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Merge pull request #6 from Sachinbhatttech/patch-1
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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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