In this homework, we will make a scatter plot using R on the
mtcars dataset.
hw2.R.pch, col options do in the plot
command. Explore changes to these options and their effects.Rmd file and final rendered report.help(package = "datasets") to list them alllibrary("datasets")
# RColorBrewer contains useful color palettes
# use `display.brewer.all()` to see all palettes
library("RColorBrewer")
# load mtcars
# mtcars is a dataset of 32 cars with different attributes
# use `?mtcars` to see the details
data(mtcars)
# use `attach` for faster access of variables
attach(mtcars)
plot(wt, mpg, pch = c(15, 16, 15, 15, 15), col = factor(cyl))
# add legend
legend("topright", legend = c("manual", "automatic", "cyl = 4", "cyl = 6", "cyl = 8"), pch = c(15, 16, 15, 15, 15), col = c(1, 1, 1, 2, 3))
Parameters in the plot command:
pch: a vector of plotting characters
or symbols. In other words, it uses a numerical code to assign a symbol
to corresponding points in the plot.
col: assigns a color to the
points of interest
summary(mtcars)
## mpg cyl disp hp
## Min. :10.40 Min. :4.000 Min. : 71.1 Min. : 52.0
## 1st Qu.:15.43 1st Qu.:4.000 1st Qu.:120.8 1st Qu.: 96.5
## Median :19.20 Median :6.000 Median :196.3 Median :123.0
## Mean :20.09 Mean :6.188 Mean :230.7 Mean :146.7
## 3rd Qu.:22.80 3rd Qu.:8.000 3rd Qu.:326.0 3rd Qu.:180.0
## Max. :33.90 Max. :8.000 Max. :472.0 Max. :335.0
## drat wt qsec vs
## Min. :2.760 Min. :1.513 Min. :14.50 Min. :0.0000
## 1st Qu.:3.080 1st Qu.:2.581 1st Qu.:16.89 1st Qu.:0.0000
## Median :3.695 Median :3.325 Median :17.71 Median :0.0000
## Mean :3.597 Mean :3.217 Mean :17.85 Mean :0.4375
## 3rd Qu.:3.920 3rd Qu.:3.610 3rd Qu.:18.90 3rd Qu.:1.0000
## Max. :4.930 Max. :5.424 Max. :22.90 Max. :1.0000
## am gear carb
## Min. :0.0000 Min. :3.000 Min. :1.000
## 1st Qu.:0.0000 1st Qu.:3.000 1st Qu.:2.000
## Median :0.0000 Median :4.000 Median :2.000
## Mean :0.4062 Mean :3.688 Mean :2.812
## 3rd Qu.:1.0000 3rd Qu.:4.000 3rd Qu.:4.000
## Max. :1.0000 Max. :5.000 Max. :8.000