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# Chapter 11 - Getting Help
# Finding Information in the R Help Files
## When you know exactly what you’re looking for
#?date
## When you don’t know exactly what you’re looking for
#??date
# Searching the Web for Help with R
RSiteSearch("cluster analysis")
install.packages("sos")
library("sos")
findFn("cluster")
# Getting Involved in the R Community
## Using the R mailing lists
## Discussing R on Stack Overflow and Stack Exchange
## Tweeting about R
# Making a Minimal Reproducible Example
dput(cars[1:4, ])
## Creating sample data with random values
set.seed(1)
x <- rnorm(5)
x
cards <- c(1:9, "J", "Q", "K", "A")
suits <- c("Spades", "Diamonds", "Hearts", "Clubs")
deck <- paste(rep(suits, each=13), cards)
set.seed(123)
sample(deck, 7)
set.seed(5)
sample(LETTERS[1:3], 12, replace=TRUE)
set.seed(42)
dat <- data.frame(
x = sample(1:5),
y = sample(c("yes", "no"), 5, replace = TRUE)
)
dat
dput(cars[1:4, ])
## Producing minimal code
## Providing the necessary information
sessionInfo()
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