STA1007S

University of Cape Town (UCT)

Here are the best resources to pass STA1007S. Find STA1007S study guides, notes, assignments, and much more.

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5. Introduction to R - Hypothesis Testing
  • 5. Introduction to R - Hypothesis Testing

  • Presentation • 50 pages • 2018
  • Available in package deal
  • This is the final session. By the end of this session you should be fairly comfortable with the program. This session focuses on hypothesis testing. You will cover the correlation function - c() a look at the additional types of t-tests R is capable of running - t.test() You will look at a different data file in the format "long" and this session covers more complicated subsetting of data You will learn to run two different types of chi-squared tests (goodness-of-fit and association tests) usi...
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4. Introduction to R - basic statistical analysis
  • 4. Introduction to R - basic statistical analysis

  • Presentation • 72 pages • 2018
  • Available in package deal
  • This session teaches you how to perform basic statistical analysis and a little bit of theory. The two main parts are 1) Standard deviations; how to with and without creating an object and then 2) Random samples and Type I errors; how to generate random data and how to manipulate it, what constitutes an error and so forth. Functions covered: sd() and how to use it as well as sqrt() multiplication operator (*) how to simulate sample data using runif() how to perform a t-test and the different kin...
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Various R commands
  • Various R commands

  • Flashcards • 41 items • 2018
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3. Introduction to R - Probability functions and Tables
  • 3. Introduction to R - Probability functions and Tables

  • Presentation • 65 pages • 2018
  • Available in package deal
  • Step by step walkthrough covering the use of the following functions rnorm() pnorm() rexp() pexp() pbinom() dbinom() ppois() table() tapply() sd() prop.table() Examples are provided along with questions and answers. link to sample data is provided in the presentation
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2. An introduction to using R
  • 2. An introduction to using R

  • Presentation • 113 pages • 2018
  • Available in package deal
  • A link to the sample data is provided in the presentation. This section covers indexing and sub-setting, the use of square brackets, calculating summary statistics; functions such as mean(), by the end of this you will be comfortable with creating objects. The apply() function is covered as well as R help files. And finally how to generate histograms in R
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1. An introduction to using R (RStudio)
  • 1. An introduction to using R (RStudio)

  • Presentation • 105 pages • 2018
  • Available in package deal
  • This is a pdf form of a powerpoint presentation but its very wide so it looks as though part is cut off but it isn't. Please note that a link to sample data is provided in the pdf This is an introduction to R; how to use it and so forth. It covers the basic functions and tasks such as importing data. Everything is broken down step by step This is part 1, so it really covers the basics but it's what I am using to teach R This is a pdf form of a powerpoint presentation I'm using so it is very bi...
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STA1007S - lecture notes and summaries from introstat
  • STA1007S - lecture notes and summaries from introstat

  • Class notes • 42 pages • 2018
  • Summary of all work from introstat (starting at chapter 6) and lecture content. Highlighted page numbers on the left on each page corresponds to the page in introstat Worked examples from the year before mine and my year as well as from introstat There are also notes relating to R but complete R notes will be uploaded at a later stage Note this is only the content that needed to be covered for the course
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