pander | R Documentation |
Prints an R object in Pandoc's markdown.
pander(x = NULL, ...)
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_. https://johnmacfarlane.net/pandoc/README.html
David Hajage (2011): _ascii. Export R objects to several markup languages._ https://cran.r-project.org/package=ascii
Hlavac, Marek (2013): _stargazer: LaTeX code for well-formatted regression and summary statistics tables._ https://cran.r-project.org/package=stargazer
## 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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