This is an R Markdown document. Markdown is a simple formatting syntax for authoring HTML, PDF, and MS Word documents. For more details on using R Markdown see http://rmarkdown.rstudio.com.
When you click the Knit button a document will be generated that includes both content as well as the output of any embedded R code chunks within the document. You can embed an R code chunk like this:
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, 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")
```
You can also embed plots, for example:
Note that the echo = FALSE
parameter was added to the
code chunk to prevent printing of the R code that generated the
plot.