Package hypercube. December 15, 2017
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1 Type Package Title Organizing Data in a Hyper Version Author Michael Scholz Package hyper December 15, 2017 Maintainer Provides methods for organizing data in a hyper (i.e. a multi-dimensional ). Cubes are generated from molten data frames. Each can be manipulated with five operations: rotation (changedimensionorder()), dicing and slicing (add.selection(), remove.selection()), drilling down (add.aggregation()), and rolling up (remove.aggregation()). License GPL-3 Encoding UTF-8 Depends R (>= 3.3.0), stats Imports methods, stringr LazyData TRUE RoxygenNote NeedsCompilation no Repository CRAN Date/Publication :58:18 UTC R topics documented: hyper-package add.aggregation add.selection as.data.frame.cube changedimensionorder Cube-class Dimension-class generatecube remove.aggregation
2 2 hyper-package remove.selection sales show,cube-method show,dimension-method Index 13 hyper-package Provides methods for organizing data in a hyper Details This package provides methods for organizing data in a hyper Each can be manipulated with five operations rotation (changedimensionorder), dicing and slicing (add.selection, remove.selection), drilling down (add.aggregation), and rolling up (remove.aggregation). Package: hyper Type: Package Version: Date: License: GPL-3 Depends: R (>= 3.0), methods # Simple example # More sophisticated example = add.selection(, criteria = list(state = c("al", "TX"))) = add.aggregation(, dimensions = c("month", "year"), fun = "sum")
3 add.aggregation 3 df = as.data.frame() df add.aggregation Adds an aggregation to a hyper This function adds a further aggregation to a hyper. The itself will not be changed. The aggregation only affect the data that will be shown when printing the. Note that selection criteria will be applied before the aggregating the data. add.aggregation(, dimensions, fun = c("sum", "min", "max", "prod", "mean", "median", "sd", "count")) dimensions fun Hyper for which the selection criteria will be defined. A vector of dimensions that are used in the aggregation. The function that is used for aggregation. Possible functions are sum, prod, min, max, mean, median, sd, and count. Returns a Cube object with the added aggregation. Cube remove.aggregation add.selection = add.aggregation(, dimensions = c("month", "year"), fun = "sum")
4 4 add.selection add.selection Adds selection criteria to a hyper This function adds further selection criteria to a hyper. The itself will not be changed. The selection criteria only affect the data that will be shown when printing the. Note that selection criteria will be applied before the aggregating the data. add.selection(, criteria) criteria Hyper for which the selection criteria will be defined. A list of selection criteria. Returns a Cube object with the added selection criteria. Cube remove.selection add.aggregation print(str(sales)) = add.selection(, criteria = list(state = c("ca", "FL"))) = add.selection(, criteria = list(state = c("tx")))
5 as.data.frame.cube 5 as.data.frame.cube Converts the actual view of a to a data frame Converts the actual view of a Cube object to a data frame. All added selections and aggregations will be regarded. Note that selection criteria will be applied before the aggregating the data. ## S3 method for class 'Cube' as.data.frame(x, row.names = NULL, optional = FALSE,...) x The Cube object that will be converted to a data frame. row.names A character vector giving the row names for the data frame. optional Should setting row names and converting column names be optional?... Further parameters that are passed to as.data.frame.table. A molten data frame add.aggregation add.selection = changedimensionorder(, dimensions = c("product", "month", "year", "state")) df = as.data.frame() df
6 6 changedimensionorder changedimensionorder Changes the order of the dimensions in a given Changes the order of the dimensions in a given changedimensionorder(, dimensions) dimensions Hyper for which the dimension should be re-ordered. Vector of dimensions. The order of the dimensions in this vector defines the order of the dimensions in the. Returns a Cube object. Cube = changedimensionorder(, dimensions = c("product", "month", "year", "state"))
7 Cube-class 7 Cube-class Class "Cube" Slots Class "Cube" data (array) The data that are represented as hyper. structure (list) The structure of the dimensions of the hyper. view (list) Information about how to build a view for the hyper. This information is stored in a list of Dimension-class objects. Objects from the Class Objects can be created by calls of the form new("cube",...). This S4 class describes Cube objects. generatecube # show Cube definition showclass("cube") Dimension-class Class "Cube" Class "Cube" Slots name (character) The name of the dimension. values (vector) A vector of selected values for this dimension. aggregation (vector) A vector of aggregation functions that will be applied to this dimension.
8 8 generatecube Objects from the Class Objects can be created by calls of the form new("dimension",...). This S4 class describes Dimension objects. # show Dimension definition showclass("dimension") generatecube Generates a hyper from a given dataframe This function generates a hyper from a given dataframe. The dimensions of the hyper correspond to a set of selected columns from the dataframe. generatecube(data, columns, valuecolumn) data columns valuecolumn A dataframe that is used as source for the hyper. A vector of column names that will form the dimensions of the hyper. The name of the column that provides the values for the cells of the hyper. Returns a Cube object. Cube
9 remove.aggregation 9 remove.aggregation Removes aggregations from a hyper This function removes aggregations from a hyper. The itself will not be changed. The aggregation only affect the data that will be shown when printing the. remove.aggregation(, dimensions = NA, last = FALSE) dimensions last Hyper from which the aggregation will be removed. A vector of dimensions for which the aggregations will be removed. Should the last aggregation be removed? If this parameter is set TRUE, the dimension vector will be ignored. Returns a Cube object with the added aggregation. Cube add.aggregation remove.selection = add.aggregation(, dimensions = c("month", "year"), fun = "sum") = add.aggregation(, dimensions = "year", fun = "sum")
10 10 remove.selection = remove.aggregation(, dimensions = "year") remove.selection Removes selection criteria from a hyper This function removes all selection criteria for the given dimensions. The itself will not be changed. The selection criteria only affect the data that will be shown when printing the. remove.selection(, dimensions) dimensions Hyper for which the selection criteria will be defined. A vector of dimension names for which all selection criteria will be removed. Returns a Cube object with removed selection criteria. Cube add.selection remove.aggregation print(str(sales)) = add.selection(, criteria = list(state = c("ca", "FL"))) = remove.selection(, dimensions = c("state"))
11 sales 11 sales Sales of books A dataset containing 2,500 sales of 4 books in different states and countries. sales Format A data fram with 2500 rows and 7 variables: month month as number year year as number state abbreviation of the state as character country country as character product name of the product as character unit number of sold products amount amount of sales Source Synthetic dataset show,cube-method Shows a Cube object Shows the actual view of a Cube object. All added selections and aggregations will be regarded. Note that selection criteria will be applied before the aggregating the data. ## S4 method for signature 'Cube' show(object) object The Cube object
12 12 show,dimension-method Cube show,dimension-method Shows a Dimension object Shows a Dimension object ## S4 method for signature 'Dimension' show(object) object The Dimension object
13 Index Topic classes Cube-class, 7 Dimension-class, 7 Topic datasets sales, 11 Topic data hyper-package, 2 Topic hyper, hyper-package, 2 Topic hyperdimensional hyper-package, 2 add.aggregation, 3, 4, 5, 9 add.selection, 3, 4, 5, 10 as.data.frame.cube, 5 as.data.frame.table, 5 changedimensionorder, 6 Cube, 3, 4, 6, 8 10, 12 Cube-class, 7 Dimension-class, 7 generatecube, 7, 8 hyper (hyper-package), 2 hyper-package, 2 remove.aggregation, 3, 9, 10 remove.selection, 4, 9, 10 sales, 11 show,cube-method, 11 show,dimension-method, 12 13
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