From 1f42479b3d8f9295a470df3da03d5cf3c213c0a5 Mon Sep 17 00:00:00 2001 From: Gianfranco Durin Date: Tue, 29 Nov 2011 16:30:46 +0100 Subject: [PATCH] Fixed various typos in README.rst Fixed syntax in the example test. --- README.rst | 11 ++++++----- test/eckerle4/run_fit | 3 +-- 2 files changed, 7 insertions(+), 7 deletions(-) diff --git a/README.rst b/README.rst index 2653f4e..5439fc4 100644 --- a/README.rst +++ b/README.rst @@ -16,15 +16,15 @@ The easiest way to install bestFit is:: $ git clone git://github.com/gdurin/pyFitting.git -It requires the following packages:: +It requires the following packages - python 2.7.x (because of the print("Print this") statement. It can be easily change to the 2.6.x version print "Print this" +python 2.7.x (because of the print("Print this") statement. It can be easily change to the 2.6.x version print "Print this" - numpy and scipy (see http://www.scipy.org) +`numpy and scipy `_ - matplotlib (1.0.x - see http://matplotlib.sourceforge.net/ ) +`matplotlib `_ (1.0.x) - numexpr (see http://code.google.com/p/) +`numexpr `_ If not present, install them with easy_install, i.e. easy_install numexpr (under root) @@ -131,3 +131,4 @@ In this run we have used the analytical derivatives with the "-d" option. Try no >>> pValue = 1.000000 (statistically significant if < 0.05) If it is similar, your are done! + diff --git a/test/eckerle4/run_fit b/test/eckerle4/run_fit index 006cadc..e5949ec 100755 --- a/test/eckerle4/run_fit +++ b/test/eckerle4/run_fit @@ -1,2 +1 @@ -bestFit -f data.dat -p b1,b2,b3 -t "b1/b2*exp(-(x-b3)**2/(2.*b2**2))" -i 1.,10.,500. -c 1,0 -s .005 - +bestFit -f data.dat -p b1 b2 b3 -t "b1/b2*exp(-(x-b3)**2/(2.*b2**2))" -i 1. 10. 500. -c 1 0