# Package datan

- Class Summary
  Class | Description
  --- | ---
  AnalysisOfVariance | A class performing an analysis of variance
  AuxDer | A class computing the derivative f'(x) of f(x) at x = X.
  AuxDri | A class computing the Matrix A of derivatives needed int classes LsqNon and LsqMar
  AuxGrad | A class computing the gradient vector of a function of n variables
  AuxHesse | A class computing the Hessian matrix of second derivatives of a function of n variables
  AuxJInputGroup | A class representing a JPanel with a border, a border title, and a tooltip text, to which other elements can be added, one below the other.
  AuxJNumberInput | A class representing a JPanel carrying a JLabel with Text (and tooltip text) and a JTextField for numerical input, the validity of which is checked.
  AuxJRButtonGroup | A class representing a JPanel carrying a vertical row of radio buttons with a border, a border title, a tooltip text; all buttons are listened to by the same ActionListener.
  AuxZero | A class with which a zero of a scalar monotonic function of a single variable is found
  DatanFrame | A class providing a JFrame with input and output possibilities for Datan examples.
  DatanMatrix | A class representing a matrix.
  DatanRandom | A class providing methods for computing random numbers
  DatanUserFunction | An abstract class which has to be extended by the user to yield a class computing a scalar function
  DatanVector | A class representing a vector.
  FunctionOnLine | A class computing the value of a function at a given point on straight line in n-dimensional space.
  Gamma | A class providing methods for computing the Gamma function and related functions
  Histogram | A class representing a histogram.
  LsqAsg | A class determining the asymmetric errors for a set of parameters determined by the least square method for the general case using class LsqGen.
  LsqAsm | A class determining the asymmetric errors for a set of parameters determined by the least square method using class LsqMar.
  LsqAsn | A class determining the asymmetric errors for a set of parameters determined by the least square method using class LsqNon.
  LsqGen | A class performing the least-squares fit of a nonlinear function to a set of data, using an iterative procedure with step-size reduction.
  LsqLin | A class porforming the least-squares fit of a linear function to a set of data.
  LsqMar | A class performing the least-squares fit of a nonlinear function to a set of data,using Marquardt's method.
  LsqNon | A class performing the least-squares fit of a nonlinear function to a set of data, using an iterative procedure with step-size reduction.
  LsqPol | A class porforming the least-squares fit of a polynomial to a set of data.
  MinAsy | A class determining the asymmetric errors for a set of parameters determined by minimization.
  MinCjg | A class determining the minimum of a function in n-dimensional space by the method of conjugate directions.
  MinCombined | A class determining the minimum of a function along a straight line in n-dimensional space according to combination the method of the golden section and of quadratic interpolation
  MinCov | A class determining the covariance matrix / confidence matrix for a set of parameters determined by minimization.
  MinDir | A class determining the minimum of a function along a straight line in n-dimensional space.
  MinEnclose | A class trying to find an interval along a straight line in n-dimensional space which contains the minimum on that line of a function in n-space.
  MinGold | A class determining the minimum of a function along a straight line in n-dimensional space according to the method of the golden section
  MinMar | A class determining the minimum of a function in n-dimensional space by Marquardt's method of.
  MinParab | A class determining the extremum of a parabola through three points (xa,ya), (xb,yb),(xb,yc).
  MinPow | A class determining the minimum of a function in n-dimensional space by Powell's method of selected directions.
  MinQdr | A class determining the minimum of a function in n-dimensional space by the method of of the quadratic form.
  MinSim | A class determining the minimum of a function in n-dimensional space by the simplex method.
  Regression | A class performing polynomial regression.
  Sample | A class representing a sample.
  SmallSample | A class providing methods to compute confidence limits for small samples
  StatFunct | A class providing methods for computing statistical functions
  TimeSeries | A class performing time series analysis