cars
. You can use a different name..ignore
and select R
.Clone or download
.Copy to clipboard
icon to the right of the repository URL.File
, New Project
, Version Control
, Git
.Project directory name
field.Create Project
.File
, New File
, R Markdown
.File
, Save
to save the document.speed-and-distance
and click Save
.Git
tab in the upper right pane.Commit
.Review changes
view, check the staged box for all files.Add initial speed and distance report
.Commit
.Pull
button to fetch any remote changes.Push
button to push your changes to the remote repository.Terminal
tab in the lower left pane. The Terminal tab is next to the Console tab. Note: if you cannot find the Terminal tab, check if you use RStudio version 1.1.383 or higher. Click Help
, About RStudio
to check the current version.<BRANCH-NAME>
with a descriptive name, for example speed-and-distance-report
: docs
. To do this we add a function in the heading of the R Markdown document to ‘knit’ the output in the desired output directory.speed-and-distance.Rmd
and add the following lines in the heading under the title
field: File
, Save
to save the changes.Knit
in the document pane for speed-and-distance.Rmd
.git status
allows us to see the status of the files on our branch at any given time. Your file is listed under the heading Untracked files
: Changes to be committed
. This tells us that the file is in the staging area. It also indicates this is a new file: <COMMIT-MESSAGE>
with a log message describing the changes, for example Knit output to a docs folder
. A commit tells Git to collect all of the files in the staging area and store them to version control as a single unit of work: Merge Pull Request
button.<BRANCH-NAME>
.Source
, select master branch /docs folder
.Save
to save the changes.Commit
in the Git pane to open the Review Changes panel and then click History
.<BRANCH-NAME>
with a descriptive name, for example add-theme-and-navbar
: _site.yml
with the following contents: index.Rmd
. This is your welcome page.speed-and-distance.Rmd
and remove the knit
and output
fields from the heading. The heading will now look like this: Console
in the left bottom pane and render the site using the following command: rmarkdown
package. rmarkdown
comes installed with the RStudio IDE, but you can acquire your own copy of rmarkdown
from CRAN with the commandrmarkdown
package will call the knitr
package. knitr
will run each chunk of R code in the document and append the results of the code to the document next to the code chunk. This workflow saves time and facilitates reproducible reports.rmarkdown
package will use the pandoc
program to transform the file into a new format. For example, you can convert your .Rmd file into an HTML, PDF, or Microsoft Word file. You can even turn the file into an HTML5 or PDF slideshow. rmarkdown
will preserve the text, code results, and formatting contained in your original .Rmd file.rmarkdown::render()
. This is what the above document looks like when rendered as a HTML file.rmarkdown::render()
. You can use a button in the RStudio IDE to render your reprt. R Markdown is heavily integrated into the RStudio IDE.knitr
for embedded R code# Say Hello to markdown
. A single hashtag creates a first level header. Two hashtags, ##
, creates a second level header, and so on.*without realizing it*
. Surround bold text with two asterisks, like this **easy to use**
.[Github](www.github.com)
.rmarkdown
will duplicate your text in the new file format. rmarkdown
will use the formatting instructions that you provided with markdown syntax.knitr
package extends the basic markdown syntax to include chunks of executable R code.knitr
will run the code and add the results to the output file. You can have the output display just the code, just the results, or both.{r}
, which alerts knitr
that you have included a chunk of R code. The result will look like thisknitr
will run the code and append the results to the code chunk. knitr
will provide formatting and syntax highlighting to both the code and its results (where appropriate). Clear memory macbook air.eval = FALSE
inside the brackets and after r
. This will place a copy of your code into the report.echo = FALSE
. This will place a copy of the results into your report.echo = FALSE
is very handy for adding plots to a report, since you usually do not want to see the code that generates the plot.echo
and eval
are not the only arguments that you can use to customize code chunks. You can learn more about formatting the output of code chunks at the rmarkdown and knitr websites.r
, like this.knitr
will replace the inline code with its result in your final document (inline code is always replaced by its result). The result will appear as if it were part of the original text. For example, the snippet above will appear like this:rmarkdown
renders your .Rmd file. A YAML header is a section of key: value
pairs surrounded by ---
marks, like belowoutput:
value determines what type of output to convert the file into when you call rmarkdown::render()
. Note: you do not need to specify output:
if you render your file with the RStudio IDE knit button.output:
recognizes the following values:html_document
, which will create HTML output (default)pdf_document
, which will create PDF outputword_document
, which will create Word outputoutput:
setting.output:
value to render your document as a slideshow.output: ioslides_presentation
will create an ioslides (HTML5) slideshowoutput: beamer_presentation
will create a beamer (PDF) slideshowrmarkdown
will convert your document into a slideshow by starting a new slide at each header or horizontal rule (e.g., ***
).knitr
syntax.