Statistical computing: descriptive statistics with R

Buerki, Andreas ORCID: https://orcid.org/0000-0003-2151-3246 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 (Lecture)
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Status:	Unpublished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:	https://cardiff.cloud.panopto.eu/Panopto...
Last Modified:	02 Nov 2022 11:10
URI:	https://orca.cardiff.ac.uk/id/eprint/101081

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