DataFileReader

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util
Class DataFileReader

java.lang.Object
  util.CommandLineParser
      util.PropertyParser
          util.DataFileReader

Direct Known Subclasses:: DataFileAnalyser, DataFileModel, DataFileReader.Ascii, GeneralLinearRegression.Corot, JPhasePlot.Plot

public abstract class DataFileReader
extends PropertyParser
extends PropertyParser

Convenience class for parsing command lines to read in from a data file.

Nested Class Summary
`static class`	`DataFileReader.Ascii` Does spline/filtering etc.

Nested classes/interfaces inherited from class util.CommandLineParser
`CommandLineParser.Test`

Field Summary
`static double`	`DEFSPLITSIGMA` Default split sigma.
`protected static String`	`FOOT` A footer message.
`private static String`	`FOURSWITCHES` The switches for adding properties.
`protected static Map<String,String>`	`MAP`
`protected NumberFormat[]`	`nf` The number formatters.
`private static String`	`ONESWITCHES` The switches for adding properties.
`protected PrintWriter`	`out` The print-stream.
`private Map<String,String>`	`props` The properties parsed.
`private VectorG[]`	`set` The data.
`private static String`	`THREESWITCHES` The switches for adding properties.
`private static String`	`TWOSWITCHES` The switches for adding properties.
`protected static Map<String,String>`	`USE` Detailed use of switches.
`private static String`	`ZEROSWITCHES` The switches for adding properties.

Constructor Summary
`protected`	`DataFileReader(Map<String,String> shortcuts)` Constructs the parser to the sensor tester.

Method Summary
`protected VectorG[]`	`getData()` Returns the input data.
`protected VectorG[]`	`getLinearFit(VectorG[] data, int column, int mesh)` Replaces a single data column with a spline fit of specified mesh-length.
`protected VectorG[]`	`getLinearFit(VectorG[] data, List<Integer> cols, int len)` Returns a new data array, where the specified columns are replaced with a linear fit of the original data.
`protected Map<String,String>`	`getParsedProperties()` Returns parsed properties, if there are any.
`protected VectorG[]`	`getPiecewisePolynomialFit(VectorG[] data, int column, int poly, double tl, double tr, int deriv)`
`protected VectorG[]`	`getPiecewisePolynomialFit(VectorG[] data, List<Integer> columns, int poly, double tl, double tr, int deriv)`
`protected VectorG[]`	`getSplineFit(VectorG[] data, int column, int mesh)` Replaces a single data column with a spline fit of specified mesh-length.
`protected VectorG[]`	`getSplineFit(VectorG[] data, List<Integer> cols, int len)` Returns a new data array, where the specified columns are replaced with a natural cubic spline fit of the original data.
`protected VectorG[]`	`getWhiteNoise(VectorG[] data, int cc)` Replaces a single data column with white noise.
`protected VectorG[]`	`getWhiteNoise(VectorG[] data, List<Integer> columns)` Returns a new data array, where the specified columns are replaced with white noise of the same average and sigma as the original data.
`protected void`	`print(VectorG[] v, String head, int[] complex)` Prints a data set using the parsed settings.
`private static void`	`printModel(VectorG x, VectorG y, VectorG fit)`
`static void`	`printOut(NumberFormat[] nf, PrintWriter out, VectorG[] v, String head, int[] comp)` Prints an array of a multidimensional vector to the given print stream.
`static void`	`printOut(PrintWriter out, VectorG[] v, String head, int[] comp)` Prints an array of a multidimensional vector to the given print stream.
`boolean`	`process(String[] arg)` Process the switches.
`protected boolean`	`processData(VectorG[] data)` Processes a single junk of data, provided as an array of `VectorG` If parsed with `process(java.lang.String[])`, 2dim and 3-dim data are arrays of `Vector2D` and `Vector3D`, respectively.
`protected abstract boolean`	`processSingleData(VectorG[] workon)` After filtering/splining/splitting or smoothing of the data, this is the method that processes the single data.
`protected boolean`	`processSingleData(VectorG[] workon, VectorG[] data)` After the base class supported so many filtering options, this method was additionally introduced as a escape-pod for data processors that need the original data along with the pre-processed, i.e.
`private VectorG[]`	`rejectData(VectorG[] org, VectorG[] workon, double losig, double hisig, double loabs, double hiabs, int yc)` If workon and org are of same size, we reject from the original set the data that is too far off
`private boolean`	`splitDataSet(int ilo, int ihi, int splitnr, VectorG[] data)` Splite a data set and processes the splitted set.

Methods inherited from class util.PropertyParser
`parseMap, parseMap, parseProperties, parseProperties, parseProperties`

Methods inherited from class util.CommandLineParser
`getArguments, getCommandLine, getCommands, getRegisteredSwitches, hasAnySwitch, hasSwitch, hasSwitch, haveAllSwitches, parse, printCommandLine, registerLine, registerSwitches, setCommands, staticUsage, usage`

Methods inherited from class java.lang.Object
`clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait`

Field Detail

DEFSPLITSIGMA

public static final double DEFSPLITSIGMA

Default split sigma.

See Also:: Constant Field Values