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
library(ggplot2)
library(datasets)
data(ToothGrowth)
names(ToothGrowth)
## [1] "len" "supp" "dose"
group_by(.data=ToothGrowth,supp, dose) %>%
summarise( c = n(),
m = mean(len),
med = median(len)
)
## Source: local data frame [6 x 5]
## Groups: supp
##
## supp dose c m med
## 1 OJ 0.5 10 13.23 12.25
## 2 OJ 1.0 10 22.70 23.45
## 3 OJ 2.0 10 26.06 25.95
## 4 VC 0.5 10 7.98 7.15
## 5 VC 1.0 10 16.77 16.50
## 6 VC 2.0 10 26.14 25.95
boxplot(ToothGrowth$len~ToothGrowth$supp+ToothGrowth$dose)
g <- ggplot(data=ToothGrowth,aes(y=len, x=supp)) +
geom_boxplot(aes(fill=supp)) +
facet_wrap(~dose)
g