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--- | |
title: "`mapply` and `rmarkdown` for exploratory analysis" | |
output: | |
html_document: | |
fig_height: 5 | |
fig_width: 7 | |
toc: true | |
toc_float: true | |
toc_depth: 4 | |
--- | |
```{r setup, echo=FALSE,warning=FALSE,message=FALSE,cache=FALSE, results='hide'} | |
library(ggplot2) | |
``` | |
```{r QOL-indiv, eval=T} | |
parameters <- data.frame(varNames = c("mpg", "disp", "hp", "drat", "wt", | |
"qsec", "gear", "carb"), | |
actualNames = c("Miles per US gallon","Displacement cu.in.", | |
"Gross horsepower", "Rear axle ratio", | |
"Weight 1000 lbs", "quarter mile time", | |
"Number of forward gears", | |
"Number of carburetors")) | |
mtcars <- transform(mtcars, cyl = factor(cyl), am = factor(am, | |
labels = c("automatic","manual"))) | |
boxplotByNumCyl <- mapply(knitr::knit_expand, | |
file = "boxplotTemplate.Rmd", | |
j = parameters$varNames, | |
k = parameters$actualNames) | |
``` | |
Here we plot the continuous data by the number of cylinders. | |
`r knitr::knit(text = unlist(boxplotByNumCyl))` |
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