Bert Gunter writes:
> Chuck:
>
> A bad idea, I think: Rounding to unique values loses data density,
> while sampling preserves it (to display resolution -- also a form of
> rounding).
Bert,
The subject is "qqnorm & huge datasets".
Downsampling for qqplots produces unreliable tails. Try downsam
Chuck:
A bad idea, I think: Rounding to unique values loses data density,
while sampling preserves it (to display resolution -- also a form of
rounding).
-- Bert
On Thu, Dec 22, 2011 at 11:10 AM, wrote:
> Sam Steingold writes:
>
>> Hi,
>> When qqnorm on a vector of length 10M+ I get a huge pd
Sam Steingold writes:
> Hi,
> When qqnorm on a vector of length 10M+ I get a huge pdf file which
> cannot be loaded by acroread or evince.
> Any suggestions? (apart from sampling the data).
> Thanks.
Following the other suggestions, I did not notice mention of another
trick for slimming down gra
On Dec 22, 2011, at 18:17 , Sam Steingold wrote:
>> * peter dalgaard [2011-12-21 23:59:18 +0100]:
>> On Dec 21, 2011, at 23:10 , Sam Steingold wrote:
>>> When qqnorm on a vector of length 10M+ I get a huge pdf file which
>>> cannot be loaded by acroread or evince.
>>> Any suggestions? (apart fro
> * peter dalgaard [2011-12-21 23:59:18 +0100]:
> On Dec 21, 2011, at 23:10 , Sam Steingold wrote:
>> When qqnorm on a vector of length 10M+ I get a huge pdf file which
>> cannot be loaded by acroread or evince.
>> Any suggestions? (apart from sampling the data).
>
> Sample intelligently? Things l
I'd second Peter's suggestion, but if you need every data point for
whatever reason, you might also try passing the pch = "." option to
qqnorm. On a test with 1e7 data points, it more than halved the
resulting file size and with that many points, there's no loss in
clarity with the different marker
On Dec 21, 2011, at 23:10 , Sam Steingold wrote:
> Hi,
> When qqnorm on a vector of length 10M+ I get a huge pdf file which
> cannot be loaded by acroread or evince.
> Any suggestions? (apart from sampling the data).
Sample intelligently? Things like
> qq <- seq(-4,4,,10001)
> qqplot(qq,quantil
On Dec 21, 2011, at 4:10 PM, Sam Steingold wrote:
> Hi,
> When qqnorm on a vector of length 10M+ I get a huge pdf file which
> cannot be loaded by acroread or evince.
> Any suggestions? (apart from sampling the data).
> Thanks.
Depending upon what your end product needs to be, generate a png fil
Hi,
When qqnorm on a vector of length 10M+ I get a huge pdf file which
cannot be loaded by acroread or evince.
Any suggestions? (apart from sampling the data).
Thanks.
--
Sam Steingold (http://sds.podval.org/) on Ubuntu 11.10 (oneiric) X 11.0.11004000
http://mideasttruth.com http://honestreporting
9 matches
Mail list logo
