Yingying Chen_Exercise 9#3
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lyy005
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Nov 10, 2017
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| # I don't know what happened to my code that I cannot get the right answer | ||
| #Feel free to comment on the code. Thanks. | ||
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For each t-test, the null hypothesis should include both the WT and mutation. For example, for the test of I213N, the data should include WT and I213N. The null assumes the mutation does not affect the counts whereas the alternative hypothesis assumes mutation has an effect on the counts. Both tests are based on the same dataset
lyy005
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Nov 10, 2017
| #Iterations: 134 | ||
| #Function evaluations: 242 | ||
| #array([ 1.45896358, 42.57991424, 0.04348732]) | ||
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lyy005
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Nov 10, 2017
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| D2=2*(fitalter1.fun-fitalter2.fun) | ||
| 1-chi2.cdf(x=D2,df=2) | ||
| # A hump-shape model is better than linear model. |
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