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