In the previous tutorials we’ve learned about the
R Markdown format and how to create a report using
R Markdown in
RStudio. In this tutorial, we will render or
R Markdown document to a web friendly,
html format using the
knitr can be used to convert
R Markdown files to many different formats including:
.md) and more.
At the end of this lesson, you will:
- Be able to produce (
htmlfile from an
- Know how to modify chuck options to change what is rendered and not rendered on the output
What You Need
You will need the most current version of
R and, preferably,
RStudio loaded on your computer to complete this tutorial. You will also need an
R Markdown document that contains a
YAML header, code chunks and markdown segments.
Install R Packages
What is Knitr?
knitr is the
R package that we use to convert an
R Markdown document into another, more user friendly format like
knitr package allows us to:
- Publish & share preliminary results with collaborators.
- Create professional reports that document our workflow and results directly from our code, reducing the risk of accidental copy and paste or transcription errors.
- Document our workflow to facilitate reproducibility.
- Efficiently change code outputs (figures, files) given changes in the data, methods, etc.
knitrpackage was designed to be a transparent engine for dynamic report generation with
R– Yihui Xi – knitr package creator
When To Knit: Knitting is a useful exercise throughout your scientific workflow. It allows you to see what your outputs look like and also to test that your code runs without errors. The time required to knit depends on the length and complexity of the script and the size of your data.
How to Knit
To knit in
RStudio, click the Knit pull down button. You want to use the Knit HTML option for this lesson.
When you click the Knit HTML button, a window will open in your console titled R Markdown. This pane shows the knitting progress. The output (
html in this case) file will automatically be saved in the current working directory. If there is an error in the code, an error message will appear with a line number in the R Console to help you diagnose the problem.
Data tip: You can run
knitr from the command prompt using:
View the Output
When knitting is complete, the
html file produced will automatically open.
Notice that information from the
YAML header (title, author, date) is printed at the top of the HTML document. Then the
html shows the text, code, and results of the code that you included in the
Add the code below to your
.Rmd document. Then
# load the ggplot2 library for plotting library(ggplot2) # download data from figshare # note that we are downloading the data into your working directory (earth-analytics) download.file(url = "https://ndownloader.figshare.com/files/7010681", destfile = "data/boulder-precip.csv") # import data boulder_precip <- read.csv(file="data/boulder-precip.csv") # view first few rows of the data head(boulder_precip) # when we download the data we create a dataframe # view each column of the data frame using it's name (or header) boulder_precip$DATE # view the precip column boulder_precip$PRECIP # q plot stands for quick plot. Let's use it to plot our data qplot(x=boulder_precip$DATE, y=boulder_precip$PRECIP)
.Rmd file to
Where is the File?
In the steps above, we downloaded a file. However, where did that file go on your computer? Let’s find it before we go any further.
# what is the working directory? getwd()  "/Users/lewa8222/Documents/earth-analytics" # set working dir as a variable my.dir <- getwd() # what files are in that working directory? list.files(my.dir, recursive= TRUE)
boulder-precip.csv file there?