See Vignette writing guide here
The code can be included inline bracketed with three back-ticks. See example below which imports the relevant bit of funnel-test.R
Vignettes are long form documentation commonly included in packages. Because they are part of the distribution of the package, they need to be as compact as possible. The html_vignette
output type provides a custom style sheet (and tweaks some options) to ensure that the resulting html is as small as possible. The html_vignette
format:
Note the various macros within the vignette
section of the metadata block above. These are required in order to instruct R how to build the vignette. Note that you should change the title
field and the \VignetteIndexEntry
to match the title of your vignette.
The html_vignette
template includes a basic CSS theme. To override this theme you can specify your own CSS in the document metadata as follows:
output: rmarkdown::html_vignette: css: mystyles.css
The figure sizes have been customised so that you can easily put two images side-by-side.
plot(1:10) plot(10:1)
You can enable figure captions by fig_caption: yes
in YAML:
output: rmarkdown::html_vignette: fig_caption: yes
Then you can use the chunk option fig.cap = "Your figure caption."
in knitr.
#################################################### # March 2016. Test new funnel program # # This code may not work as I don't have access to lung.csv (Mike) # #################################################### # Lung data devtools::install_github('gmp26/funnel') library(funnel) ### # NB from Mike. It's probably better to put the lung.csv file in the data # directory in this package rather than use a private dropbox. ### # # Using CABG data since I can't access lung-data # load("../data/cabg.rda") # if necessary to access cabg data x <- cabg # cabg was created by reading CABG-hospitals-03.csv into # cabg variable and then saving it with `devtools::use_data(cabg)` # x<-read.csv(file="~//Dropbox//DB-funnels-HSMR//funnels//lung.csv",header=T,sep=",") N<- x$Cases R<- N-x$deaths xlabel<-"Number of operations per hospital" scale<-0.8 xrange<-c(0,max(N)) xrange=c(0,600) # ylabel<-"Mortality rate (%)" #yrange<-c(0,max( R/N )) ylabel<-"Survival rate (%)" yrange<-c(0.94, 1) #yrange=c(0,1) names= as.character(x$X) title<-"LCCOP data" tails=c(0.001, 0.025) funnel4(obs.prop=R/N, denom=N, pred.prop=P/N, names=names, plot="slice", rank="precision", riskadj=F, RASRplot=F, plot.target=F, title=title,xrange=xrange, yrange=yrange, tails=tails,xlab=xlabel,ylab=ylabel,ypercent=T, bandcols=c("white","lightcyan","cyan") ) # Above code fails with: # Error in par(mar = c(3.5, trunc(max(nchar(labs[, 1]))/2) + 3, 1, 2)) : # invalid value specified for graphical parameter "mar" # In addition: Warning message: # In max(nchar(labs[, 1])) : no non-missing arguments to max; returning -Inf # > c(3.5, trunc(max(nchar(labs[, 1]))/2) + 3, 1, 2) # [1] 3.5 7.0 1.0 2.0 # I don't know why this value is invalid.
You can write math expressions, e.g. $Y = X\beta + \epsilon$, footnotes^[A footnote here.], and tables, e.g. using knitr::kable()
.
knitr::kable(head(mtcars, 10))
Also a quote using >
:
"He who gives up [code] safety for [code] speed deserves neither." (via)
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