Module #10 Building your own R package

 This assignment was tricky because I have never before considered being able to create my own R-package before and considered it to be more of a "professionals-only" kind of thing. Regardless, I was interested in finding something inspiring enough to create a package for. I was intimidated by the examples given, mostly because they seem so confident in their premise and goal, but I think I have a proposal for a potential R package that I would be interested in creating; my main concern is developing functions, finding data, and applying R skills to create a package with so many qualities. My proposal for ma final project would be a package that uses data to illustrate geographic data corresponding to forestation and deforestation. I would prefer to limit geographical aspect to South America simply because of its significance to the deforestation problems there and also because I want to limit the scope of the package. I'm not sure how I would do this, but I'm hoping that it's easier than it seems. Link to my GitHub: James GitHub

Module #8 Input/Output, string manipulation

 This assignment was designed to understand manipulating datasets and being able to interpret their properties through R. 

I naturally imported the file this way out of habit, although the way presented in the module is equally as fruitful for inputting a dataset into R.  I initialized the dataset and placed it into a more user-friendly name to use simply called "data.set". I then used the given hints to create a dataframe that collected names from the dataset that contained the letter "I" and also the given frame for "sex" and the mean grade average.

The final data frame, containing only the names with "i" was saved using the write.csv() function. There's currently no way to incorporate a file into blogger so a screenshot is attached to show the final product: