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Fixed various typos in README.rst
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Fixed syntax in the example test.
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gdurin committed Nov 29, 2011
1 parent d39a799 commit 1f42479
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11 changes: 6 additions & 5 deletions README.rst
Expand Up @@ -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 <http://www.scipy.org>`_

matplotlib (1.0.x - see http://matplotlib.sourceforge.net/ )
`matplotlib <http://matplotlib.sourceforge.net/>`_ (1.0.x)

numexpr (see http://code.google.com/p/)
`numexpr <http://code.google.com/p/numexpr/>`_

If not present, install them with easy_install, i.e. easy_install numexpr (under root)

Expand Down Expand Up @@ -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!

3 changes: 1 addition & 2 deletions 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

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