In-memory OLAP cubes R data type. Uses high performance C-implemented data.table R package.

• scalable multidimensional hierarchical array alternative
• uses data.table under the hood
• use base R array query API
  • [.data.cube uses base R [.array method API for slice and dice of dimension keys
• extends base R array query API
  • slice and dice on dimension attributes of various levels in hierarchy with .(time_year = 2011:2013)
  • aggregate by collapse dimensions with `-`(), also with pre-filtering
  • rollup and cube over provided groupings with ` `() for rollup and `^`() for cube
• apply.data.cube uses base R apply like API
• rollup for data.cube
  • bind grouping dimension to retain cube normalization and avoid double counting
• for pivot use format/as.data.table with dcast.data.table API
• direct access to data.cube child classes and attributes
• query optimization
  • use blazingly fast data.table indices
  • use data.table#1377 grouping sets
• works on sharded distributed engine using big.data.table

install.packages("data.cube", repos = paste0("https://", c(
    "jangorecki.gitlab.io/data.cube",
    "cloud.r-project.org"
)))

Read manual and check Subset and aggregate multidimensional data with data.cube vignette.

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