2 | 0.3293779 | 2 | 2 |
1 | withdrawal behavior | 5 | 0.6706221 | 2 | 1 |
2 | other | 0 | 0.1780446 | 3 | 3 |
2 | withdrawal behavior | 3 | 0.3625035 | 3 | 2 |
2 | positive re-framing | 4 | 0.4594519 | 3 | 1 |
The common re-mappings are can be found in the package-private
variable rqdatatable:::data_table_extend_fns
.
## List of 6
## $ ngroup :List of 2
## ..$ data.table_version: chr ".GRP"
## ..$ need_one_col : logi TRUE
## $ rank :List of 2
## ..$ data.table_version: chr "cumsum(rqdatatable_temp_one_col)"
## ..$ need_one_col : logi TRUE
## $ row_number:List of 2
## ..$ data.table_version: chr "cumsum(rqdatatable_temp_one_col)"
## ..$ need_one_col : logi TRUE
## $ n :List of 2
## ..$ data.table_version: chr "sum(rqdatatable_temp_one_col)"
## ..$ need_one_col : logi TRUE
## $ random :List of 2
## ..$ data.table_version: chr "runif(.N)"
## ..$ need_one_col : logi FALSE
## $ rand :List of 2
## ..$ data.table_version: chr "runif(.N)"
## ..$ need_one_col : logi FALSE
The column rqdatatable_temp_one_col
is introduced (and
removed) from intermediate data frames as needed.
These mappings help allow the same operator pipeline to be used in
R
and in a database. For the database mappings please see
here.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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