# [R] how do i retain decimal values

Manisha Brahmachary mb3058 at c2b2.columbia.edu
Mon Aug 3 18:05:10 CEST 2009

```Thanks Peter, the options(digits=) works. The matrix I send as example is the
x values in the correlation I will do. The Y values are different and are not
tied.

Thanks again.

manisha

-----Original Message-----
From: P Ehlers [mailto:ehlers at ucalgary.ca]
Sent: Sunday, August 02, 2009 10:32 AM
To: Manisha Brahmachary
Cc: r-help at r-project.org
Subject: Re: [R] how do i retain decimal values

You've already been pointed to options(digits=);
here's another way: since your data appear to be limited to 2 decimals,
why not select your noise from UNIF(0, 0.001)?

More importantly, are you really trying to do correlation between the
values you're showing us? What do you hope to learn from such correlations?

Peter

Manisha Brahmachary wrote:
> Hello,
>
>
>
> I am trying to do a spearman correlation. My data has tied values. To
> overcome this issue, I am adding some random noise (values) to my original
> data. However when I add the random noise to the data, the final matrix
does
> not show the new values. I guess the reason being that the noise I add is
> very small and the full value including the decimals gets truncated to show
> only the value upto two decimal points. Is there a way to keep the full
value
> as it is without truncation. Thanks for your suggestions in advance.
>
>
>
> My script:
>
>
>
> rand.val: stores the random numbers
>
> data: stores the actual values
>
>
>
>
rand.val<-data.frame(a=runif(11,0.000000001,0.00000001),b=runif(11,0.00000000
> 1,0.00000001),
>
c=runif(11,0.000000001,0.00000001),d=runif(11,0.000000001,0.00000001),e=runif
>
(11,0.000000001,0.00000001),f=runif(11,0.000000001,0.00000001),g=runif(11,0.0
> 00000001,0.00000001),h=runif(11,0.000000001,0.00000001))
>
> rand.val<- as.matrix(rand.val)
>
>
>
>
>> data
>>
>
>       X1015 X1238 X1433 X1520 X1847 X1870 X1928 X2422
>
> 1-Mar     2     2     2  2.00  2.00  2.00     2  2.00
>
> 2-Mar     2     2     2  2.00  2.00  2.00     2  2.00
>
> 5-Mar     2     2     2  2.00  4.28  2.00     2  2.00
>
> 6-Mar     2     2     2  2.00  2.00  2.00     2  2.72
>
> 8-Mar     2     2     2  2.00  2.00  2.00     2  2.00
>
> 9-Mar     2     2     2  2.00  2.00  2.00     2  2.00
>
> 1-Sep     2     2     2  2.00  2.00  2.00     2  2.00
>
> 2-Sep     2     2     2  2.00  2.00  1.39     2  2.00
>
> 6-Sep     2     2     2  2.00  2.00  2.00     2  2.00
>
> 8-Sep     2     2     2  1.05  2.00  2.00     2  2.00
>
> 9-Sep     2     2     2  2.00  2.00  2.00     2  2.00
>
>
>
>
>> rand.val
>>
>
>                  a            b            c            d            e
> f            g            h
>
>  [1,] 6.066415e-09 7.243185e-09 2.579000e-09 6.140522e-09 6.630778e-09
> 7.035269e-09 4.122901e-09 1.449599e-09
>
>  [2,] 3.623560e-09 9.038553e-09 2.269913e-09 7.762269e-09 5.540944e-09
> 1.478679e-09 6.159272e-09 7.082123e-09
>
>  [3,] 2.085766e-09 3.737900e-09 2.457034e-09 4.939643e-09 3.868569e-09
> 5.015730e-09 3.320189e-09 3.858882e-09
>
>  [4,] 5.037955e-09 8.234747e-09 5.407211e-09 4.136906e-09 9.078506e-09
> 8.743044e-09 8.026434e-09 7.089469e-09
>
>  [5,] 6.254242e-09 7.805144e-09 5.264731e-09 3.993522e-09 4.668103e-09
> 9.429713e-09 2.144503e-09 4.739684e-09
>
>  [6,] 2.051520e-09 3.173583e-09 7.463606e-09 2.799975e-09 6.192137e-09
> 4.345219e-09 1.301613e-09 2.913670e-09
>
>  [7,] 7.278996e-09 4.329527e-09 2.407270e-09 8.421633e-09 4.196166e-09
> 9.890987e-09 3.783615e-09 4.093923e-09
>
>  [8,] 9.046755e-09 5.665165e-09 7.740206e-09 3.482159e-09 6.048917e-09
> 3.170118e-09 6.764364e-09 5.860817e-09
>
>  [9,] 7.766820e-09 5.901440e-09 2.198517e-09 7.349194e-09 6.563453e-09
> 9.981425e-09 7.768106e-09 4.213753e-09
>
> [10,] 4.493040e-09 5.796008e-09 1.623817e-09 8.136924e-09 1.029656e-09
> 3.725094e-09 8.767293e-09 7.532047e-09
>
> [11,] 5.974140e-09 4.173989e-09 8.704932e-09 1.929161e-09 5.718819e-09
> 4.995755e-09 4.723989e-09 9.198158e-09
>
>
>
>
>> data+rand.val
>>
>
>
>
> X1015 X1238 X1433 X1520 X1847 X1870 X1928 X2422
>
> 1-Mar     2     2     2  2.00  2.00  2.00     2  2.00
>
> 2-Mar     2     2     2  2.00  2.00  2.00     2  2.00
>
> 5-Mar     2     2     2  2.00  4.28  2.00     2  2.00
>
> 6-Mar     2     2     2  2.00  2.00  2.00     2  2.72
>
> 8-Mar     2     2     2  2.00  2.00  2.00     2  2.00
>
> 9-Mar     2     2     2  2.00  2.00  2.00     2  2.00
>
> 1-Sep     2     2     2  2.00  2.00  2.00     2  2.00
>
> 2-Sep     2     2     2  2.00  2.00  1.39     2  2.00
>
> 6-Sep     2     2     2  2.00  2.00  2.00     2  2.00
>
> 8-Sep     2     2     2  1.05  2.00  2.00     2  2.00
>
> 9-Sep     2     2     2  2.00  2.00  2.00     2  2.00
>
>
>
> Manisha
>
>
>
>
>
>
>
>
> 	[[alternative HTML version deleted]]
>
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