TEX.sde {Sim.DiffProc} | R Documentation |
These methods produces the related LaTeX table and mathematic expression for Sim.DiffProc environment.
TEX.sde(object, ...) ## Default S3 method: TEX.sde(object, ...)
object |
an objects from class |
... |
arguments to be passed to |
New tools for constructing tables and mathematical expressions with Sim.DiffProc
package.
An overview of this package, see browseVignettes('Sim.DiffProc')
for more informations.
A.C. Guidoum
Xie Y (2015). Dynamic Documents with R and knitr. 2nd edition. Chapman and Hall/CRC, Boca Raton, Florida. ISBN 978-1498716963, URL https://yihui.name/knitr/.
Wickham H (2015). Advanced R. Chapman & Hall/CRC The R Series. CRC Press. ISBN 9781498759809.
kable
create tables in LaTeX, HTML, Markdown and reStructuredText.
toLatex
converting R Objects to BibTeX or LaTeX.
## LaTeX mathematic for an R expression of SDEs ## Copy and paste the following output in your LaTeX file # Example 1 f <- expression(-mu1 * x) g <- expression(mu2 * sqrt(x)) TEX.sde(object = c(drift = f, diffusion = g)) # Example 2 f <- expression(mu1*cos(mu2+z),mu1*sin(mu2+z),0) g <- expression(sigma,sigma,alpha) TEX.sde(object = c(drift = f, diffusion = g)) ## LaTeX mathematic for object of class 'MEM.sde' ## Copy and paste the following output in your LaTeX file # Example 3 mem.mod3d <- MEM.sde(drift = f, diffusion = g) TEX.sde(object = mem.mod3d) ## LaTeX table for object of class 'MCM.sde' ## Copy and paste the following output in your LaTeX file # Example 4 ## Not run: mu1=0.25; mu2=3; sigma=0.05; alpha=0.03 mod3d <- snssde3d(drift=f,diffusion=g,x0=c(x=0,y=0,z=0),M=100,T=10) stat.fun3d <- function(data, i){ d <- data[i,] return(c(mean(d$x),mean(d$y),mean(d$z), var(d$x),var(d$y),var(d$z))) } mcm.mod3d = MCM.sde(mod3d,statistic=stat.fun3d,R=10,parallel="snow",ncpus=parallel::detectCores(), names=c("m1","m2","m3","S1","S2","S3")) TEX.sde(object = mcm.mod3d, booktabs = TRUE, align = "r", caption ="\LaTeX~ table for Monte Carlo results generated by \code{TEX.sde()} method.") ## End(Not run)