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This package is intended for data scientists, statisticians, and allied scientists who use rmarkdown to conduct reproducible research but require flexibility in document formatting. It is based on a pre-existing latex template that we have updated for use in RStudio or equivalent environments. A notable inclusion is a feature allowing the user to save develop a common configuration file, which can be shared among the team within a working environment.
install.packages("memor")
# For dev version
devtools::install_github("hebrewseniorlife/memor")
Here are the list of options that is available in memor
.
As with the default rmarkdown
template, not all need be
specified. At the same time, it can also take all the other options from
rmarkdown::pdf_document
, such as keep_tex
,
includes
, etc.
toc - Table of Contents
lot - List of Tables
lof - List of Figures
output:
memor::pdf_memo:
use_profile: false
logo: "logo.png"
company:
name: Your company's name
address: Your address
phone: 888.888.8888
email: your_email@email.com
short_title: short title
watermark: (optional) watermark
confidential: false
libertine: false
chinese: false
logo_height: 1.2cm
watermark_color: gray
footer_on_first_page: true
toc: false
lot: false
lof: false
number_sections: true
latex_engine: xelatex
In the interest of reducing the length of ‘yaml’ headers and allowing for standardization within teams, we have developed a mechanism that allows one to save one’s configuration or “profile” in an isolated file, which can be reused for other reports and shared with colleagues. During the process of rendering, information saved in the profile file will be automatically pulled and used to generate the final document (but information defined in local environment will be used with priority).
To better facilitate this process, we created a RStudio Addin to help
you quickly locate the file. This addin does nothing but to open up the
~/memor-profile.yaml
file in your home directory (if this
file doesn’t exist, it will create one). Note that if you have a profile
but you don’t want to use the profile for certain document, you can
disable this behavior by setting the use_profile
option to
false.
Furthermore, you can customize the location of the
profile file by using the memor_profile
option, which can
be specified in a .Rprofile
. This might be useful on a
RStudio Server, where system admin can specify a R profile for everyone.
In this way, the entire group will share the same file by default.
This package was funded in part by a development project from the Biostatistical Design and Analysis Core of the Boston Pepper Center (AG031679-07). We appreciate additional support from the Hebrew SeniorLife Institute for Aging Research.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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