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Statistical computing: descriptive statistics with R

Buerki, Andreas 2017. Statistical computing: descriptive statistics with R. Presented at: CLCR Software Training Workshops, Cardiff University, Cardiff, UK, 29 March 2017.

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Abstract

Descriptive statistics aim to describe a data set, typically a sample of a larger population of interest, by summarising and visualising selected trends and features. Deriving descriptive statistics can be the goal of an analysis or, more often, a vital step in understanding the structure of data before the application of inferential statistics. The clear and accurate presentation of descriptive statistics is also of key importance in write-ups of research that features quantitative aspects. This workshop focuses on using R to produce descriptive statistics from data sets, including high-quality plots and graphs that are of the right quality for submission to journals. The advantage of using R is that once the basics are mastered, it is very quick and easy to produce an array of high quality measures and graphs. R is today the tool of choice for quantitative linguists due to its power, flexibility and expandability. In this workshop we are going to use R through an interface called R Studio which facilitates an enhanced user experience.

Item Type: Conference or Workshop Item (Other)
Date Type: Completion
Status: Unpublished
Schools: English, Communication and Philosophy
Subjects: P Language and Literature > P Philology. Linguistics
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Related URLs:
Last Modified: 09 Jun 2017 13:03
URI: http://orca.cf.ac.uk/id/eprint/101081

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