rjdmarkdown gives a set of functions to print nicely your models created by RJDemetra.
rjdmarkdown relies on RJDemetra that requires Java SE 8 or later version.
# Install release version from CRAN
install.packages("rjdmarkdown")
# Install development version from GitHub
# install.packages("devtools")
devtools::install_github("AQLT/rjdmarkdown")
The functions developped are:
print_preprocessing()
for the pre-processing model;print_decomposition()
for the decomposition;print_diagnostics()
to print diagnostics tests on the quality of the seasonal adjustment.
The available outputs are
LaTeX
(format = "latex"
, the package booktabs and float must be used) and
HTML
outputs (format = "html"
).
The option results='asis'
must be used in the chunk:
library(RJDemetra)
library(rjdmarkdown)
mysa <- x13(ipi_c_eu[, "FR"])
print_preprocessing(mysa, format = "latex")
print_decomposition(mysa, format = "latex")
print_diagnostics(mysa, format = "latex")
A R Markdown can also directly be created and render with the
create_rmd
function. It can take as argument a SA
, jSA
, sa_item
,
multiprocessing
(all the models of the multiprocessing
are printed)
or workspace object (all the models of all the multiprocessing
of the
workspace
are printed). For example:
sa_ts <- tramoseats(ipi_c_eu[, "FR"])
wk <- new_workspace()
new_multiprocessing(wk, "sa1")
add_sa_item(wk, "sa1", mysa, "X13")
add_sa_item(wk, "sa1", sa_ts, "TramoSeats")
# It's important to compute the workspace to be able to import the models
compute(wk)
output_file <- tempfile(fileext = ".Rmd")
create_rmd(wk, output_file,
output_format = c("pdf_document", "html_document"),
output_options = list(toc = TRUE,
number_sections = TRUE))
# To open the file:
browseURL(sub(".Rmd",".pdf", output_file, fixed = TRUE))
browseURL(sub(".Rmd",".html", output_file, fixed = TRUE))