knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.path = "man/figures/README-", out.width = "100%" ) Sys.setenv(LANGUAGE = "en")
A 'dibble' (derived from 'dimensional tibble') is a data frame consisting of arrays with dimension names, known as data cubes. The columns of the dibbles are classified into dimensions or measures, and the operations on the measures are broadcasted by dimension names.
# the released version from CRAN: install.packages("dibble") # the development version from GitHub: # install.packages("devtools") devtools::install_github("UchidaMizuki/dibble")
library(dibble) library(dplyr) library(tidyr)
arr1 <- array(1:6, c(2, 3), list(axis1 = letters[1:2], axis2 = letters[1:3])) arr2 <- array(1:2, 2, list(axis2 = letters[1:2])) try(arr1 * arr2) ddf1 <- as_dibble(arr1) ddf2 <- as_dibble(arr2) ddf1 * ddf2 # You can use broadcast() to suppress the warnings. broadcast(ddf1 * ddf2, dim_names = c("axis1", "axis2"))
dibble provides some dplyr methods as follows,
as_tibble()
: From tibble packagefilter()
mutate()
: Experimentalrename()
select()
and relocate()
slice()
: Specify locations (a integer vector) for each dimensiondf <- expand_grid(axis1 = letters[1:2], axis2 = letters[1:2]) |> mutate(value1 = row_number(), value2 = value1 * 2) ddf <- df |> dibble_by(axis1, axis2) ddf # You can access the measures from the dibble with `$`. ddf$value1 df <- expand_grid( tibble(axis1_key = letters[1:2], axis1_value = 1:2), tibble(axis2_key = letters[1:2], axis2_value = 1:2) ) |> mutate(value1 = row_number(), value2 = value1 * 2) # You can `pack` several columns into one dimension (See `tidyr::pack()`). df |> dibble_by( axis1 = c(axis1_key, axis1_value), axis2 = c(axis2_key, axis2_value), .names_sep = "_" )
dibble provides some dplyr methods as follows,
# from an array with dimension names arr <- array(1:4, c(2, 2), list(axis1 = letters[1:2], axis2 = letters[1:2])) ddf1 <- as_dibble(arr) # from a vector ddf2 <- broadcast(1:4, list(axis1 = letters[1:2], axis2 = letters[1:2])) arr ddf1 ddf2
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