knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.align = "center", fig.path = "man/figures/README-" )
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))
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