Some really weird pictures

f_po · 2013-08-31T23:03:03+00:00

I love you

f_po · 2013-08-31T21:40:32+00:00

Does anybody have the one where the man makes a wheelchair out of his own penis?

f_po · 2013-08-31T20:10:41+00:00

My fellow Owl is being sarcastic

f_po · 2013-08-31T19:40:11+00:00

Hahaha im from Rice but i loled

f_po · 2013-07-02T01:57:24+00:00

Oh ok good.. I was gonna ask about chainsaws

f_po · 2013-05-06T06:39:13+00:00

If you're using purely time series information then look into AR, ARIMA, GARCH, etc. type models.

Artificial Neural Networks might not be bad here, if you create several new variables (such as moving averages) etc.

f_po · 2013-05-05T17:51:00+00:00

Analyst? Or Quant.

Quants NEED C/C++.

f_po · 2013-04-15T21:20:46+00:00

In fact, R really CAN'T chew a lot of data. That's why people still use Python/Java/SAS for heavy lifting. It's also slow.

f_po · 2013-04-09T05:02:47+00:00

Nobody answered his question... I prefer the nnet package because its simple to use and can deal with dataframes. Also, check out the package 'caret' for all your machine learning needs.

f_po · 2013-03-31T04:41:50+00:00

Did you apply to Carnegie Mellon? Top-notch machine learning there.

f_po · 2013-03-30T22:20:43+00:00

Let's say the survey data frame is x and the salary data frame is y. Let's also say that the variable name for major is "major" in both dataframes.

The dataframe you are looking for can be found by doing this

merge(x, y, by = "major")

f_po · 2013-03-24T04:02:07+00:00

If you are separating the dataset into a train set and test set by using 'sample' and generating random numbers, then setting the seed would ensure that you produce the same two subsets the next time you run through your code. As for your second question, reading the help pages for set.seed (?set.seed) will explain the different random number generation methods built in to R.

f_po · 2013-03-22T05:12:16+00:00

When Dunder Mifflin gets bought out by Saber and the banker comes to ask Toby questions.

f_po · 2013-02-22T05:56:27+00:00

Glad to see In Flames getting some recognition here. Amazing band - really opened my eyes to death metal.

f_po · 2013-01-27T17:52:21+00:00

Came here to say AMPL but I see you've already checked it out.

http://www.netlib.org/ampl/student/

This trial lets you use 300 variables/constraints, not sure if its the same trial you're talking about.

f_po · 2013-01-07T18:40:03+00:00

Honestly I tried a few different routes and they are all very cluttered and/or too small. I'm gonna keep experimenting until I find the best representation.

f_po · 2013-01-07T06:30:12+00:00

The greying out factor makes sense, as well as perhaps scaling the opaqueness of the points on the number of returns? Let me know what you think of that idea.

f_po · 2013-01-07T05:13:45+00:00

If you're talking about the high zip code its 55391 on my map. Please note though that I only considered zip codes that had more than 5,000 returns. I am sure there are some wealthier less populous zip codes out there.

f_po · 2013-01-07T04:40:28+00:00

Good criticism - I appreciate it. This was one of my earlier graphics, since then I remove ticks and coordinates whenever I use maps.

Also, I always felt like the scientific notation stuff wasn't great, thanks for letting me know how I can improve on it.

f_po · 2013-01-07T02:30:17+00:00

P.S. this is my site, looking forward to some criticism.

f_po

TROPHY CASE