Any exercises not completed in class will be due Wednesday at 11 pm.
Projects
If you need help, or just want to share your progress, please come to office hours or chat with us during class about your projects.
We have added a folder of test script bits in the Term_project folder. Check it out! Could be super helpful.
Fantastic R resources:
This one is great for shiny project people
https://bookdown.org/yihui/rmarkdown/notebook.html
This is great for learning the tidyverse
Today in class you are going go through several R tutorials to learn about using R notebooks in R studio, the basics of the tidyverse, and how to play with data in the tidyverse.
http://www.storybench.org/getting-started-r-rstudio-notebooks/
http://www.storybench.org/getting-started-with-tidyverse-in-r/
http://www.storybench.org/how-to-explore-a-dataset-from-the-fivethirtyeight-package-in-r/
For the code:
murders_final_sort %
arrange(
change)
murders_final_sort
Use this instead:
murders_final_sort <- murders_final %>%
arrange(
change)
murders_final_sort
For the code:
midpts <- barplot(murders_final_sort$change,
cex.axis = 1.0, cex.names = 0.6,
ylim = c(-20, 120), main = "Change in murders from 2014 to 2015"
)
text(murders_final_sort$city,
x = midpts,
offset = -0.1,
y = -20,
cex = 0.5,
srt = 60,
xpd = TRUE,
pos = 2
)
Use this instead:
midpts <- barplot(murders_final_sort$change,
cex.axis = 1.0, cex.names = 0.6,
ylim = c(-20, 120), main = "Change in murders from 2014 to 2015"
)
text(murders_final_sort$city_state,
x = midpts,
offset = -0.1,
y = -20,
cex = 0.5,
srt = 60,
xpd = TRUE,
pos = 2
)
Make R notebooks for each of the three tutorials. Name these tutorials:
Copy these R notebook files to the ~/classdata/In_class/Week7/Monday directory