Basic Plotting

R has a really powerful base plotting system. We’re going to go over the most basic of these options

generate some random data to plot

x <- rnorm(100)
y <- rlnorm(100)

histogram

hist(x)

to get the percentages

hist(x, freq=FALSE)

sometimes boxplots are very insightful… those outliers!

boxplot(y)

another doozy, the scatterplot

plot(y~x)              #yes, the tilde is important

add a basic title

plot(y~x, main="Y versus X, yo")

mosaic plot: you can use the plot function for two factors

factor1 <- as.factor(c("yes","yes","maybe","yes","yes","yes","no","no","yes","no"))
factor2 <- as.factor(c("red","red","blue","red","blue","red","blue","blue","blue","red"))
plot(factor1~factor2)

Basic Trendline (like Excel)

plot(y~x)
my_line <- lm(y~x)
abline(my_line)