The main usage of the input library is to read the printed JSON files to test whether the output format is correct.
The main usage of the input library is to read the printed JSON files to test whether the output format is correct. Nevertheless, they can still be used to read JSON files in a specific application.
Statistical functions
Statistical functions
The main functions in this package are used as follows
import scala.util.Random val computeQuantilesEvery10 = computeQuantiles(Seq(10,20,30,40,50,60,70,80,90))_ // partial evaluation (currying) val q = computeQuantilesEvery10(Seq.fill(123)(Random.nextDouble))
Provides extensions for writing common scala types to text files.
Provides extensions for writing common scala types to text files. Two formats are used: CSV and JSON. Although CSV is simpler, it can be used for writing data to be read by TIKZ (latex). JSON is more flexible and is useful when different models or analyses must share data.
The implicit functions are designed to be used like this:
val v: Vector[Double] = Vector(1,2,3,4,5) v.writetoCSV("myVectorTestCSV.csv") v.writeToJSON("travel_times", "myVectortestJSON.json") val m: Map[String,Vector[Double]] = Map("lausanne" -> Vector(1.1,2.0,3.7,4.3), "basel" -> Vector(9.0, 3.55, 3.2)) m.writeToCSV("myMapTestCSV.csv") m.writeToJSON("train_stations", "myMaptestJSON.json") val ab: scala.collection.mustable.ArrayBuffer[(Int. Double)] = scala.collectection.mutable.ArrayBuffer((1,2.156),(2,3.1415),(3,42.23)) ab.writeToCSV("myABTestCSV.csv")