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Today’s Beginner Workshop
R Overview Learn Data Types Enter Data Write Basic Code Analyze Data Create Charts Install Packages
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R Overview Statistics and Data Analysis User Interfaces Packages
Comparison to SAS, SPSS User Interfaces RStudio Microsoft Packages Growth Who is Creating These Packages?
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Top 20 Skills of a Data Scientist
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R was created in 1996 by Ross Ihaka and Robert Gentleman
of the Statistics Department at The University of Auckland in New Zealand
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As of 2010, still active in R Development
As of 2010, still active in R Development
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Notable Pre-Loaded R Packages
Descriptions base Core functions for data management, basic descriptive statistics stats Hundreds of statistical functions including correlation, regression, anova, cluster analysis, normal distribution graphics Contains many basic plots including barplot, boxplot, histograms, line, pie, and many more. graphics demos demo(graphics, package = "graphics")
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R was initially developed as FREE, OPEN SOURCE, STATISTICAL SOFTWARE
versus alternative Commercial Products Acquired by IBM in 2009 Business vs. Academia
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Many R Packages have been created that are equivalent
to the base functionality of SAS and SPSS Source: Robert Muenchen
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R has Grown Far Beyond its Data, Analytics, and Graphics Beginnings
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Package Categories COMMON FUNCTIONS SPECIALIZED TASK VIEWS
Data Input / Output Data Management Mathematics and Statistics Graphics SPECIALIZED TASK VIEWS Web High Performance Computing Subject Matter Specific
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Who is creating these packages?
R is the work of dozens upon dozens of people; primarily University Professors and PhD Students; though also individuals on their spare time; and more recently companies. They have written many packages to make it easier for everyone to analyze data.
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Most From Universities
Many University Researchers receive FEDERAL and other grants to work on projects. For some projects, part of that money goes to create R libraries. $$$
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$300K
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User Interfaces Basic R User Interface RStudio Microsoft
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The Original and Current Basic R “Console” command line interface….
Write Code/ Program Input Data Analyze Graphics R User Interface
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2008- 1996- RStudio leverages the BaseR Software.
This is why both installations are needed! RStudio has a better User-Interface . 2008- + Software Comparison 1996-
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Console Scripting/Coding Current Datasets Write Code/ Program
Input Data Analyze Graphics Console Enter Single Commands See Output
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Microsoft and Revolution Analytics
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Which IDE?
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