Hello All,
Forgive me if this a blatantly newbie question or not germane to the list, but i was wondering if my current approach to my problem is the best way in R.
I have two experimental datasets (positive and negative) of differing lengths and a large number of ways of numerically expressing the data by using various scales to represent each data point.
I am looking for a scale that will allow me to differentiate between the positive and negative populations.
Each dataset is simply a list of numbers: 43 numbers in the positive case and 9 in the negative (small sets, i know, but it's all the data i currently have) and I have hundreds of scales.
I assign each dataset to a variable using scan() (each are in separate files).
My initial comparison of the two datasets is simply a boxplot with the hope that the two do not overlap too much...
Is this the way you would approach this problem? Is there an easier way of doing this in R?
Any and all help is greatly appreciated!
james
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