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.
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
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))