You will submit your homework as an R Markdown (.Rmd)
file by committing to your git repository and pushing to
GitLab. We will knit this file to produce the
.html output file (you do not need to submit the
.html, but you should make sure that it can be produced
successfully).
We will review both your .Rmd file and the
.html file. To receive full credit:
You must submit your .Rmd file on time. It must be
named exactly as specified, and it must knit without errors to produce a
.html file.
The .html file should read as a well written report,
with all results and graphs supported by text explaining what they are
and, when appropriate, what conclusions can be drawn. Your report should
not contain any extraneous material, such as leftovers from a
template.
The R code in your .Rmd file must be clear,
readable, and follow the coding
standards.
The text in your .Rmd file must be readable and use
R markdown properly, as shown in the class template
file.
Take possession of your GitLab repository in the course group on the UIowa GitLab server.
Create a new folder called HW1 in your repository.
Use exactly this spelling with upper case letters. You
can do this in the RStudio IDE, with R’s dir.create
function, or using a shell.
In this folder, create a new Rmarkdown file called
hw1.Rmd. Again use exactly this spelling.
RStudio will give you a template, or you can use the one available here. Commit your new file to your repository. (If
you are using git in a shell you will need to use
git add before git commit).
In this file present your answers to the following problems. Your presentation should follow the pattern and guidelines in the class template file.
Using the faithful data set compute the average waiting
time between eruptions of the Old Faithful geyser. Report your
result in the a sentence of the form
faithful is X
minutes.with X replaced by the correct value computed with inline code in
your .Rmd file. Make sure to use proper markup to have
Old Faithful in italics and faithful rendered as
code (in a fixed width font with a gray backround).
Compute the first four eruption durations in the
faithful data sets. Use a code chunk that shows both the
code and the results as produced by R. Don’t forget to include a
sentence explaining what you are showing.
Using the head() function to compute the first five rows
of the faithful data frame and show the result as a nicely
formatted table. In this case your report should show only the table,
not the code that produces it. You can start with this code chunk:
```{r, echo = FALSE}
d <-data.frame(x = c(1, 2, 3), y = c(4, 5, 6))
kbl <- knitr::kable(d, format = "html")
kableExtra::kable_styling(kbl, full_width = FALSE)
```
Use the hist() function to create a histogram
of the eruption durations in the faithful data set.
(?help and example(hist) may be useful).
Describe any interesting features of the distribution that you
notice.
You can create an HTML file in RStudio using the Knit
tab on the editor window. You can also use the R command
rmarkdown::render("hw1.Rmd")
with your working directory set to HW1.
Commit your changes to your hw1.Rmd file to your local
git repository. You do not heed to commit your HTML file.
Submit your work by pushing your local repository changes to your remote repository on the UI GitLab site. After doing this, it is a good idea to check your repository on the UI GitLab site to make sure everything has been submitted successfully