07-Jan-2022 23:25:28

outliers_test():
  MATLAB/Octave version 9.8.0.1380330 (R2020a) Update 2
  Test outliers().

APTITUDE_TEST:
  MATLAB version
  Read and plot data for 20 employees, recording their
  scores on a business aptitude test, versus their
  average monthly sales results.

  In most cases, the quantities seem correlated, but
  there seem to be several outliers.

  ID Score   Sales

   1    73   62243
   2    34   67445
   3    84   55767
   4    71   50240
   5    61   46772
   6    65   41389
   7    92   40102
   8    65   37655
   9    45   34241
  10    74   31498
  11    53   31400
  12    65   30084
  13    45   29751
  14    50   27782
  15    41   26997
  16    45   24408
  17    29   21126
  18    38   18665
  19    78   12505
  20    34    9449
  Graphics saved as "aptitude_test.png"

APTITUDE_TEST:
  Normal end of execution.

FIFTEEN_BAR:
  MATLAB version
  Read a text file of 15 values, and create a bar plot
  that will expose outliers as short or tall bars.

  Index  Value  Outlier?

   1    57  0
   2    59  0
   3    60  0
   4   100  1
   5    59  0
   6    58  0
   7    57  0
   8    58  0
   9   300  1
  10    61  0
  11    62  0
  12    60  0
  13     6  1
  14    58  0
  15    57  0
  Graphics saved as "fifteen_bar.png"

FIFTEEN_BAR:
  Normal end of execution.

GLASSWARE_3X3:
  MATLAB version
  Read a noisy black-and-white image.
  Clean it up by replacing each pixel by the median
  of its 3x3 neighborhood.
  Graphics saved as "glassware_3x3.png"

GLASSWARE_3X3:
  Normal end of execution.

LOGISTIC:
  MATLAB version
  Set up data by sampling a logistic function, but
  adding random noise.  Perturb several values.

  Because these perturbations are not extreme,
  a simple outlier test will not work.

  However, MATLAB offers a moving average, which compares
  each Y data value to a local average.
  Graphics saved as "logistic.png"

LOGISTIC:
  Normal end of execution.

MATRIX_BAR3:
  MATLAB version
  Read a text file of a 5x6 array of data values.
  Create a 3D bar plot to show outliers.
  Call outliers() to find row and column outliers.

  Data matrix:

  24   1   8  15  12 287
 326 293 280 222 150 254
  25   7  14  16  18 293
  12  19   1   3   9 280
  18  25 102   7  27  40

  Column outliers marked by "1"

   0   0   0   0   0   0
   1   1   1   1   1   0
   0   0   0   0   0   0
   0   0   0   0   0   0
   0   0   1   0   0   1

  Row outliers marked by "1"

   0   0   0   0   0   1
   0   0   0   0   0   0
   0   0   0   0   0   1
   0   0   0   0   0   1
   0   0   1   0   0   0
  Graphics saved as "matrix_bar3.png"

MATRIX_BAR3:
  Normal end of execution.

NINETY_HISTOGRAM:
  MATLAB version
  Read a text file of 90 values, and create a histogram
  that will expose outliers as isolated values.

  Number of outliers detected = 1

  #  Index  Value

   1    90  1441
  Graphics saved as "ninety_histogram.png"

NINETY_HISTOGRAM:
  Normal end of execution.

SINE_CURVE:
  MATLAB version
  Set up data defining a sine curve, but perturb
  several data values.

  Because these perturbations are not extreme,
  a simple outlier test will not work.

  However, MATLAB offers a moving average, which compares
  each Y data value to a local average, and this works.
  Graphics saved as "sine_curve.png"

SINE_CURVE:
  Normal end of execution.

outliers_test():
  Normal end of execution.

07-Jan-2022 23:25:35