Section 1.4 Coding for Machines and Humans
Read Section 1.4 in Hello Data Science and peruse Chapter 2 of the Tidyverse style guide. Using what you’ve learned, modify the code below to be more readable and consistent with these guidelines.
stat_210_students <- c ("Archie" , "Edith" , "Gloria" , "Meathead" , "Lionel" )
exam_scores <- c (67 , 89 , 73 , 71 , 84 )
extra_credit <- c (5 , 3 , 6 , 9 , 5 )
total_score <- exam_scores + extra_credit
stat_210 <- data.frame (students = stat_210_students, exam = exam_scores,
EC = extra_credit, total = total_score)
stat_210
students exam EC total
1 Archie 67 5 72
2 Edith 89 3 92
3 Gloria 73 6 79
4 Meathead 71 9 80
5 Lionel 84 5 89
Section 1.5 R Packages
Go to the Console and install the cowsay package. Add code below that loads the package and then test out the say() function by using it create output with three different animals/sayings.
library (cowsay)
say (what = "Hello woRld!" )
______________
< Hello woRld! >
--------------
\
\
^__^
(oo)\ ________
(__)\ )\ /\
||------w|
|| ||
say (what = "All glory to the Hypnotoad! " , by = "hypnotoad" )
_____________________________
< All glory to the Hypnotoad! >
-----------------------------
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say (what = "Fear is the path to the dark side.
Fear leads to anger. Anger leads to hate. Hate leads to suffering." ,
by = "yoda" )
______________________________________________________
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\ anger. Anger leads to hate. Hate leads to suffering. /
------------------------------------------------------
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