Lab 1: Intro to R

library(tidyverse)
library(openintro)

Exercise 1

data('arbuthnot')

Command to extract just the counts of girls baptized.

arbuthnot$girls

##  [1] 4683 4457 4102 4590 4839 4820 4928 4605 4457 4952 4784 5332 5200 4910 4617
## [16] 3997 3919 3395 3536 3181 2746 2722 2840 2908 2959 3179 3349 3382 3289 3013
## [31] 2781 3247 4107 4803 4881 5681 4858 4319 5322 5560 5829 5719 6061 6120 5822
## [46] 5738 5717 5847 6203 6033 6041 6299 6533 6744 7158 7127 7246 7119 7214 7101
## [61] 7167 7302 7392 7316 7483 6647 6713 7229 7767 7626 7452 7061 7514 7656 7683
## [76] 5738 7779 7417 7687 7623 7380 7288

Exercise 2

Trend in the number of girls baptized over the years.

Around 1660, the plot shows the least amount of girls were baptized for births, boy and girls, between 1629 to 1710.

ggplot(data = arbuthnot, aes(x = year, y = girls)) +
  geom_line()

Exercise 3

The proportion of boys born between 1629 to 1710 is inconsistent and fluctuated between 1% to 2%. The maximum of boys born, occurred around 1660 and the minimum boys born around 1705.

arbuthnot <- arbuthnot %>%
  mutate(total = boys + girls)

arbuthnot <- arbuthnot %>%
  mutate(boy_ratio = boys / total)

ggplot(arbuthnot, aes(x=year, y=boy_ratio)) +
  geom_line()

Exercise 4

The years included in this data set are from 1940 to 2002. The present data set dimension are 63 x 3. The variables (column names) are: year, boys, and girls.

data('present', package ='openintro')

glimpse(present)

## Rows: 63
## Columns: 3
## $ year  <dbl> 1940, 1941, 1942, 1943, 1944, 1945, 1946, 1947, 1948, 1949, 1950~
## $ boys  <dbl> 1211684, 1289734, 1444365, 1508959, 1435301, 1404587, 1691220, 1~
## $ girls <dbl> 1148715, 1223693, 1364631, 1427901, 1359499, 1330869, 1597452, 1~

Exercise 5

Insert any text here.

plot <- ggplot(arbuthnot, aes(year, total)) +
  geom_point() +
  geom_line(data = present)

Exercise 6

Insert any text here.

present <- present %>%
  mutate(total = boys + girls)

present <- present %>%
  mutate(boy_ratio = boys / total)

ggplot(present, aes(x=year, y=boy_ratio)) +
  geom_line()

present <- present %>%
  mutate(more_boys = boys > girls)

ggplot(present, aes(x = year, y = more_boys)) +
  geom_line()

Exercise 7

Insert any text here.

present %>%
  arrange(desc(total))

## # A tibble: 63 x 6
##     year    boys   girls   total boy_ratio more_boys
##    <dbl>   <dbl>   <dbl>   <dbl>     <dbl> <lgl>    
##  1  1961 2186274 2082052 4268326     0.512 TRUE     
##  2  1960 2179708 2078142 4257850     0.512 TRUE     
##  3  1957 2179960 2074824 4254784     0.512 TRUE     
##  4  1959 2173638 2071158 4244796     0.512 TRUE     
##  5  1958 2152546 2051266 4203812     0.512 TRUE     
##  6  1962 2132466 2034896 4167362     0.512 TRUE     
##  7  1956 2133588 2029502 4163090     0.513 TRUE     
##  8  1990 2129495 2028717 4158212     0.512 TRUE     
##  9  1991 2101518 2009389 4110907     0.511 TRUE     
## 10  1963 2101632 1996388 4098020     0.513 TRUE     
## # ... with 53 more rows