x <- rnorm( 20000, 5, 2.5 )
The requirement for "random" is ill-specified because it omits mention of which
random distribution you want (I assumed normal distribution above).
The requirement for "decimal places" is ill-defined because floating point
numbers are internally represented with mantissa and exponent ("scientific
notation"), so large numbers have fewer significant "decimal places" in the
fraction than small numbers do. For most purposes double precision IEEE754
numbers have more precision than you will need. What gets sticky is if you want
to LIMIT the number of decimals... you may need to use the sprintf function and
export the data as character values if that is important (which I doubt).
Note that the default behavior of the R console is to PRINT values with four
decimals, but the rest of the significant digits are really still there.
--
Sent from my phone. Please excuse my brevity.
On August 2, 2016 11:56:35 AM PDT, Adrian Johnson <oriolebaltim...@gmail.com>
wrote:
>Dear group,
>
>I am trying to generate a vector of random numbers for 20K observation.
>
>however, I want to generate numbers (with 6 decimal places) within the
>range of
>Std. Dev : 2-3
>mean : 4-6
>
>Is there a method to generate numbers with 6 decimal places under
>these parameters
>
>thank you.
>Adrian
>
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______________________________________________
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