search for: instincts

Dear List: I have searched the archives and my R books and cannot find a method to transform a continuous variable into a binary variable. For example, I have test score data along a continuous scale. I want to create a new variable in my dataset that is 1=above a cutpoint (or passed the test) and 0=otherwise. My instinct tells me that this will require a combination of the transform

Just wondering how to best integrate with pagination and still stick to MVC... Say I have a Post model that has a published attribute. I want to show all the recent published posts on a page. My first instinct is to create a method in the Post model called recent that does the find with proper conditions and order, but the problem I have is how do I use that with pagination (which definitely

Hi, I have about 900 files that I need to run the same R script on. I looked over the R Data Import/Export Manual and couldn't come up with a way to read in a sequence of files. The files all have unique names and are in the same directory. What I want to do is: 1) Create a list of the file names in the directory (this is really what I need help with) 2) For each item in the

Hello mailinglist! We are currently building a largish community-site, where users are going to receive diskspace to upload files and share with each other. Now we have to decide whether to put these files on the filesystem, or in the db as blobs. The pros and cons we have summed up so far is: --db-- faster than filesystem (according to some) easier to separate from the webservers, since they

In the past we assumed that external displays did their own dithering if needed. GPU based dithering is only needed for laptop displays if i had to guess. I was almost thinking my monitor was malfunctioning because of strange barely visible flickering. Now it *seems* as if dithering was the problem, although time will have to tell, because it's subtle to see these effects. Ofcource i can try

Users, I am currently running scripts on a rather large dataset. Many times I sort the data into smaller datasets and must analyze them individually. My instincts are to make a for loop, but I can't seem to find a way to index each sub-dataset (data frames as the case would have it). I would make an array, however, the data types of the columns are different and as I understand, an array cannot handle this type of structure. Any advice on how to do this...

...d with R for Linux when doing much the same thing. I don't have a direct comparison, because they're not running on the same machine; but machine W has a faster CPU and more RAM than machine L, yet S-plus on W seems to take longer by quite a big factor (of the order of 5x) than R on L. My instincts say that "WIndows" is probably a significant factor in the comnparison, but still ... Ideally, to compare R with S-plus, one should look at them both on the same OS (Unix or Windows) on the same machine. Can anyone give me clean comparative speeds? With thanks, Ted. -----------------...

Hi All: Let's say I have two dataframes (Condition1 and Condition2); each being on the order of 12,000 and 16,000 rows; 1 column. The entries contain dates. I'd like to calculate, for each possible pair of dates (that is: Condition1[1:10,000] and Condition2[1:10,000], the number of days difference between the dates in the pair. The result should be a matrix 12,000 by 16,000. Really,

Thanks for the reply. Please see my inline responses. On 15/08/13 12:58, Tim Northover wrote: > Hi Dan, > >> It is not stated how the "<ty>" type is used as we are told the >> type of result is type* and sizeof(<type>)*NumElements is the >> amount of memory so from my perspective it looks like <ty> is >> never used which would seem to

I am running a Samba domain controller with LDAP integration. I have at least some workstations which do not seem to be syncing the time with the DC at all. My first instinct is to simply set the time with a logon script, but of course that runs as the user, whom does not have permission to set the system time. I would prefer to get it working right, to where the system syncs its time with the

Hi everyone, I am trying to get up to speed on the MC object file emission for ARM, the first cut being for ELF, and the testing required for that. Obviously, we want the tests for the .o emission to ultimately test the entire .ll -> many llvm passes -> .bc -> .o, but as a first cut, my instinct tells me that a simple .cpp unit tests that directly invokes the MC code to generate (and

Hello. I just tried (as my first attempt in xenning) to set up a lenny amd64 domU on a partitionable Mirror RAID (/dev/md_d0p1 - /dev/md_d0p4), using the Debian installer from "people.debian.org/~joeyh/d-i/images/daily/". The partitions of the md will be represented inside the domU as /dev/xvda1-4 accordingly. The dom0 seems to run fine, it''s Xen 3.2.1 on amd64 lenny. The

> > Is the drepl local processes very busy doing inbound replication? How can I check this? My instinct is either the server is very busy (and this should show up in > CPU use) or a transaction is being held open excessively. I use VMs on Proxmox. In DC1, I installed the Proxmox agent, and CPU usage via the dashboard is very low. However, when I checked using 'top,' the LDAP

...ts. Intuitively, I would have expected the confidence limits for the quartic term to be much narrower than for, say, the linear term, because the effect of variation in the quartic term is so much larger. But the way confidence intervals are calculated in R, at least, does not seem to follow my instincts here. In other words, predicted values using the 2.5% value of the linear coefficient and the 97.5% value of the linear coefficient are really not very different, but predicted values using the 2.5% value of the quadratic coefficient and the 97.5% value of the quadratic coefficient are enormously,...

Hi all, Let's say I have a data.frame and wants to turn each of it's columns into a factor. My instinct would be to use as.factor with apply. But this won't work, and result with a data.frame of characters. I found another solution for how to achieve this, but I would also like to understand - *WHY* does it work this way? Here is an example script: a <- data.frame(x1 = rnorm(100),

Hi, Though I haven't looked into the implementation details, at the high level, I personally think having the address space argument is cleaner than having it encoded as a pointer. The memory barrier places a barrier on the entire address space. When I see the %ptr11 on the memory barrier instruction, my first instinct is to that it is a memory barrier on the region of memory that

Been moving along just fine for a couple years now, then in the last two days, email has slowed to a crawl. Retrieving email via IMAP is very slow, progress bar in the mail client shows that it is downloading messages almost constantly, like it never closes the connection, or it?s getting the messages very slowly. The server that dovecot/postfix is on has also bogged down to a crawl. The

On Fri, Jan 10, 2020 at 7:02 AM Jeremy Morse <jeremy.morse.llvm at gmail.com> wrote: > Hi, > > On Wed, Jan 8, 2020 at 8:38 PM Adrian Prantl <aprantl at apple.com> wrote: > > As far as LLVM semantics are concerned, the implicit pointer doesn't > seem to be that much different from any other implicit values (such as > constants) to me. Why do you think that it

Thanks for getting back to me. It seems to me the LDAP process being busy would be the root cause here. Working out what is going on here shouldn't is a detective task - I always start with a wireshark trace. The client making all the noise/traffic will be the one causing the trouble. If it isn't clear from that, then look into the DB audit logging for perhaps busy writes

Either the local server is busy, or possibly (but it would not explain the samba_kcc) Samba's drepl process is stuck talking to a remote server. Is the drepl local processes very busy doing inbound replication? My instinct is either the server is very busy (and this should show up in CPU use) or a transaction is being held open excessively. Andrew Bartlett On Sat, 2024-03-09 at 19:11 -0300,