/usr.bin/ministat/ministat.1

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  1. .\"
  2. .\" Copyright (c) 2007 Poul-Henning Kamp
  3. .\" All rights reserved.
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  26. .\" $FreeBSD$
  27. .\"
  28. .Dd June 28, 2010
  29. .Dt MINISTAT 1
  30. .Os
  31. .Sh NAME
  32. .Nm ministat
  33. .Nd statistics utility
  34. .Sh SYNOPSIS
  35. .Nm
  36. .Op Fl ns
  37. .Op Fl C Ar column
  38. .Op Fl c Ar confidence_level
  39. .Op Fl d Ar delimiter
  40. .Op Fl w Op width
  41. .Op Ar
  42. .Sh DESCRIPTION
  43. The
  44. .Nm
  45. command calculates fundamental statistical properties of numeric data
  46. in the specified files or, if no file is specified, standard input.
  47. .Pp
  48. The options are as follows:
  49. .Bl -tag -width Fl
  50. .It Fl n
  51. Just report the raw statistics of the input, suppress the ASCII-art plot
  52. and the relative comparisons.
  53. .It Fl s
  54. Print the average/median/stddev bars on separate lines in the ASCII-art
  55. plot, to avoid overlap.
  56. .It Fl C Ar column
  57. Specify which column of data to use.
  58. By default the first column in the input file(s) are used.
  59. .It Fl c Ar confidence_level
  60. Specify desired confidence level for Student's T analysis.
  61. Possible values are 80, 90, 95, 98, 99 and 99.5 %
  62. .It Fl d Ar delimiter
  63. Specifies the column delimiter characters, default is SPACE and TAB.
  64. See
  65. .Xr strtok 3
  66. for details.
  67. .It Fl w Ar width
  68. Width of ASCII-art plot in characters, default is 74.
  69. .El
  70. .Pp
  71. A sample output could look like this:
  72. .Bd -literal -offset indent
  73. $ ministat -s -w 60 iguana chameleon
  74. x iguana
  75. + chameleon
  76. +------------------------------------------------------------+
  77. |x * x * + + x +|
  78. | |________M______A_______________| |
  79. | |________________M__A___________________| |
  80. +------------------------------------------------------------+
  81. N Min Max Median Avg Stddev
  82. x 7 50 750 200 300 238.04761
  83. + 5 150 930 500 540 299.08193
  84. No difference proven at 95.0% confidence
  85. .Ed
  86. .Pp
  87. If
  88. .Nm
  89. tells you, as in the example above, that there is no difference
  90. proven at 95% confidence, the two data sets you gave it are for
  91. all statistical purposes identical.
  92. .Pp
  93. You have the option of lowering your standards by specifying a
  94. lower confidence level:
  95. .Bd -literal -offset indent
  96. $ ministat -s -w 60 -c 80 iguana chameleon
  97. x iguana
  98. + chameleon
  99. +------------------------------------------------------------+
  100. |x * x * + + x +|
  101. | |________M______A_______________| |
  102. | |________________M__A___________________| |
  103. +------------------------------------------------------------+
  104. N Min Max Median Avg Stddev
  105. x 7 50 750 200 300 238.04761
  106. + 5 150 930 500 540 299.08193
  107. Difference at 80.0% confidence
  108. 240 +/- 212.215
  109. 80% +/- 70.7384%
  110. (Student's t, pooled s = 264.159)
  111. .Ed
  112. .Pp
  113. But a lower standard does not make your data any better, and the
  114. example is only included here to show the format of the output when
  115. a statistical difference is proven according to Student's T method.
  116. .Sh SEE ALSO
  117. Any mathematics text on basic statistics, for instances Larry Gonicks
  118. excellent "Cartoon Guide to Statistics" which supplied the above example.
  119. .Sh HISTORY
  120. The
  121. .Nm
  122. command was written by Poul-Henning Kamp out of frustration
  123. over all the bogus benchmark claims made by people with no
  124. understanding of the importance of uncertainty and statistics.
  125. .Pp
  126. From
  127. .Fx 5.2
  128. it has lived in the source tree as a developer tool, graduating
  129. to the installed system from
  130. .Fx 8.0 .