similar to: unexpected behaviour of 'curve' function

It seems that Access needs that you surround the dates with a # symbol. You probably need something like. res <- sqlQuery(channel, "select * from test_table where market = 'atl-bos' and competitor = 'delta' and dd = #2007-11-20#") Hope this helps, Stefano -----Messaggio originale----- Da: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org]Per

a closer look to the help on predict.glm will reveal that the function accepts a 'type' argument. In you case 'type = response' will give you the results in probabilities (that it seems to be what you are looking for). There also is an example on use of the 'type' argument at the end of the page. Stefano -----Messaggio originale----- Da: r-help-bounces at r-project.org

sorry for my previus (WRONG) answer, as someone already pointed out a solution could be subset(data, PUNTAR==c("IX49","IX48")) > -----Messaggio originale----- > Da: Guazzetti Stefano > Inviato: venerd?? 23 luglio 2004 15.55 > A: 'Luis Rideau Cruz'; r-help at stat.math.ethz.ch > Oggetto: R: [R] retrieve rows from frame assuming criterion > >

Dear all I solved a problem of customised labels on strips and boxes in bwplot by this construction. > bbb <- bwplot(zavoj ~ typmleti | pu) > bbb$condlevels$pu <- c("Povrchov? ?prava", "Bez PU") > bbb$x.limits <- c("Mleto", "Mleto a s?tov?no", "Nemleto") > bbb but I wonder if some other easy option exist. Let say something

Hello, I'd appreciate your comments on the following problem I'm having, please forgive me if this is something obvious, I've been scratching my head on this for a while: I have Asterisk+Kamailio setup where I'm currently testing inbound calls from outside. I have both webrtc and sip clients, where webrtc peers are defined according to sip.js instructions (

Hello, I have a problem with a call between 2 webrtc clients. Asterisk removes the ice-related lines from the sdp when it sends the INVITE out, and the called webrtc client rejects the INVITE due to the missing ice lines. Both webrtc clients are defined exactly the same way, same values in all fields except the number of the peer. There's probably something I've changed that causes this

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 Symptoms: curve with log x axis gets the wrong x limits (in 2.6.1, I believe introduced in this version). Credit goes to Mike McCoy for detecting the problem. Demonstration: x = 1:5 plot(x,5*exp(-x),xlim=c(0.1,1000),log="x") xvec = 10^seq(-1,3,length=100) lines(xvec,5*exp(-xvec)) curve(5*exp(-x),add=TRUE,col=2,lwd=3) I believe

Greetings, I've noticed a problem that might originate from my Asterisk configuration, could use a hand in sorting it out. Problem is a 488 response from Asterisk whenever it gets RTP/SAVPF profile in the SDP. My current setup has Asterisk Kamailio realtime integration, and Kamailio uses dispatcher to route calls for Asterisk to handle. Now I have only one Asterisk, on the same machine as

hi all, I have a Class, Client, which has_many projects (Project class). the projects depend on a session_id variable, however. So the question is, how can I do the following: has_many :projects, :finder_sql => "SELECT p.* FROM projects p INNER JOIN projects_users pu ON pu.project_id = p.id WHERE pu.user_id = #{session[:user_id]}" The problem is that I need to filter a

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 I have some data generated as follows: <code> n <- 2000 work <- vector() for(x in 1:n) { work[x] <- sum(1:(n-x+1)) } plot(work) </code> What I want to do - ----------------- I want to split work into a number of unequal chunks such that the sum of the values in each chunk is approximately equal. The numbers in

R Help on 'chisq.test' states that "if 'simulate.p.value' is 'TRUE', the p-value is computed by Monte Carlo simulation with 'B' replicates. In the contingency table case this is done by random sampling from the set of all contingency tables with given marginals, and works only if the marginals are positive... In the

Dear R-help! I have encountered strange behaviour (that is, far-off filtering, smoothing and forecast distributions under certain conditions) in the `dlm` package by Giovanni Petris. Here is an example: I use the annual hotel bookings time series data, which I model using a second order polinomial DLM. First I perform the analysis with the data in logarithmic form and everything seems to be

Hi, I noticed that my Samba 4 DC isn't OK, because the are differences between the data storaged int he Schema on my Windows Server 2008 (isn't R2) DC and Samba 4 DC. This way, I performed several tests on my servers as shown below. Follow the results of command repadmin in the Windows Server 2008: C:\Windows\system32>repadmin /showreps /verbose Default-First-Site-Name\WIN-DC1

Folks, I am having major performance issue with my Erlang application running on openstack KVM hypervisor and after so many test i found something wrong with my KVM guest CPU Topology This is KVM host - http://paste.openstack.org/show/790120/ This is KVM guest - http://paste.openstack.org/show/790121/ If you carefully observe output of both host and guest you can see guest machine threads has

Thanks for the support. Here's list of when transition to battery with return to utility power within a few seconds occurred in last few days: Wednesday 1:41 11:48 11:54 12:59 13:42 14:42 18:13 18:14 Thursday 5:23 Friday 5:12 7:39 7:43 Saturday 7:34 Here's list of when messages that battery needs replacement occurred: Wednesday 20:34 Thursday 9:07 23:09 Friday 18:25 Saturday 7:32 19:47

I would like to simulate some SARIMA models, e.g. a SARIMA (1,0,1)(1,0,1)[4] process. I installed the package 'forecast', where the function simulate.Arima should do what I am trying to do. I am not able to understand how it works Could somebody help me with an example? thank you Stefano Sofia AVVISO IMPORTANTE: Questo messaggio di posta elettronica pu? contenere informazioni

hello, I have to calculate the determinants of near singular matrices. Presently R just stop at the precision of 2.16 e-16. Can some one tell me how can I set the precision of zero in R ? thanks chen pu

Yes, paraphrasing Murphy I can say of myself: "Nothing seems to be able to stop a stupid thought in its pathway from the brain to the keyboard". :-) Sorry once again and thank for your patience. Stefano > -----Messaggio originale----- > Da: Prof Brian Ripley [mailto:ripley at stats.ox.ac.uk] > Inviato: venerd?? 23 luglio 2004 16.30 > A: Guazzetti Stefano > Cc: Luis

Hello! I am struggling for quite some time with proper printing of local characters in pdf plot, via Sweave snippets in Rnw file. When I am working directly within R, all is fine and I can get local character properly, like: pdf('figs/fig-relativeEntropy0.pdf', h=6, w=6, encoding='CP1250') matplot(par[, c(3)], type='b', ylim=c(0,0.5), xaxt='n', pch=c(21),

On 21/03/2018 11:44 AM, Stefano Sofia wrote: > Dear list users, > let me ask you this trivial question. I worked on that for a long time, by now. > Suppose to have a data frame with NAs and to sum some columns with rowSums: > > df <- data.frame(A = runif(10), B = runif(10), C = rnorm(10)) > df[1, ] <- NA > rowSums(df[ , which(names(df) %in%