similar to: Rails 2.3 memcache performance drop

#is there a way to get NA in the table of descriptive statistics instead of the function stopping Thank you in advance #data x.f <- structure(list(Site = structure(c(9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L), .Label = c("BC", "HC", "RM119", "RM148", "RM179", "RM185",

Hi... Isn''t there a proper way or hack/workaround for the following? * For the example with unfortunate disabilities.. look below,,, Usage of has_* (associationmethods) do {def with_deleted AccociatedModel#with_scope} {Paranoid''s#find_with_deleted}... The has_one associations give me a nil object when invoking it with Model.association_OBJECT.with_deleted. Has_many does like

I am really new to R and ran across a need to take a data matrix and calculate an approximation of the first derivative of the data. I am more than happy to do an "Excel" kind of calculation (deltaY/deltaX) for each pair of rows down the matrix, but I don't know how to get R to do that kind of calculation. I'd like to store it as a 3rd column in the matrix as well. My data

Dear all R-users, I wanted to fit a Garch(1,1) model to a dataset by: >garch1 = garch(na.omit(dat)) But I got a warning message while executing, which is: >Warning message: >NaNs produced in: sqrt(pred$e) The garch parameters that I got are: > garch1 Call: garch(x = na.omit(dat)) Coefficient(s): a0 a1 b1 1.212e-04 1.001e+00 1.111e-14 Can any one

I am assuming this an appropriate place to discuss this, but if it isn''t my apologies- just let me know. Just a Rails 4-ish thing. Am attempting to pull AMS (active_model_serializers), strong_parameters, and the "permitter" strategy that Adam Hawkins is using: http://broadcastingadam.com/2012/07/parameter_authorization_in_rails_apis/ Code so far is here (in the

Hi, after changing a primary key column name, the auto-increment information (MySQL) and sequence (Oracle) are lost. What is the correct way to rename primary keys? Thanks, Gustavo -- You received this message because you are subscribed to the Google Groups "Ruby on Rails: Talk" group. To post to this group, send email to

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Hey everyone, I am working on an application that allows users to submit articles, and also comment on those articles. Pretty much exactly like Digg. Everything works fine except that when there are a lot of comments there are a lot of database queries to both fetch the comments and the users who posted those comments. I have used eager loading in other parts of my application to reduce the

Thanks Louis. Results below. > Hai, > > I've reading this thread more closely. > > I suggest you try the followoing. > > Check the servers hardware clock in the bios first. > Set these within 5 min, if they are not about the same. > There no RTC in the pi; the other DC is running in a VM with RTC set to UTC. I have disabled the guest from getting the time

First, my installation is samba 2.2.8 running as a daemon (not inetd) on Solaris 8 configured to use a WINS server and provide authentication via a PDC (same host as WINS server). I do have an lmhosts file in the samba /lib directory with the PDC/WINS server address in it. My globals section; [global] workgroup = WORKGROUP netbios name = SAMBASERVER security =

I am not sure if your problem is similar to what we have just experienced. we are using samba 2.2.3a-12.3 on debian with winxp sp1 clients we are using roaming profiles first logon after reboot fails sortof Windows cannot find a server copy of roaming profile will logon with local profile funny thing we never saw any activity in hostname.log (seperate smb.log for each machine) smbstatus showed

Listing directories with many files (10000+) from a Windows client is nociceably slower when vfs_fruit is enabled on the samba server compared to the same setup without vfs_fruit. On my setup it's roughly 2.5 times slower. To me it looks like this is caused by the getxattr call which is only present with vfs_fruit activated and introduces an additional delay of ~ 0.00033 s per listed

Dear all, I am having v.4.36 of Quantreg package and I noticed strange behaviour when weights were added. Could anyone please explain me what if the results are really strange or the behavioiur is normal. As an example I am using dataset Engel from the package and my own weights. x<-engel[1:50,1] y<-engel[1:50,2] w<-c(0.00123, 0.00050, 0.00126, 0.00183, 0.00036, 0.00100, 0.00122,

I did re-read the whole thread again. Im running out of options.. When i look at : https://wiki.samba.org/index.php/PAM_Offline_Authentication You can do these last checks. Run the : Testing offline authentication as show on the wiki. Debian normaly does not have /etc/security/pam_winbind.conf, check if its there if so backup it remove it. Check if these packages are installed.

Does anyone know how to determine the echo tail size (in ms) of a particular call? -------------- next part -------------- An HTML attachment was scrubbed... URL: http://lists.digium.com/pipermail/asterisk-users/attachments/20060114/81fea099/attachment.htm

Can anyone tell me why I am getting this error using rails3 and Ruby1.9.2:- Completed 200 OK in 212313ms (Views: 2.8ms | ActiveRecord: 0.0ms) Homepage Load (0.2ms) SELECT "homepages".* FROM "homepages" WHERE ("homepages"."section" = ''%Gar%'') ArgumentError (wrong number of arguments (2 for 0)):

On Tue, Jun 20, 2017 at 05:04:53PM +0300, Pavel Butsykin wrote: > I noticed that raw is intentionally used as image format for appliance > image. So I would like to ask, is there any reason to use raw as image > format for appliance? The simple answer is because we create the appliance image (it's an ext2/3/4 filesystem) using e2fsprogs, and that library wouldn't know how to

Hi there, I'm having some difficulty with the ROCR package. I've installed it fine, and the sample data works (ROCR.simple), however when I try to load my own data it complains that there is an error in prediction as the number of classes is not equal to 2. I read the data from a text file which contains one column of probabilities and one column of binary 0 and 1. I then put it into a

I'm having a great deal of trouble replicating x12 ARIMA's F-test used to detect moving seasonality. According to all literature I could find, the test is apparently a 2-way ANOVA with year and month as factors for the SI ratios determined by x12's smoothing algorithm. Note the SI ratio is simply the detrended series. The summary I get from manually running this 2-way ANOVA using the

Hi all I am not an experienced user of R. I am trying to perform DIF analysis using Lordif and I get the follow error: > GroupDIF <- lordif(resp.data=Resp, group=Group, criterion="R2", pseudo.R2="McFadden", R2.change=0.02) Iteration: 500, Log-Lik: -137340.437, Max-Change: 0.00119 EM cycles terminated after 500 iterations. (mirt) | Iteration: 1, 14 items flagged for DIF