R is a very new programming language to me, and to be
honest, I’m a little nervous about the course because I have not fared too well
in C++ and Java alike. I really love statistics (also didn’t do great in that
course) and I love big data. As such, the notion of learning and understanding
R programming language is very attractive for me in the E-Commerce &
Internet Marketing field where I am currently, and plan to be for many years to
come. On its face, R doesn’t look to be too overwhelming in terms of
understanding how the language and syntax works, as well as its capabilities.
Module #1 has been good to me so far! I was able to follow
the assigned tutorial with relative ease, although I did have problems creating
a scatter plot of a data set using plot(x = s$age_husband , y = s$age_wife,
type = ‘p’) due to an error that the s object could not be found. I am not sure
how the writer was able to accomplish this and I would welcome any comments
that can provide me with the necessary insight. I thought the transformation of
data was pretty smooth using the R interface, and I took some time to play
around with different equations, based initially off of the equations presented
in the tutorial.
This Module covered, in large part, Objects, Functions and
Vector. Data can be stored in Objects, and then when the Object is called, it
is replaced with the data that is saved inside. Functions are types of
procedures or routines, and are especially important in R because the language
has so many pre-existing functions to execute complex tasks. Common examples of
functions include mathematical functions that determine the mean, standard
deviation, sum and others. Vectors are defined as a sequence of data elements
of the same basic type, which is a lot like a string of common elements.
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