tidytable: Generate a tidy table.

In rwoldford/tidy-table: Tidy Up And Rearrange Tables To Better Reveal Data Patterns

Description

Generate a tidy table.

Usage

tidytable(table, removeLocation = TRUE, locTrimFraction = 0,
  fixedOrderDims = NULL, orderSummary = "mean", orderDecreasing = TRUE,
  swapDimensions = TRUE, preserveFirst2dim = NULL, swapDecreasing = TRUE,
  chooseFun = "median", valueFun = "mad", removeCommonZeros = TRUE,
  nSig = 2, expsRange = nSig - 1)

Arguments

table	A sample of data with dimensions >=2, can be a matrix, an array or a table.
removeLocation	Logical, detect and remove the location.
locTrimFraction	The fraction to be trimmed from each end of a sample to find the location.
fixedOrderDims	A vector of dimensions within which elements cannot be reordered.
orderSummary	The summary which we use to order the dimension layers.
orderDecreasing	Logical, if the order of dimension elements is decreasing.
swapDimensions	Logical, reorder dimensions (swap).
preserveFirst2dim	Fix the first 2 dimensions of the table to be a specific two dimensions of the table.
swapDecreasing	Logical, if swap the dimensions in a way of spread decreasing.
chooseFun	The summary to represent the variability (spread) of each dimension/combination of dimensions, can be functions in R or self-defined functions.
valueFun	The summary to measure the variability (spread) of each layer of the dimension/combination of dimensions, can be functions in R or self-defined functions.
removeCommonZeros	Logical, remove common rightmost zeros from all table entries. (Find a unit.)
nSig	Number of digits showed in the table.
expsRange	The range of exponents within which we hope to show most of the values, default is nSig-1

Value

A list containing the named components: tidytable The tidy table, originalTable The original table, location The location removed from the original table, nSig Number of digits shown in the tidy table, units The units of the entries in the tidy table, newDimOrder The new dimension order after swapping the table.

Author(s)

R. Wayne Oldford and Xiaomei Yu

Examples

table1<-c(97.62,92.24,100.90,90.39,48.29,42.31,49.98,39.09,75.23,75.16,100.11,74.23,49.69,57.21,80.19,51.09)
table1 <- matrix(table1, nrow=4,byrow=TRUE,dimnames=list(c("North" ,"South","East","West"),c("Q1","Q2","Q3","Q4")))
table1
tidytable(table1)

table2 <- c(.7999, .7998, .7998, .7997,
3.7999,3.7824,3.7662,3.7223,
0.3,1.2,4.9,145.7,
20.799,20.699,20.899,145.699,
35.3, 34.5,33.6,34.7)
table2 <- matrix(table2, ncol=4,byrow=TRUE,dimnames=list(c("A" ,"B","C","D","E"),c("1","2","3","4")))
tidytable(table2)


UCBAdmissions
tidytable(UCBAdmissions)

HairEyeColor
tidytable(HairEyeColor)


Titanic
tidytable(Titanic)

rwoldford/tidy-table documentation built on May 12, 2019, 4:38 a.m.