STA100 Lab9

Lab Assignment 6 (Lab projects?)

1. Go though LabAssignment6.pdf LabAssignment6.pdf

2. Download LabAssignment6.Rmd (LabAssignment6.Rmd, egyptianCotton.csv) in RStudio and run codes inside. Things should be exactly same as LabAssignment6.pdf.

3. Download, open LabAssignment6_butter.Rmd LabAssignment6_butter.Rmd and save as a new Rmd file for your own Lab Assignment submission. Knit this Rmd file to see if you can make a HTML, PDF or Word. If you couldn’t, just use RStudio Cloud or the Binder RStudio set by Po.

4. Run/add/edit/delete the codes in your own copy of LabAssignment6_butter.Rmd and add/edit/delete some writings. Knit to see how the .pdf looks like. Tidy up the codes and writings. Knit and submit!

Path for data/files/success

1. Set working directory.

2. Put you data egyptianCotton.csv into a good directory.

3. 📊 Which of the following do you prefer?

   🦃

   ec <- read.csv("/Users/nicepo/IU_is_no1/egyptianCotton.csv")

   🦆

   ec <- read.csv("C:\\Users\\nicepo\\IU_is_no1\\egyptianCotton.csv")

   🦚

   ec <- read.csv("egyptianCotton.csv")

   🦉

   ec <- read.csv("data/egyptianCotton.csv")

   🦢

   ec <- read.csv("https://ucdavis-sta-100-spring-2021.github.io/polabs/egyptianCotton.csv")

4. Understand your path for success! https://en.wikipedia.org/wiki/Path_(computing)

Help/Documentation

There is no secret ingredient. – Mr. Ping 🍜

Read the R Documentation of every functions you have seen.

?rnorm

?dim

?read.csv

?head

?anova

?aov

?TukeyHSD

?par

?boxplot

?hist

?plot

How Po knows all those built-in functions in R?

• Way 1: Google it

• Way 2: Read R Help/Documentation

R tutorials that help you survive 🦃

• Interactive R course lessons swirl https://swirlstats.com/students.html

  Install swirl with the following commands.

  # If you haven't installed the swirl package yet
  install.packages("swirl")
  library(swirl)
  install_course_github("swirldev", "R_Programming_E")

  After swirl is installed (you only need to do it once), you can start/resume the R tutorial with the commands:

  library(swirl)
  swirl()

  Schedule some time to go though all the lessons by yourself! Almost all of the R codes you need to know are here in those lessons.

• If you prefer more static readings (Po did read them to learn R!):

  • R for Beginners https://cran.r-project.org/doc/contrib/Paradis-rdebuts_en.pdf
  • An Introduction to R https://cran.r-project.org/doc/manuals/r-release/R-intro.pdf

• If you like RStudio’s data science things,

  • R for Data Science https://r4ds.had.co.nz/
  • RStudio Primer https://rstudio.cloud/learn/primers/