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      <title>Introduction to R</title>
      <link>https://www.codepaws.com/courses/data_science/introduction_to_r/</link>
      <pubDate>Sat, 30 Jun 2018 00:00:00 +0000</pubDate>
      
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      <description>R Basics Assignment x &amp;lt;- 1 Printing to screen print(x) # or just x Creation of an integer sequence Vector of values 1 to 20
x &amp;lt;- 1:20 Objects / Data Types R has five basic atomic objects
 Character Number  NaN - Not a number Inf - Infinity  Integer  Integers need to be specifically created as R will by default create a number. This can be done by using the suffix L.</description>
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      <title>Data Science Introduction</title>
      <link>https://www.codepaws.com/courses/data_science/data_science_introduction/</link>
      <pubDate>Fri, 29 Jun 2018 00:00:00 +0000</pubDate>
      
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      <description>Types of Data Science Questions  Descriptive  Describe a set of data Commonly applied to Census data (example describing the population). Its not trying to infer anything  Exploratory  Find relationships you don&amp;rsquo;t know about Exploratory analysis alone should not be used for generalising / predicting Correlation does not imply causation  Inferential  Use a relatively small sample of data to say something about a bigger problem Estimation of both the quality and uncertainty around your estimate  Predictive  To use the data on some object to predict values for another object If X predicts Y it does not mean that X causes Y More data and simple models tend to work well Prediction is hard - especially when it involves the future  Causal  To find out what happens to one variable when you make another variable change Generally done through randomised studies Generally an average effect  Mechanistic  Using the exact changes in variables that leads to changes in other variables for individual objects Incredibly hard to infer   What is Data  &amp;ldquo;Data are values of qualitative or quantitative variables, belonging to a set of items&amp;rdquo;</description>
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      <title>Rstudio Setup</title>
      <link>https://www.codepaws.com/courses/data_science/installation/</link>
      <pubDate>Fri, 29 Jun 2018 00:00:00 +0000</pubDate>
      
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      <description>Process of setting up Rstudio on a new machine
 Install the R interpretor from The Comprehensive R Archive Network (CRAN).  Select a mirror close to you. Download the correct binary for your OS. When running through the installer, if unsure just use the defaults.  Install the RStudio IDE Launch the IDE - you maybe asked to supply the path to R. Install the devtools. The RStudio up to date instructions are here.</description>
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