library(magrittr)
library(ggplot2) # or library(tidyverse)

Start by having a look at the CO2 dataset:

head(CO2)

What we would like to do now, is to make a scatter plot of he data. But we only want to plot plants from Quebec, with “nonchilled” treatment.

Basically we want to: * Take our CO2 dataset -

• Subset the Quebec plant

• Subset the nonchilled treatment

• Plot the data

Written in oneline this would be written:

ggplot(subset(subset(CO2, Type=="Quebec"), Treatment=="nonchilled"), aes(x=conc, y=uptake)) +
         geom_point()

The code can be improved by:

Quebec_CO2 <- subset(CO2, Type=="Quebec")
nonchilled_Quebec_CO2 <- subset(Quebec_CO2, Treatment=="nonchilled")
ggplot(nonchilled_Quebec_CO2, aes(x=conc, y=uptake)) +
  geom_point()

But in this case, we need to create lots of intermediates. Try to use pipes %>% to create the same plot with one single piece of code.

Remember what we want to achieve:

• Take our CO2 dataset -

• Subset the Quebec plant

• Subset the nonchilled treatment

• Plot the data