![]() ![]() ![]() Ylab("% Receiving Subprime Loans (FL)") + # % subprime Borrowers in California (2005-2010)ĬhartA <- ggplot(Subprime_FL, aes(x = `Year-Quarter`, y = Percent, color=`Percent`)) + Ylab("% Receiving Subprime Loans (CA)") + # % subprime Borrowers in Florida (2005-2010)ĬhartA <- ggplot(Subprime_CA, aes(x = `Year-Quarter`, y = Percent, color=`Percent`)) + Theme( = element_text(angle = 90, vjust = 0.5, hjust=1 ,size = 8), =element_text(size=5)) + Ylab("% Receiving Subprime Loans (MA)") + ```ĬhartA <- ggplot(Subprime_MA, aes(x = `Year-Quarter`, y = Percent, color=`Percent`)) + By implementing storyboarding within the syntax, you can create dynamic storyboards within HTML. In my case, it’s an HTML fileįinally, a storyboard is a great storytelling tool that can be created by R Markdown. When pressed, the Knitr package creates either a PDF, Rich document or HTML, based on your settings. The Knit button is located in the top left hand corner of the R toolbox. In this example, we take R Markdown syntax with R code for the MotorTrends car library to demonstrate how this works: Once clicked a document will be generated that includes both content and output of any embedded R code chunks within the document. When you create a markdown document with extension *.rmd, you are given a button called Knit. R Markdown is a simple formatting syntax for authoring HTML, PDF, and MS Word documents using already existing R code (for more information go to ). One of my favorites tools to use is R Markdown, storyboards and Knitr. With the plethora of tools available to create effective story telling (Tableau, PowerBI, Data Driven Documents (D3), etc.) there are a few others that don’t get mentioned. The ability to bring massive amounts of data and simplify it to an audience creatively and with meaning in purpose is a skill that is critical to data science. You can use percentages, e.g., out.Storytelling with data is a critical aspect of data visualization. Out.width and out.height: The output size of R plots in the output document. You can also specify the two options together in a single chunk option fig.dim, e.g., fig.dim = c(6, 4) means fig.width = 6 and fig.height = 4. R plots in code chunks are first recorded via a graphical device in knitr, and then written out to files. Caching can be handy but also tricky sometimes.įig.width and fig.height: The (graphical device) size of R plots in inches. However, I want to honestly remind you of the two hard problems in computer science (via Phil Karlton): naming things, and cache invalidation. If caching is enabled, the same code chunk will not be evaluated the next time the document is compiled (if the code chunk was not modified), which can save you time. ![]() When you are trying to set echo = FALSE, results = 'hide', warning = FALSE, and message = FALSE, chances are you simply mean a single option include = FALSE instead of suppressing different types of text output individually.Ĭache: Whether to enable caching. When include = FALSE, this whole code chunk is excluded in the output, but note that it will still be evaluated if eval = TRUE. Include: Whether to include anything from a code chunk in the output document. Similarly, when warning = FALSE or message = FALSE, these messages will be shown in the R console. Note that if you set error = FALSE, rmarkdown::render() will halt on error in a code chunk, and the error will be displayed in the R console. Warning, message, and error: Whether to show warnings, messages, and errors in the output document. The default collapse = FALSE means R expressions and their text output are separated into different blocks. This is mostly cosmetic: collapse = TRUE makes the output more compact, since the R source code and its text output are displayed in a single output block. By default, text output will be wrapped in verbatim elements (typically plain code blocks).Ĭollapse: Whether to merge text output and source code into a single code block in the output. Results: When set to 'hide', text output will be hidden when set to 'asis', text output is written “as-is,” e.g., you can write out raw Markdown text from R code (like cat('**Markdown** is cool.\n')). We list a subset of them below:Įcho: Whether to echo the source code in the output document (someone may not prefer reading your smart source code but only results). There are a large number of chunk options in knitr documented at. 19.7 Output arguments for render functions.16.5.4 Create a widget without an R package.2.1.4 2017 Employer Health Benefits Survey. ![]()
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