![]() If you are a Mac user, you may be perplexed as to where to begin recording a PowerPoint presentation with Audio and Video in Mac. To upload a video to YouTube or any other social media platform, you must first convert your presentation into a video. This allows them to reach more people and provide them with more ideas in a shorter period. Nowadays, Tech YouTubers upload their presentations to YouTube to share their content with their audience. Afterward, you need to upload the session recording to assist the students with revision purposes, or you might want to distribute your presentation to your office team members all over the world. I will not cover this so you should check them out on your own.There could be multiple reasons you need to record yourself and your presentation, including when taking a live class. There are a lot of guides on how to use Markdown syntax. You can see how the document has formatted text based on the Markdown syntax. Once it is done rendering you will see a new window pop up. ![]() Go ahead and render the R Markdown document by clicking on the Knit button at the top of the window. When this document is rendered, the word Knit will be bold. Also notice in the second paragraph, the word Knit is surrounded by two asterisks on each side. One # is a level one header, two # is a level two header and so on. The pound signs # at the beginning of a line are used to format headers. In the R Markdown document you have open you can see some Markdown syntax. When a Markdown document is rendered into some output (such as html or PDF), the text will be formatted as specified by the Markdown syntax. Markdown is a convenient and flexible way to format text. The text is formatted using a language known as Markdown, hence the name R Markdown. You can write up descriptive reports, create bulletted or numbered lists, embed images or web links, create tables, and more. The formatted text sections are more than just adding comments to lines of code. Fortunately, RStudio has an output document format called R Markdown. One downfall about R is that unlike SPSS, there is not a native way to create output documents from statistical analyses. However, there is the option to export a. spv files are propriety format so can only be opened if you have SPSS installed. In programs like SPSS when you run a statistical analysis, it will be outputted to a viewable. Therefore, we should first go over the general process of conducting and outputting statistical analyses in R. Writing scripts to do statistical analyses is an entirely different process than writing scripts for data preparation. ![]() The rest of the guide will cover how to do these steps in R. Traditionally you have likely done these analyses in SPSS or EQS and have created figures in Excel or PowerPoint. ![]() This is the third and final step in the data workflow process depicted above. Now for the fun part, statistical analyses and data visualization! Up until now you have been learning how to do data preparation steps in R. 7.8 Remove subjects with too many missing values.7.2 Centering and Standardizing Variables.6.6.1 Changing values in an existing column.5.5 Import and Merge Multiple Data Files.2.3.1 Installing and Loading R Packages. ![]()
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