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over which the regression should be done. The regression will be calculated and printed out for each n urls and followed by a regression for the entire set of data.
87 lines
2.5 KiB
Awk
Executable File
87 lines
2.5 KiB
Awk
Executable File
# The contents of this file are subject to the Mozilla Public
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# License Version 1.1 (the "License"); you may not use this file
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# except in compliance with the License. You may obtain a copy of
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# the License at http://www.mozilla.org/MPL/
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#
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# Software distributed under the License is distributed on an "AS
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# IS" basis, WITHOUT WARRANTY OF ANY KIND, either express oqr
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# implied. See the License for the specific language governing
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# rights and limitations under the License.
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#
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# The Original Code is linear-regression.awk, released November 13, 2000.
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#
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# The Initial Developer of the Original Code is Netscape
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# Communications Corporation. Portions created by Netscape are
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# Copyright (C) 2000 Netscape Communications Corporation. All
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# 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
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# terms of the GNU Public License (the "GPL"), in which case the
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# provisions of the GPL are applicable instead of those above.
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# If you wish to allow use of your version of this file only
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# under the terms of the GPL and not to allow others to use your
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# version of this file under the MPL, indicate your decision by
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# deleting the provisions above and replace them with the notice
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# and other provisions required by the GPL. If you do not delete
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# the provisions above, a recipient may use your version of this
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# file under either the MPL or the GPL.
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#
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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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