NAG Library Routine Document

g07daf (robust_1var_median)

1
Purpose

g07daf finds the median, median absolute deviation, and a robust estimate of the standard deviation for a set of ungrouped data.

2
Specification

Fortran Interface
Subroutine g07daf ( n, x, y, xme, xmd, xsd, ifail)
Integer, Intent (In):: n
Integer, Intent (Inout):: ifail
Real (Kind=nag_wp), Intent (In):: x(n)
Real (Kind=nag_wp), Intent (Out):: y(n), xme, xmd, xsd
C Header Interface
#include <nagmk26.h>
void  g07daf_ (const Integer *n, const double x[], double y[], double *xme, double *xmd, double *xsd, Integer *ifail)

3
Description

The data consists of a sample of size n, denoted by x1,x2,,xn, drawn from a random variable X.
g07daf first computes the median,
θmed=medixi,  
and from this the median absolute deviation can be computed,
σmed=medixi-θmed.  
Finally, a robust estimate of the standard deviation is computed,
σmed=σmed/Φ-10.75  
where Φ-10.75 is the value of the inverse standard Normal function at the point 0.75.
g07daf is based upon subroutine LTMDDV within the ROBETH library, see Marazzi (1987).

4
References

Huber P J (1981) Robust Statistics Wiley
Marazzi A (1987) Subroutines for robust estimation of location and scale in ROBETH Cah. Rech. Doc. IUMSP, No. 3 ROB 1 Institut Universitaire de Médecine Sociale et Préventive, Lausanne

5
Arguments

1:     n – IntegerInput
On entry: n, the number of observations.
Constraint: n>1.
2:     xn – Real (Kind=nag_wp) arrayInput
On entry: the vector of observations, x1,x2,,xn.
3:     yn – Real (Kind=nag_wp) arrayOutput
On exit: the observations sorted into ascending order.
4:     xme – Real (Kind=nag_wp)Output
On exit: the median, θmed.
5:     xmd – Real (Kind=nag_wp)Output
On exit: the median absolute deviation, σmed.
6:     xsd – Real (Kind=nag_wp)Output
On exit: the robust estimate of the standard deviation, σmed.
7:     ifail – IntegerInput/Output
On entry: ifail must be set to 0, -1 or 1. If you are unfamiliar with this argument you should refer to Section 3.4 in How to Use the NAG Library and its Documentation for details.
For environments where it might be inappropriate to halt program execution when an error is detected, the value -1 or 1 is recommended. If the output of error messages is undesirable, then the value 1 is recommended. Otherwise, if you are not familiar with this argument, the recommended value is 0. When the value -1 or 1 is used it is essential to test the value of ifail on exit.
On exit: ifail=0 unless the routine detects an error or a warning has been flagged (see Section 6).

6
Error Indicators and Warnings

If on entry ifail=0 or -1, explanatory error messages are output on the current error message unit (as defined by x04aaf).
Errors or warnings detected by the routine:
ifail=1
On entry, n=value.
Constraint: n>1.
ifail=-99
An unexpected error has been triggered by this routine. Please contact NAG.
See Section 3.9 in How to Use the NAG Library and its Documentation for further information.
ifail=-399
Your licence key may have expired or may not have been installed correctly.
See Section 3.8 in How to Use the NAG Library and its Documentation for further information.
ifail=-999
Dynamic memory allocation failed.
See Section 3.7 in How to Use the NAG Library and its Documentation for further information.

7
Accuracy

The computations are believed to be stable.

8
Parallelism and Performance

g07daf is threaded by NAG for parallel execution in multithreaded implementations of the NAG Library.
g07daf makes calls to BLAS and/or LAPACK routines, which may be threaded within the vendor library used by this implementation. Consult the documentation for the vendor library for further information.
Please consult the X06 Chapter Introduction for information on how to control and interrogate the OpenMP environment used within this routine. Please also consult the Users' Note for your implementation for any additional implementation-specific information.

9
Further Comments

Unless otherwise stated in the Users' Note, the routine may be called with the same actual array supplied for arguments x and y, in which case the sorted data values will overwrite the original contents of x. However this is not standard Fortran, and may not work on all systems.

10
Example

The following program reads in a set of data consisting of eleven observations of a variable X. The median, median absolute deviation and a robust estimate of the standard deviation are calculated and printed along with the sorted data in output array y.

10.1
Program Text

Program Text (g07dafe.f90)

10.2
Program Data

Program Data (g07dafe.d)

10.3
Program Results

Program Results (g07dafe.r)