Learn R Programming

RUnit (version 0.4.11)

tracker: Tracking the results of the inspect process.

Description

The current implementation uses the 'closure trick' to hide all details from the user and only allows to retrieve the results of the code inspection. tracker is used to create a new environment to manage and store the results of the tracking process. The inspect function requires such an environment with the name "track" (currently mandatory). The tracker records how often each and every function was called by inspect and summarizes the results of all calls. tracker$init initializes the tracker environment. tracker$getTrackInfo returns a list with the tracked results of the inspection process.

Usage

track <- tracker()
       track$init()
       track$getTrackInfo()

Arguments

concept

RUnit

Details

The return object is a list with the following elements. src{The source code of the function.} run{The number of executions for each line of code.} graph{A matrix. Each element in the matrix counts how often a code line was called from the previous code line in the execution flow.} nrRuns{Counts how often the function was called.} funcCall{The declaration of the function.}

See Also

inspect for the registration of functions & methods to be on the tracking list.

Examples

Run this code
## example functions
foo <- function(x){
   y <- 0
   for(i in 1:100)
   {
      y <- y + i
   }
   return(y)
}

bar <- function(x){
   y <- 0
   for(i in 1:100)
   {
      y <- y - i
   }
   return(y)
}



##  the object name track is 'fixed' (current implementation)
track <- tracker()

##  initialize the tracker
track$init()

##  inspect the function
##  resFoo1 will contain the result of calling foo(50)
resFoo1 <- inspect(foo(50), track=track)

resFoo2 <- inspect(foo(20), track=track)

resBar1 <- inspect(bar(30), track=track)

##  get the tracked function call info for all inspect calls
resTrack <- track$getTrackInfo()

##  create HTML sites in folder ./results for all inspect calls
printHTML.trackInfo(resTrack)

Run the code above in your browser using DataLab