Hi there,
Often times, I would run R in the terminal when the task is computationally
intensive and a nice-looking UI is less desired.
However, pasting a large chunk of code into the terminal often times ends
up being messed up. In Python, the same problem would happen, however,
iPython provides
> Sent from my phone. Please excuse my brevity.
>
> On October 29, 2015 8:16:17 AM MST, Victor Tian <tianx...@gmail.com>
> wrote:
> >Hi there,
> >
> >Often times, I would run R in the terminal when the task
mporary file
> that is 'sourced' in.
>
>
> Jim Holtman
> Data Munger Guru
>
> What is the problem that you are trying to solve?
> Tell me what you want to do, not how you want to do it.
>
> On Thu, Oct 29, 2015 at 2:13 PM, Victor Tian <tianx...@gmail.com> wrote:
>
>&
Hi Ravi,
Thanks for this interesting question. My thoughts are given below.
If you believe the rounding is indeed uniformly distributed, then the
problem is equivalent with adding a uniform random error between (-0.5,
0.5) for every observation in addition to the standard normal error, which
4 matches
Mail list logo