On Mon, Aug 27, 2012 at 3:40 PM, Nick Dokos wrote:
> John Hendy wrote:
>
>> There are six of these sections, however when I do C-c C-c on the
>> block and then C-c C-e p to export to LaTeX, I get duplicate sections
>> back to back. I have to delete the entire results section and only do
>> C-c C-
On Mon, Aug 27, 2012 at 3:50 PM, Eric Schulte wrote:
> John Hendy writes:
>
>>> Disregard again... adding multiple newlines with cat() doesn't work,
>>> but I had the idea to do:
>>>
>>> cat(paste("[[../plots/",filename,"]]",sep=""), sep="\n")
>>> cat("\n")
>>>
>>> Works great. I suppose I can us
John Hendy writes:
>> Disregard again... adding multiple newlines with cat() doesn't work,
>> but I had the idea to do:
>>
>> cat(paste("[[../plots/",filename,"]]",sep=""), sep="\n")
>> cat("\n")
>>
>> Works great. I suppose I can use this to add #+attr_latex options as
>> well as captions. Cool
John Hendy wrote:
> There are six of these sections, however when I do C-c C-c on the
> block and then C-c C-e p to export to LaTeX, I get duplicate sections
> back to back. I have to delete the entire results section and only do
> C-c C-e p with an empty results section to have the duplicate rem
> Disregard again... adding multiple newlines with cat() doesn't work,
> but I had the idea to do:
>
> cat(paste("[[../plots/",filename,"]]",sep=""), sep="\n")
> cat("\n")
>
> Works great. I suppose I can use this to add #+attr_latex options as
> well as captions. Cool stuff.
Getting a bit of odd
On Sun, Aug 26, 2012 at 10:15 PM, John Hendy wrote:
> On Thu, Aug 23, 2012 at 11:43 AM, Eric Schulte wrote:
>> John Hendy writes:
>>
>>> I'm conducting some neural network analysis, and the results are
>>> highly dependent on the random seed set prior to creating the model. I
>>> loop through se
On Thu, Aug 23, 2012 at 11:43 AM, Eric Schulte wrote:
> John Hendy writes:
>
>> I'm conducting some neural network analysis, and the results are
>> highly dependent on the random seed set prior to creating the model. I
>> loop through seeds 1-500, storing the predicted values in one data
>> frame
On Thu, Aug 23, 2012 at 11:43 AM, Eric Schulte wrote:
> John Hendy writes:
>
>> I'm conducting some neural network analysis, and the results are
>> highly dependent on the random seed set prior to creating the model. I
>> loop through seeds 1-500, storing the predicted values in one data
>> frame
John Hendy writes:
> I'm conducting some neural network analysis, and the results are
> highly dependent on the random seed set prior to creating the model. I
> loop through seeds 1-500, storing the predicted values in one data
> frame and a table of mean sum of squared errors in another table.
>
I'm conducting some neural network analysis, and the results are
highly dependent on the random seed set prior to creating the model. I
loop through seeds 1-500, storing the predicted values in one data
frame and a table of mean sum of squared errors in another table.
Then, I use ggplot to create
10 matches
Mail list logo
