Videos
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codeRtime,2021, R Beginner Monte Carlo Simulation
   (t11:53), https://www.youtube.com/watch?v=inJsu-ygBfM

Pani, Biswajit,2025, MONTE CARLO SIMULATION EXAMPLES IN R (BASIC EXAMPLES)
    (t15:18), https://www.youtube.com/watch?v=nN81KoZB4Gg

You've been using the Wrong Random Numbers! - Monte Carlo Simulations
   https://www.youtube.com/watch?v=DbFJdjpTPok
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Links
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  Boyle, P., Phelim, 1977, Options: A Monte Carlo Approach, JFE 4,323-338, 
      http://canisius.edu/~yany/boyle.shtml.

  Kurtverstegen,D.,2013,Simulation: simulating uncorrelated & correlated random variables, 
      https://kurtverstegen.wordpress.com/2013/12/07/simulation/

  Hertz D. B.,1964,Risk Analysis in Capital Investment, Harvard Business Re view 46(1),95-106.

  Joe, Stephen and Frances Kuo,2005, Sobol sequence generator      http://web.maths.unsw.edu.au/~fkuo/sobol/index.html

  Miller, Craig S., 2003, Normal Quantile Plots in Excel     http://facweb.cs.depaul.edu/cmiller/it223/normQuant.html

  Xiong, Changwei, 2015
     http://www.cs.utah.edu/~cxiong/

  Wolfram, Mathworld, Random numbers, 
     http://mathworld.wolfram.com/topics/RandomNumbers.html

  Even Simpler Multivariate Correlated Simulations, 2010
    https://cerebralmastication.com/2010/08/even-simpler-multivariate-correlated-simulations/

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Links 
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  help(read.csv)
  help(read.table)
  help(read.delim)

  library(haven)
  help(package=haven)
  
  library(tibble)
  help(package=tibble)

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Read from a clipboard 
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Method I: using read.table('clipboard')
---------------------------------------
   Step 1: high light a data set and copy
        [could from Excel, Notepad, Microsoft Word]
2 3 4
1 5 6

  Step 2 Issue the following line
         x<-read.table('clipboard')
         x
  V1 V2 V3
1  2  3  4
2  1  5  6

Method II: using readClipboard() function
----------------------------------------
Step 1: same as before

Step 2: issue the following command
        x<-readClipboard()
        x
       [1] "2 3 4" "1 5 6"
 
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