library(ggplot2)
library(dplyr)
##
## Attaching package: 'dplyr'
## The following objects are masked from 'package:stats':
##
## filter, lag
## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, union
ggplot(data=mpg)+geom_point(mapping = aes(x=displ, y=hwy))+facet_wrap(~class,nrow=2)
ggplot(data=mpg)+geom_point(mapping = aes(x=displ, y=hwy))+facet_wrap(~drv,nrow=2)
ggplot(data=mpg)+geom_point(mapping = aes(x=displ, y=hwy))+facet_grid(drv ~cyl)
ggplot(data = mpg) +geom_point(mapping = aes(x = displ, y = hwy)) +geom_smooth(mapping = aes(x = displ, y = hwy))
## `geom_smooth()` using method = 'loess' and formula = 'y ~ x'
ggplot(data = mpg) + geom_smooth(mapping = aes(x = displ, y = hwy, class=cyl),se = FALSE)
## Warning in geom_smooth(mapping = aes(x = displ, y = hwy, class = cyl), se =
## FALSE): Ignoring unknown aesthetics: class
## `geom_smooth()` using method = 'loess' and formula = 'y ~ x'
## Warning: The following aesthetics were dropped during statistical transformation: class.
## ℹ This can happen when ggplot fails to infer the correct grouping structure in
## the data.
## ℹ Did you forget to specify a `group` aesthetic or to convert a numerical
## variable into a factor?
ggplot(data = mpg) + geom_smooth(mapping = aes(x = displ, y = hwy, linetype = factor(cyl)))
## `geom_smooth()` using method = 'loess' and formula = 'y ~ x'
ggplot(data = mpg) + geom_smooth(mapping = aes(x = displ, y = hwy))
## `geom_smooth()` using method = 'loess' and formula = 'y ~ x'
ggplot(data = mpg) + geom_smooth(mapping = aes(x = displ, y = hwy,color = drv))
## `geom_smooth()` using method = 'loess' and formula = 'y ~ x'
ggplot(data = mpg) + geom_smooth(mapping = aes(x = displ, y = hwy,color = drv),show.legend = FALSE)
## `geom_smooth()` using method = 'loess' and formula = 'y ~ x'
ggplot(data=mpg,mapping = aes(x=displ,y=hwy)) + geom_point() + geom_smooth()
## `geom_smooth()` using method = 'loess' and formula = 'y ~ x'
ggplot(data=mpg, mapping = aes(x=displ,y=hwy))+geom_point(mapping=aes(color=class))+geom_smooth(data=filter(mpg,class=="subcompact"))
## `geom_smooth()` using method = 'loess' and formula = 'y ~ x'
ggplot(data=mpg, mapping = aes(x=displ,y=hwy))+geom_point(mapping=aes(color=class))+geom_smooth(data=filter(mpg,class=="subcompact"),se=FALSE)
## `geom_smooth()` using method = 'loess' and formula = 'y ~ x'
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