knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.path = "man/figures/README-", out.width = "100%" )
rmddm provides Rmarkdown templates for use in data mining, specifically those projects following the CRISP-DM process. The package is based on the rticles package.
Installing rmddm from github with:
# install.packages("remotes") remotes::install_github("wkdavis/rmddm")
Creating an RMarkdown template with the CRISP-DM structure.
Using rmddm:
library(rmddm) crispdm_report("MyReport.Rmd") crispdm_report("MiInforme.Rmd", language = "es")
Using rmarkdown directly:
library(rmarkdown) draft("MyReport.Rmd", template = "crispdm_report", package = "rmddm", edit=FALSE) draft("MiInforme.Rmd", template = "crispdm_report_es", package = "rmddm", edit=FALSE)
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