Download e-book for kindle: Report Writing for Data Science in R by Roger Peng

By Roger Peng

This ebook teaches the innovations and instruments at the back of reporting smooth information analyses in a reproducible demeanour. Reproducibility is the concept info analyses can be released or made on hand with their information and software program code in order that others may possibly ensure the findings and construct upon them. the necessity for reproducible document writing is expanding dramatically as information analyses turn into extra complicated, related to better datasets and extra subtle computations. Reproducibility allows humans to target the particular content material of an information research, instead of on superficial info suggested in a written precis. additionally, reproducibility makes an research extra priceless to others as the information and code that really carried out the research can be found. This ebook will concentrate on literate statistical research instruments which enable one to post info analyses in one rfile that enables others to simply execute an analogous research to procure an identical effects.

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What we’re going to do is we’re going to go through each of the variables in the data set and try to fit a generalize linear model, in this case a logistic regression, to see if we can predict if an email is spam or not by using just a single variable. Here, using the reformulate function to create a formula that includes the response, which is just the type of email and one of the variables of the data set, and we’re just going to cycle through all the variables in this data set Structure of a Data Analysis: Part 2 44 using this for-loop to build a logistic regression model, and then subsequently calculate the cross validated error rate of predicting spam emails from a single variable.

And a slightly more concrete version of this question that can be used to translate into a Cisco problem was, can I use quantitative characteristics of the emails to classify them as SPAM or HAM? 33 Structure of a Data Analysis: Part 2 34 Splitting the Dataset Our data set, again, was f=rom this UCI Machine Learning Repository, which had already been cleaned up, and it was available in the current lab package as a data set. This data set had 4,600 observations or emails that had been kind of characterized along 58 different variables.

The R Markdown to Markdown to HTML work flow can be easily managed using R Studio25 (but is not required). Lastly, R Markdown documents have the benefit that they are purely textual documents that can play well with version control systems that are primarily designed to track changes in text files. Markdown Syntax Markdown has a very simple syntax that we will briefly review here. * _so will this text_ This text will appear italicized! ** __as will this text__ This text will appear bold! as will this text Unordered Lists - first item in list - second item in list - third item in list • first item in list • second item in list • third item in list Ordered Lists 1.

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Report Writing for Data Science in R by Roger Peng


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