Here’s an embedded plot
library(ggplot2)
ggplot(data = mpg, aes(x = drv,
y = hwy,
colour = drv)) +
geom_boxplot()
Miles per gallon by drive type
Here’s an embedded table
library(BristolVis)
library(arsenal)
table_one <- tableby(diet ~ bmi + sex,
data = bmi,
test=TRUE, # include tests of associations between diet and exposures
total=TRUE, # include a total column
control=tableby.control(digits=1)) # to control how many decimal places are in the table
summary(table_one)
0 (N=9) | 1 (N=11) | Total (N=20) | p value | |
---|---|---|---|---|
bmi | 0.618 | |||
Mean (SD) | 30.7 (3.0) | 30.2 (1.1) | 30.4 (2.1) | |
Range | 25.0 - 33.3 | 28.0 - 31.8 | 25.0 - 33.3 | |
sex | 0.423 | |||
F | 5 (55.6%) | 8 (72.7%) | 13 (65.0%) | |
M | 4 (44.4%) | 3 (27.3%) | 7 (35.0%) |
We included 20 people from the BMI
dataset in our analyses. The mean BMI of people in this study was 30.4kg/m2 (sd = 2.1kg/m2).