makeFlow-package: Visualizing Sequential Classifications

In makeFlow: Visualizing Sequential Classifications

Description

A user-friendly tool for visualizing categorical or group movement.

Details

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Users should ensure all classFields (columns) are explicitly defined in the same dataset. colorCount(), FlowSummaries(), GateSummaries(), and makeFlow() can all operate with the same two basic inputs: data and classFields. Graphical parameters can be defined with additional makeFlow() arguments.

Author(s)

Alex J. Krebs

Maintainer: Alex J. Krebs <[e-mail]>

Examples

##  Data:
##  carData <- mtcars
##  carData$car <- "All Cars"
##  carData$speedclass <- ifelse(carData$qsec < 15, "Fast",
##                          ifelse(carData$qsec < 18, "Mid-Speed","Slow"))
##  carData$speedclass <- factor(x = carData$speedclass, levels = c("Slow","Mid-Speed","Fast"))
##  
##  Create Diagram:
##  makeFlow(data = carData, classFields = c("car","cyl","speedclass"),
##    gateWidth = 20, minVerticalBtwnGates = .15, distanceBtwnGates = 70,
##    fieldLabels = c("", "Cylinders","Speed"), gateBorder = "black")

##  Generate underlying tables using GateSummaries() and FlowSummaries()

makeFlow documentation built on May 1, 2019, 9:25 p.m.