Objective With more and more scientists moving to open source software (i.e. R or Python) to perform their numerical analyses the opportunities for collaboration increase and we may all benefit from this enhanced productivity. At the risk of sounding sycophantic, the future of scientific research truly is in multi-disciplinary work. What then could be inhibiting this slow march towards progress? We tend to like to stick to what is comfortable.
Objective Most people living in the Western World are very quick to extol the virtues of gender equality. There are however many places where this is not so. This then inevitably leads to conflict as cultures and nations are drawn closer together on our ever shrinking earth. Perhaps not the sort of conflict that leads to sabre rattling, but certainly ideological disagreements that affect policy and have real impacts on large swathes of humanity.
Objective As more and more physical scientists (e.g. oceanographers) move to R from other object oriented command line programming languages, such as Matlab, there will be more and more demand for the code that is needed to do some basic things that they may already know how to do in their previous languages that they don’t yet know how to do in R. Surprisingly, there are many things that should be very easy to find how to do in R that are not.
Objective Before we begin, I would like to acknowledge that the framework for this analysis was adapted from a blogpost found on the wonderfully interesting R-bloggers website. The objective of this analysis is to use sentiment analysis on different religious texts to visualise the differences/ similarities between them. This concept is of course fraught with a host of issues. Not least of which being detractors who will likely not endeavour to engage in rational debate against the findings of this work.