Build an optree pipeline counts rows.

Source: R/row_counts.R

This is an example of building up a desired pre-prepared pipeline fragment from relop nodes.

row_counts(source, ..., groupby = character(0), env = parent.frame())

Arguments

source

relop tree or data.frame source.
...

force later arguments to bind by name.
groupby

partitioning (window function) column names.
env

environment to look for values in.

Examples


# by hand logistic regression example
d <- mk_td("survey_table",
           c("subjectID", "surveyCategory", "assessmentTotal"))
optree <- d %.>%
  row_counts(., groupby = "subjectID")
cat(format(optree))

#> mk_td("survey_table", c(
#>   "subjectID",
#>   "surveyCategory",
#>   "assessmentTotal")) %.>%
#>  extend(.,
#>   one := 1) %.>%
#>  project(., n := sum(one),
#>   groupby = c('subjectID'))