Description Usage Arguments Value Note References Examples
Prints an R object in Pandoc's markdown.
1 |
x |
an R object |
... |
optional parameters passed to special methods and/or raw |
By default this function outputs (see: cat) the result. If you would want to catch the result instead, then call the function ending in .return.
This function can be called by pander and pandoc too.
John MacFarlane (2013): _Pandoc User's Guide_. http://johnmacfarlane.net/pandoc/README.html
David Hajage (2011): _ascii. Export R objects to several markup languages._ http://CRAN.R-project.org/package=ascii
Hlavac, Marek (2013): _stargazer: LaTeX code for well-formatted regression and summary statistics tables._ http://CRAN.R-project.org/package=stargazer
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 | ## Vectors
pander(1:10)
pander(letters)
pander(mtcars$am)
pander(factor(mtcars$am))
## Lists
pander(list(1, 2, 3, c(1, 2)))
pander(list(a = 1, b = 2, c = table(mtcars$am)))
pander(list(1, 2, 3, list(1, 2)))
pander(list(a = 1, 2, 3, list(1, 2)))
pander(list('FOO', letters[1:3], list(1:5), table(mtcars$gear), list('FOOBAR', list('a', 'b'))))
pander(list(a = 1, b = 2, c = table(mtcars$am), x = list(myname = 1, 2), 56))
pander(unclass(chisq.test(table(mtcars$am, mtcars$gear))))
## Arrays
pander(mtcars)
pander(table(mtcars$am))
pander(table(mtcars$am, mtcars$gear))
## Tests
pander(ks.test(runif(50), runif(50)))
pander(chisq.test(table(mtcars$am, mtcars$gear)))
pander(t.test(extra ~ group, data = sleep))
## Models
ml <- with(lm(mpg ~ hp + wt), data = mtcars)
pander(ml)
pander(anova(ml))
pander(aov(ml))
## Dobson (1990) Page 93: Randomized Controlled Trial (examples from: ?glm)
counts <- c(18, 17, 15, 20, 10, 20, 25, 13, 12)
outcome <- gl(3, 1, 9)
treatment <- gl(3, 3)
m <- glm(counts ~ outcome + treatment, family = poisson())
pander(m)
pander(anova(m))
pander(aov(m))
## overwriting labels
pander(lm(Sepal.Width ~ Species, data = iris), covariate.labels = c('Versicolor', 'Virginica'))
## Prcomp
pander(prcomp(USArrests))
## Others
pander(density(runif(10)))
pander(density(mtcars$hp))
## default method
x <- chisq.test(table(mtcars$am, mtcars$gear))
class(x) <- 'I heave never heard of!'
pander(x)
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