use .nLetterFunction() to show all n-letter functions
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  To see how to use this function, just type its name

  >.nLetterFunctions

  To find out all embedded functions with just 3-letter long

  > .nLetterFunctions(3)
 [1] "$<-" "%*%" "%/%" "%o%" "%x%" ".gt" ":::" "@<-" "[<-" "<<-" "abs" "acf"
[13] "AIC" "all" "any" "aov" "Arg" "ave" "BIC" "bmp" "BOD" "box" "bxp" "cat"
[25] "ccf" "co2" "CO2" "col" "cor" "cos" "cov" "cut" "det" "dim" "dir" "end"
[37] "exp" "fft" "fix" "for" "get" "glm" "hat" "hcl" "hsv" "IQR" "lag" "lcm"
[49] "log" "mad" "Map" "max" "min" "Mod" "new" "nlm" "nls" "npk" "Ops" "par"
[61] "pdf" "pie" "png" "ppr" "raw" "rep" "rev" "rgb" "rle" "row" "rug" "seq"
[73] "sin" "SSD" "stl" "str" "sub" "sum" "svd" "svg" "tan" "tar" "try" "tsp"
[85] "unz" "url" "var" "x11" "X11" "xor" "zip"

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Using help() function 
////////////////////////////////
 For example, we want to know more about the mean() function 

 > help(mean)


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Videos
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YouTube: how to download and install R (6m39s) [for windows)
    https://www.youtube.com/watch?v=ZoPJGmpYJzw

YouTube: Programming in R - Getting Started - Installing R and RStudio on a Mac (5m59s)
    https://www.youtube.com/watch?v=Ywj6yNfc5nM

Why couldn't I launch RStudio?
-------------------------------------
  For Mac users 
      https://www.youtube.com/watch?v=20XiBheVsck
  For Windows users (control + RStudio)
      https://www.youtube.com/watch?v=t7DStkaOULs   

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Output 
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In the context of R programming, the output generated during data analysis and statistical 
    modeling plays a pivotal role in conveying insights and results to users. R produces a 
    diverse array of output formats, ranging from simple console prints to sophisticated 
    graphical visualizations and comprehensive statistical summaries. 

The versatility of R output allows users to communicate findings effectively, whether through
    descriptive statistics, regression analyses, or data visualizations created with packages 
    like ggplot2. Moreover, R facilitates the integration of results into reports and presentations
    by enabling the export of output in various formats such as PDF, HTML, or image files. 

Understanding how to interpret and effectively utilize R output is essential for researchers,
    analysts, and data scientists, as it empowers them to articulate and share the outcomes
    of their analyses in a clear and compelling manner.
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