Tips and short tutorials on various programming technologies
Imagine you wanted to come up with a “classifier” to predict whether Georgia would win a given American football game. So you might get (training) data from all their games from the previous two years. Then you might come up with rules based on that data. For example, if the quarterback throws for 300+ yards, [...] Read more »
Java has functionality built into it to transform a number using the natural logarithm. This can be done using the java.util.Math.log() method. However, to my knowledge there is no way to do this for base-2 logarithms.
Please don’t let me get started on how silly this is!!
To do a base-2 log transformation:
public static double [...] Read more »
When you create a plot in R, you can easily modify the text size of the labels on the axes using the cex.lab property. This stands for “character expansion of labels.” For this value, you specify a relative size (compared to the default) that you want the text to be. The following code shows how [...] Read more »
To my knowledge, there is no built-in function in Python to find the mean of a list of numbers. You can use statistics packages to do this, such as statpy, but if you just want a lightweight solution to do the trick you can use the function below. Note that on the first line I [...] Read more »
It is very simple to do a log transformation in Python. Log transformations are sometimes performed on a set of numbers to smooth out the data (make it look more “Normal”), which can help in performing certain statistical analyses.
The default in Python is the natural log. So for demonstration purposes, I will first find e^10. [...] Read more »
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