Estimating with uncertainty (Part 2)

• Reading Assignment for Wednesday - W&S, Chapter 5
• For quartiles, type = 5 is actually the correct type to reproduce W&S answers (facepalm)
• The whiskers in boxplot are not just \( 1.5\times IQR \) in either direction
• Data Visualization Collection

• When creating a script (or R-Markdown), add a new command, knit the document to check, add another new command, knit, etc.
• Use indentation and lines - they are your friends. For example,

NO

if (number < 10) {
if (number < 5) {result <- "extra small"} 
else {result <- "small"}
} else if (number < 100) {
result <- "medium"
} else {result <- "large"}
print(result)

• When creating a script (or R-Markdown), add a new command, knit the document to check, add another new command, knit, etc.
• Use indentation - it is your friend. For example,

YES

if (number < 10) {
  if (number < 5) {
    result <- "extra small"
  } else {
    result <- "small"
  }
} else if (number < 100) {
  result <- "medium"
} else {
  result <- "large"
}
print(result)

• When creating a script (or R-Markdown), add a new command, knit the document to check, add another new command, knit, etc.
• Use indentation - it is your friend.
• Use smart variable names!!!!

# NO
fred <- read.csv("http://whitlockschluter.zoology.ubc.ca/wp-content/data/chapter03/chap03q21YeastMutantGrowth.csv")

# YES
yeastData <- read.csv("http://whitlockschluter.zoology.ubc.ca/wp-content/data/chapter03/chap03q21YeastMutantGrowth.csv")

Sampling distributions and confidence intervals