makeFlow (version 1.0.2)

makeFlow-package: \Sexpr[results=rd,stage=build]{tools:::Rd_package_title("#1")}makeFlowVisualizing Sequential Classifications

Description

\Sexpr[results=rd,stage=build]{tools:::Rd_package_description("#1")}makeFlowA user-friendly tool for visualizing categorical or group movement.

Details

The DESCRIPTION file: \Sexpr[results=rd,stage=build]{tools:::Rd_package_DESCRIPTION("#1")}makeFlowThis package was not yet installed at build time.

\Sexpr[results=rd,stage=build]{tools:::Rd_package_indices("#1")}makeFlow Index: This package was not yet installed at build time.

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.

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()