starschemar (version 1.2.0)

filter_dimension: Filter dimension

Description

Allows you to define selection conditions for dimension rows.

Usage

filter_dimension(dq, name = NULL, ...)
# S3 method for dimensional_query
filter_dimension(dq, name = NULL, ...)

Arguments

dq

A dimensional_query object.

name

A string, name of the dimension.

...

Conditions, defined in exactly the same way as in dplyr::filter.

Value

A dimensional_query object.

Details

Conditions can be defined on any attribute of the dimension (not only on attributes selected in the query for the dimension). The selection is made based on the function dplyr::filter. Conditions are defined in exactly the same way as in that function.

See Also

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

Examples

# NOT RUN {
library(tidyr)

dq <- dimensional_query(ms_mrs) %>%
  filter_dimension(name = "when", when_happened_week <= "03") %>%
  filter_dimension(name = "where", city == "Boston")

# }