Files with extension .Rmd are R Markdown files. We are going to practice compiling .Rmd files, i.e. knit them, to HTML pages.

  1. Change the name of the author above to yours and change the date.
  2. Complete the work in the sections below, periodically “Knitting” to make sure things work.
  3. Once you feel you are done, in the resulting pop-up window of an HTML page, click on “Publish” (in blue on the top-right) -> RPubs -> Publish.
    • Create an RPubs account
    • Give it
      • Title: “YOUR NAME Problem Set 01”
      • “slug” i.e. URL completion: problem_set_01
  4. Your analysis is now online and visible to the world! You can update what’s online by repeating the previous 2 steps.
  5. Copy the URL of the resulting RPubs page and complete the submission form on the Problem Set page

Part 1: Babyname Trend

Using a combination of Google, your instincts, and/or trial and error, find an one example of a name for a given sex whose popularity trend you find interesting. Add a sentence or two about your hypothesis as to why we see this trend. You’ll be copying over code from the example babynames.Rmd done in class for Lec03 below:

# Load packages
library(ggplot2)
library(dplyr)
library(babynames)

# Compute counts/proporations for "Other" names
other <- babynames %>% 
  group_by(year, sex) %>% 
  summarise(sum_n=sum(n), sum_prop=sum(prop)) %>% 
  mutate(
    total = sum_n/sum_prop,
    name = "Other",
    prop = 1-sum_prop,
    n = prop * total
    ) %>% 
  select(year, sex, name, n, prop)

# Add "Other" names to babynames
babynames <- babynames %>% 
  bind_rows(other) %>% 
  arrange(year, sex, desc(n))
View(babynames)
baby_name <- "Michael"

baby_sex <- "M"

single_name <- babynames %>% 
  filter(name==baby_name & sex==baby_sex)

ggplot(data=single_name, mapping = aes(x=year, y=prop)) + 
  geom_line() +
  xlim(c(1880, 2014)) +
  ylim(c(0, NA)) +
  xlab("Year") +
  ylab(paste("Prop. of ", baby_sex, " born with name ", baby_name, sep=""))

This trend is due to a growth in popularity starting around 1935, which peaked around 1970. The sharp decline in the number of males born with the name Michael may be due to a desire to have unique child names, which was not the case when around 1 in every 25 males born were named Michael.

Part 2: Markdown Examples

You do not need to do submit anything in this section, but please give it a quick read:

What is R Markdown? It’s R + Markdown. What is Markdown? Markdown is a way to quickly write HTML code to publish to a webpage. We will be learning these on an “as needed basis”, but take a look and the commands below, and see what they look like after you Knit the page; they are rather simple to understand. You can see a full list of Markdown commands by going to RStudio menu bar -> Help -> Markdown Quick Reference.

Quick lists:

  • Hello world
  • My name is Albert
    • Make sublists
    • Yeah

Quick URLs: https://www.nhl.com/

Quick numbered lists:

  1. Blah
  2. Blah
  3. Blah

Tables:

First Header Second Header
Content Cell Content Cell
Content Cell Content Cell

LaTeX for fancy math equations:

\(\frac{1}{\sqrt{2\pi\sigma^2}}\exp\left(-\frac{(x-\mu)^2}{2\sigma^2}\right)\)