The advantage of using R markdown (versus a script) is that you can combine computation with explanation. With R markdown, it is easy to reproduce not only the analysis used, but also the entire report. It is one of the main principles of the scientific method and relies on ceteris paribus.” In case you were wondering, ceteris paribus means “all other things being equal or held constant”. Reproducibility is the name of the game, which is defined by Wikipedia as “the ability of an entire experiment or study to be reproduced, either by the researcher or by someone else working independently. In this chapter, we’ll introduce you to R markdown, an easy-to-write plain text formatter designed to make web content and reports easy to create. Your own agency also wishes to publish this report on its website, and is requesting an HTML file that is easily accessible to web-users. It must be polished and submitted as a pdf report. This report will summarize the number of animals harvested by town, age, sex, harvest method, and hunter residency, and is submitted to the U.S. Now that your harvest dataset is cleaned and merged with hunter information, and you have a few plotting, summary, and statistical analysis functions up your sleeve, you’re ready to begin your Tauntaun annual report. * rcrossref - for creating and rendering a bibliography * knitr - for knitting the Rmarkdown document 14.3.8 Inserting plots into your slideshow.14.3.7 Specifying absolute location on the slide for text or images.14.3.6 Bootstrap widget for cycling images on a slide.14.3.4 Adding a slide background color or image.14.3.1 A quick overview of HTML syntax, and where to store your customizations.13.8.5 Adding Towns from Shapefile Attributed Table.13.8.3 Adding New Columns To A Data Frame.13.8 Creating the Tauntaun Harvest Data CSV File.12.5.5 Documenting the TTestimators-package.12.5.4 Documenting the TauntaunHarvest Dataset.12.1 Load Required Packages and Programs.10.7 Controlling the Output and Metadata.10.5.4 Paragraph 4: Analysis of Age and Sex.10.5.2 Paragraph 2: Tauntaun Data Summary.10.4 Weaving Markdown with R (Section 3).10.3.9 Creating a Bibliography with Endnote.10.3.6 Paragraph 4: Analysis of Harvested Animals by Tauntaun Age and Sex.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.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |