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93 lines
2.8 KiB
Awk
Executable File
93 lines
2.8 KiB
Awk
Executable File
# ***** BEGIN LICENSE BLOCK *****
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# Version: MPL 1.1/GPL 2.0/LGPL 2.1
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#
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# The contents of this file are subject to the Mozilla Public License Version
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# 1.1 (the "License"); you may not use this file except in compliance with
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# the License. You may obtain a copy of the License at
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# http://www.mozilla.org/MPL/
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#
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# Software distributed under the License is distributed on an "AS IS" basis,
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# WITHOUT WARRANTY OF ANY KIND, either express or implied. See the License
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# for the specific language governing rights and limitations under the
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# License.
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#
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# The Original Code is linear-regression.awk, released
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# November 13, 2000.
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#
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# The Initial Developer of the Original Code is
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# Netscape Communications Corporation.
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# Portions created by the Initial Developer are Copyright (C) 2000
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# the Initial Developer. All Rights Reserved.
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#
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# Contributor(s):
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# Chris Waterson <waterson@netscape.com>
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#
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# Alternatively, the contents of this file may be used under the terms of
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# either the GNU General Public License Version 2 or later (the "GPL"), or
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# the GNU Lesser General Public License Version 2.1 or later (the "LGPL"),
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# in which case the provisions of the GPL or the LGPL are applicable instead
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# of those above. If you wish to allow use of your version of this file only
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# under the terms of either the GPL or the LGPL, and not to allow others to
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# use your version of this file under the terms of the MPL, indicate your
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# decision by deleting the provisions above and replace them with the notice
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# and other provisions required by the GPL or the LGPL. If you do not delete
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# the provisions above, a recipient may use your version of this file under
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# the terms of any one of the MPL, the GPL or the LGPL.
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#
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# ***** END LICENSE BLOCK *****
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function regress(DATAPOINTS,SX,SY,SXY,SX2)
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{
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b1 = (DATAPOINTS * SXY - SX * SY) / (DATAPOINTS * SX2 - SX * SX);
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b0 = (SY - b1 * SX ) / DATAPOINTS;
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return b1 " * x + " b0;
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}
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BEGIN {
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if (!Skip) Skip = 0;
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if (Interval)
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{
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Count = 0;
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IntervalCount = 0;
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}
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}
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NR>Skip {
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sx += $1;
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sy += $2;
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sxy += $1 * $2;
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sx2 += $1 * $1;
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#print NR " " sx " " sy " " sxy " " sx2
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if (Interval)
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{
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if(Count == Interval-1)
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{
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IntervalCount += 1;
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print NR-Count, "-", NR, ": ", regress(Count,isx,isy,isxy,isx2);
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Count = 0;
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isx = 0;
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isy = 0;
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isxy = 0;
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isx2 = 0;
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}
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else
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{
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Count += 1;
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isx += $1;
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isy += $2;
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isxy += $1 * $2;
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isx2 += $1 * $1;
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}
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}
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}
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END {
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if(Interval) {
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print NR-Count, "-", NR, ": ", regress(Count,isx,isy,isxy,isx2);
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}
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print regress(NR-Skip, sx, sy, sxy, sx2);
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}
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