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Hey, I have added a reference link for Boolean values under The setup. I came upon this article while looking for resources to learn Python. This citation, in my opinion, will enhance the content of this article. Hope that my contribution will benefit other learners.
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README.md

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from rtanalysis.rtanalysis import RTAnalysis
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rta = RTAnalysis()
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The data to be analyzed should be stored in two pandas Series of the same size, one containing response times (non-negative floating point numbers) and another containing accuracy values for each trial (Boolean values). Assuming those variables are called ``rt`` and ``accuracy`` respectively, the model can be fit using:
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The data to be analyzed should be stored in two pandas Series of the same size, one containing response times (non-negative floating point numbers) and another containing accuracy values for each trial [(Boolean values)](https://www.scaler.com/topics/python/boolean-operators-in-python/). Assuming those variables are called ``rt`` and ``accuracy`` respectively, the model can be fit using:
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rta.fit(rt, accuracy)
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## Exercise 2
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Generate two new tests that will cause these two sections of code to be executed and thus raise coverage of rtanalysis.py to 100%.
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Generate two new tests that will cause these two sections of code to be executed and thus raise coverage of rtanalysis.py to 100%.

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