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I have a full data set like this: aa bas aas bms ams bcu acu omega y 1 ALA 0 127.71 0 69.99 0 -0.2498560 79.91470 outward 2 PRO 0 68.55 0 55.44 0 -0.0949008 76.60380 outward 3 ALA 0 52.72 0 47.82 0 -0.0396550 52.19970 outward 4 PHE 0 22.62 0 31.21 0 0.1270330 169.52500 inward 5 SER 0 71.32 0 52.84 0 -0.1312380 7.47528 outward 6

Okay, to convince myself that quota handling was working okay with Dovecot 1.0-rc27 on Solaris 10, I tested sending a message to an account that was purposely over-quota. The account in question had a vacation message set up. For the first test, there was no $HOME/.imap directory at all. I received the vacation message, but the message which was supposed to be delivered locally queued in Postfix

Try tilaa.nl virtual servers? 16.2.2013 22.40 "Tim Dunphy" <bluethundr at gmail.com> kirjoitti: > Hey guys, > > Apologies in advance if this question is in poor taste. But I've really > fallen in love with learning about the cassanrdra database. The only > problem is that it doesn't run very well on an t1.micro instance at amazon > and the larger sizes

Hi, I am trying to use svm for regression data. this is how my data looks like: >dataTrain x y z 1 4 6 2 5 4 3 7 5 >classTrain a 2 3 4 >dataTest x y z 1 7 2 2 8 3 >classTest a 3 4 5 building the model model<-svm(dataTrain,classTrain,type="nu-regression") pred <- predict(model, dataTest) > pred 1 2 3.008842 3.120078 I

I recently started using R 2.14.0 on a new machine and i am experiencing what seems like unusually greedy memory use. It happens all the time, but to give a specific example, let's say i run the following code -------- for(j in 1:length(files)){ load(file.path(dump.dir, files[j])) mat.data[[j]]<-data } save(abind(mat.data, along=2), file.path(dump.dir, filename)) ---------

Dear R users, I am reading data from a file where there are some missing that are represented by -9999.00. I am using the command below. =====My original data =========== PARM = TMPC;T12X;T12N;DWPC;PALT;SKNT;DRCT;P24M;CLCL STN YYMMDD/HHMM TMPC T12X T12N DWPC PALT SKNT DRCT P24M CLCL 820420 110429/1200 22.50 -9999.00

Am seeing: > Jul 19 14:59:19 mercury mail:err|error dovecot: IMAP(jab): dotlock /var/spool/mail/jab.lock was immediately delet > ed under us > Jul 19 14:59:19 mercury mail:err|error dovecot: IMAP(jab): file_lock_dotlock() failed with mbox file /var/spool/m > ail/jab: No such file or directory what does it mean, what should I be doing to alleviate or troubleshoot the problem? -- ====

Here's the story... Nortel system set to use g711 @ 30ms payload ... Asterisk box would need to communicate to that box @ 30 ms and another end point at 20 ms. I've seen discussions of setting this to a different size, but seems to be limited to the entire codec and not on a per peer basis. Anyone have luck with this? The Asterisk can be 1.4 or 1.6.x... I've a preference for

The systemd glusterd.service unit modify do not resolve my problem The solution is mount the glusterfs volume with this line into /etc/fstab: virt2:/gfsvol2 /virt-gfs glusterfs defaults,_netdev,noauto,x-systemd.automount,x-systemd.device-timeout=20,x-systemd.requires=glusterd.service 0 0 run systemctl daemon-reload and run this for mount the volume systemctl restart virt\\x2dgfs.mount

I have install and configure on two server centos8 glusterfs in replica mode in this manner: dnf install centos-release-gluster -y dnf install glusterfs-server glusterfs glusterfs-fuse -y systemctl enable --now glusterd gluster peer probe virt1 gluster peer status sh creavolume.sh gfsvol1 301G /gfsvol1 xfs # NOTE: this is a my shell script to create fs on lvm mkdir

Dear all, I find some troubles about how to extact the row from csv. file by using if-statement condition. I want to extract the row if the rainfall is greater than the mean of rainfall and using the wrfta divided into 3 groups that's rainfall greater than mean -> group A ( create file group A_rain) -> groupB ( create file group B_rain)

maybe it's in the data? So here it comes. > sv.growth Grouped Data: length ~ meas | box_id meas spec comp water box_id sprouts leaves length long.sprout 1 1 Sv control moist 1 8.800000 37.80 211.2000 60.6 2 1 Sv xfull moist 2 7.000000 8.00 174.8000 62.8 3 1 Sv control moist 3 9.000000

Dear All: Urgent help is needed. I have a data set in matrix format of three columns: X, Y and index of four groups (1,2,3,4). What I need to do is the following; 1- How I can subtract the sample mean of each group indexed 1,2,3,4 from the corresponding data values of this group and create new columns say X-sample mean and Y-sample mean? I tried to use the "tapply" but

The following seems to be a bug when I tried to use the predict function. > forbes boil.pt pressure log.pressure [1,] 194.5 20.79 303.4472 [2,] 194.3 20.79 303.4472 [3,] 197.9 22.40 310.9061 [4,] 198.4 22.67 312.1042 [5,] 199.4 23.15 314.1995 [6,] 199.9 23.35 315.0597 [7,] 200.9 23.89 317.3460 [8,] 201.1 23.99

Hi all, I am a real novice to R. :) I am struggling with a problem for generating colored dendrogram. I have searched the R list and complied/collected a R code which can generated a colored dendrogram based on the rainbow color and 4x4 similarity matrix (say matrix:m). In this dendrogram, each leaf is colored differently. But, I do not want the leaf colored on a random basis. I want to assign