?plot
## starting httpd help server ... done
x <- rnorm(100)
y <- rnorm(100)
plot(x,y, xlab="this is x axis", ylab="This is the y axis", main = "plot of x and y")
x<-c(1:10)
x
## [1] 1 2 3 4 5 6 7 8 9 10
y<-x^2
y
## [1] 1 4 9 16 25 36 49 64 81 100
plot(x,y, xlab="this is x axis", ylab="This is the y axis", main = "plot of x and y")
plot(x,y, xlab="this is x axis", ylab="This is the y axis", main = "plot of x and y", type = "l")
plot(x,y, xlab="this is x axis", ylab="This is the y axis", main = "plot of x and p")
plot(x,y, xlab="this is x axis", ylab="This is the y axis", main = "plot of x and b")
library(ggplot2)
ggplot2::mpg
## # A tibble: 234 × 11
## manufacturer model displ year cyl trans drv cty hwy fl class
## <chr> <chr> <dbl> <int> <int> <chr> <chr> <int> <int> <chr> <chr>
## 1 audi a4 1.8 1999 4 auto… f 18 29 p comp…
## 2 audi a4 1.8 1999 4 manu… f 21 29 p comp…
## 3 audi a4 2 2008 4 manu… f 20 31 p comp…
## 4 audi a4 2 2008 4 auto… f 21 30 p comp…
## 5 audi a4 2.8 1999 6 auto… f 16 26 p comp…
## 6 audi a4 2.8 1999 6 manu… f 18 26 p comp…
## 7 audi a4 3.1 2008 6 auto… f 18 27 p comp…
## 8 audi a4 quattro 1.8 1999 4 manu… 4 18 26 p comp…
## 9 audi a4 quattro 1.8 1999 4 auto… 4 16 25 p comp…
## 10 audi a4 quattro 2 2008 4 manu… 4 20 28 p comp…
## # ℹ 224 more rows
ggplot(data = mpg) + geom_point(mapping = aes(x = displ, y = hwy))
ggplot(data = mpg) + geom_point(mapping = aes(x = displ, y = cty))
ggplot(data = mpg) + geom_point(mapping = aes(x = displ, y = hwy, color=class))
ggplot(data = mpg) + geom_point(mapping = aes(x = displ, y = hwy, color=manufacturer))
ggplot(data = mpg) + geom_point(mapping = aes(x = displ, y = hwy, size=class))
## Warning: Using size for a discrete variable is not advised.
ggplot(data = mpg) + geom_point(mapping = aes(x = displ, y = hwy, alpha=class))
## Warning: Using alpha for a discrete variable is not advised.
ggplot(data = mpg) + geom_point(mapping = aes(x = displ, y = hwy, shape=class))
## Warning: The shape palette can deal with a maximum of 6 discrete values because more
## than 6 becomes difficult to discriminate
## ℹ you have requested 7 values. Consider specifying shapes manually if you need
## that many have them.
## Warning: Removed 62 rows containing missing values or values outside the scale range
## (`geom_point()`).
ggplot(data = mpg) + geom_point(mapping = aes(x = displ, y = hwy), color="blue")
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