In the last post, we learned how to use .format() to improve the quality of our print() statements. You may have noticed that we were still printing lots of values after the decimal point, more than are necessary. In this post we will learn to control the presentation of numerical values. Representing and adjusting numbers using .format() With the .format()
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In the last post, our program printed out the computed BMI with lots of precision (24.489795918367346) and no additional information. In hindsight, it would have been more informative to tell the user that A weight of 75 kg and a height of 1.75 meters equal a MBI if 24.5. In the next few posts we will learn how to create
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In the previous post we learned how to create and format a LaTeX document. Here we will build on the previous document and add a figure and table. The complete file to generate this version of the document shown in Figure 1 is: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17
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Using digital tools to version control code is slowly gaining favour among scientists, especially those who use computer programs to process and analyse data. When I first learned about version control, one of the most attractive features was the ability to version control manuscripts. Anyone who has tried to write a scientific paper or research proposal knows the document often
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In the previous post, when repeated measures data from 10 subjects in 2 conditions were compared, it seemed that subjects who took drug 1 slept fewer hours compared to when they took drug 2. How might we test whether the median number of hours of sleep after drug 1 is less than after drug 2? We can calculate the difference
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In the previous post we plotted repeated measures data from 10 subjects under 2 conditions. There are different ways to analyse small datasets. We could apply parametric methods to analyse the data values, such as describing the data with means and standard deviations, and calculating a paired difference. Or, we could also apply non-parametric methods by analysing data values based
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