10.3.5 Paragraph 3: Hunter Demographics.10.3 Tauntaun Annual Report Outline and R Objects Needed (Section 2).10.1 HTML Markup vs. Markdown vs. R Markdown.7.8 Summarizing the Harvest with Aggregate.6.10 Read in the Hunter CSV file, and Save as hunter_clean.RData.6.9 Save the Cleaned Data as harvest_clean.RData.6.8 Stepping through Rows and Columns with Apply Functions.6.7.1 color = fur color of the reptomammalian Tauntaun.6.7 A Brief Interruption to Discuss NA and NULL.6.6.9 weight = weight of harvested animal (arbitrary units).6.6.8 length = length of harvested animal.6.6.7 town = town in which the animal was harvested.6.6.4 individual = the unique identifier of each harvested animal.6.6.3 sex = the sex of the harvested animal.6.6.2 age = the age of the harvested animal.6.6.1 hunter.id = the unique hunter identification number.3.4.7 Function Names from Different Packages.2.3 The Files, Plots, Package, Help Pane.Note that in the last code chunk with the chunk option attr.output, the option will not be overridden by max.height because we respect existing attributes by combining them with the style attribute generated by max. title: Scrollable code blocks output: html_document: highlight: tango - We set up an `output` hook to add a `style` attribute to the text output when the chunk option `max.height` is set. 17.7 Organize an R Markdown project into a research website with workflowr.17.6 Collaborate on Rmd documents through Google Drive with trackdown.17.3 Render R Markdown with rmarkdown::render().16.9 Write books and long-form reports with bookdown.16.8 R Markdown templates in R packages.16.6 The working directory for R code chunks.16.3 Read multiple code chunks from an external script (*).16.2 Read external scripts into a chunk.15.9.1 Generate data in R and read it in Asymptote.15.6.3 Write YAML data to a file and also display it.15.6.2 Include LaTeX code in the preamble.15.6 Write the chunk content to a file via the cat engine.15.3 Execute content conditionally via the asis engine.15.2 Run Python code and interact with Python.15.1 Register a custom language engine (*).14.9.3 Keep multiple copies of the cache.14.9.2 Invalidate the cache by changes in global variables.14.9.1 Invalidate the cache by changing code in the expression.14.9 A more transparent caching mechanism.14.8 Allow duplicate labels in code chunks (*).14.7 Use knitr::knit_expand() to generate Rmd source.14.6 Save a group of chunk options and reuse them (*).14.5 Modify a plot in a previous code chunk.14.4 Generate a plot and display it elsewhere.14.2 Use an object before it is created (*).14.1.2 Use the same chunk label in another chunk.14.1.1 Embed one chunk in another chunk (*).13.5 Embed an interactive 3D plot with rgl.
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