About xtc283x

xtc283x · ‎08-04-2015

There are many papers on using SAS/Graph to visualize networks of predator-prey food networks. I have a much more specific graph I would like to do in SAS that is summarized in this Science article titled "Asymmetric Coevolutionary Networks." The graph captured in this article has the network laid out in vertical arrays with lines drawn between the nodes to indicate the degree of association. How would I express such a visual relationship in SAS? Thank you. http://www.sciencemag.org/content/312/5772/431/F1.expansion.html

xtc283x · ‎07-14-2015

Thanks, Bruno!

xtc283x · ‎07-14-2015

Thanks, Asko. That works!

xtc283x · ‎07-14-2015

I have a pipe delimited file that contains several date/time fields with information like this: '2/8/2015 0:00:00' What is the datetime function that would read these fields in and allow me to use the daypart() or timepart() functions to break them out separately? Thanks!

xtc283x · ‎07-13-2015

Great! Thank you...

xtc283x · ‎07-12-2015

Ok, thanks again.

xtc283x · ‎07-12-2015

Rick- That's fantastic. Thank you! I just have one more question: there's an approach to PCA that leverages the Lanczos algorithm as described here (https://en.wikipedia.org/wiki/Lanczos_algorithm ) with the complete method described here ( [1412.6506] Cauchy Principal Component Analysis ). Any chance the Lanczos algorithm has a pre-existing routine or module in SAS/IML? Thomas

xtc283x · ‎07-12-2015

How sensitive is SAS/IML to two things: - Extreme values or outliers in the data -- does this influence the eigenvalues? - Very large, high dimensional data -- how much slower is the routine? Any insights into these questions would be most appreciated.sas

xtc283x · ‎04-05-2015

Thank you...I think I got the answer I needed to hear, just not the answer I wanted to hear...

xtc283x · ‎04-04-2015

Uh oh! I was afraid of that....thanks.

xtc283x · ‎04-04-2015

Tom, thanks for your reply. Just to be clear, I'm not interested in extracting the file and setting it up for uncompressed, flat file-like access. Rather, I want to leave it in its compressed state and access it in real program run-time. Given that clarification, what would the SAS syntax look like?

xtc283x · ‎04-04-2015

I have a Winzip compressed file which I want to read in automatically in a SAS program flow using SAS decompression engines. I've tried a couple of import, compression commands as well as 7zip.exe, none of which have worked. I am working on a Windows XP platform. Here's the compressed file name: EPS_INFORMACION.zip and the file zipped up inside is an Excel *.xlsx file named EPS_Data.xlsx. Any suggestions? Thank you!

xtc283x · ‎04-04-2015

There are a few transformations that can be useful in compressing the tails of extreme valued data. One is the inverse hyperbolic sine, for which there is a SAS function. Another is Lambert's W, Lambert W-Function -- from Wolfram MathWorld R has a function for this transformation. In searching for it on SAS Support, it looked like the OR Reliability module might have some Gumbel-type proxy for it...but I couldn't find an explicit statement or confirmation of the existence of a function. Anybody know if a Lambert's W function, and it's inverse, exists in SAS?

xtc283x · ‎03-30-2015

Steve and lvm- As always, thank you for your insightful comments. Best, Thomas

xtc283x · ‎03-26-2015

Steve- In thinking more about your SUBJECT= suggestion, it's not clear to me how the SUBJECT= option differs from the GROUP= option in the RANDOM statement. In other words, if one is modeling multiple dependent variables, would one approach be to treat the data stacks for the different DVs using the GROUP= option and the actual unit of analysis with the SUBJECT= option? Some clarification of this would be helpful! Thanks, Thomas

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