starschemar (version 1.2.0)

select_fact: Select fact

Description

To define the fact to be consulted, its name is indicated, optionally, a vector of names of selected measures and another of aggregation functions are also indicated.

Usage

select_fact(dq, name = NULL, measures = NULL, agg_functions = NULL)
# S3 method for dimensional_query
select_fact(dq, name = NULL, measures = NULL, agg_functions = NULL)

Arguments

dq

A dimensional_query object.

name

A string, name of the fact.

measures

A vector of measure names.

agg_functions

A vector of aggregation function names. If none is indicated, those defined in the fact table are considered.

Value

A dimensional_query object.

Details

If the name of any measure is not indicated, only the one corresponding to the number of aggregated rows is included, which is always included.

If no aggregation function is included, those defined for the measures are considered.

See Also

Other query functions: dimensional_query(), filter_dimension(), run_query(), select_dimension()

Examples

# NOT RUN {
library(tidyr)

dq <- dimensional_query(ms_mrs) %>%
  select_fact(
    name = "mrs_age",
    measures = c("n_deaths"),
    agg_functions = c("MAX")
  )

dq <- dimensional_query(ms_mrs) %>%
  select_fact(name = "mrs_age",
             measures = c("n_deaths"))

dq <- dimensional_query(ms_mrs) %>%
  select_fact(name = "mrs_age")

# }

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