similar to: What does this warning message (from optim function) mean?

Hi R users, I am using the optim funciton to maximize a log likelihood function. My code is as follows: p<-optim(c(-0.2392925,0.4653128,-0.8332286, 0.0657, -0.0031, -0.00245, 3.366, 0.5885, -0.00008, 0.0786,-0.00292,-0.00081, 3.266, -0.3632, -0.000049, 0.1856, 0.00394, -0.00193, -0.889, 0.5379, -0.000063, 0.213, 0.00338, -0.00026, -0.8912, -0.3023, -0.000056), f,

Hi R users, I am trying to call openbugs from R. And I got the following error message: ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ model is syntactically correct expected the collection operator c error pos 8 (error on line 1) variable ww is not defined in model or in data set [1] "C:\\DOCUME~1\\maomao\\LOCALS~1\\Temp\\RtmpqJk9R3/inits1.txt"

Hallo! I have the following function: cLL_beta <- function(beta){ sumterm=0 a=1 b=0 S=I_n-lambda*w R=I_n-rho*w det_R=det(S) det_S=det(R) for (i in 1:t){ b=i*n y_ausgew=y_tilde[a:b]#y_ausgew ist numeric y_aus=matrix(y_ausgew)#Typen anpassen X_ausgew=X[a:b,]#X_ausgew ist eine Matrix x_tilde=X_ausgew-1/t*x_t #x_tilde ist auch eine Matrix ####X_aus=matrix(X_ausgew)

Dear R-helper, I am trying to do maximum likelihood estimation in R. I use the "optim" function. Since I have no prior information on the true values of the parameters, I just randomly select different sets of starting values to feed into the program. Each time, I get the following error message: Error in optim(theta0, lf, method = "BFGS", hessian = T, Y = Y, X = X, :

Hi, im having this on my screen and dmesg im not sure if this is an error message. btw im using centos 4.4 with 2 x 200GB PATA drives. md: md0: sync done. RAID1 conf printout: --- wd:2 rd:2 disk 0, wo:0, o:1, dev:hda2 disk 1, wo:0, o:1, dev:hdc2 md: delaying resync of md5 until md3 has finished resync (they share one or more physical units) md: syncing RAID array md5 md: minimum _guaranteed_

Hi List, What this means? md: syncing RAID array md0 md: minimum _guaranteed_ reconstruction speed: 1000 KB/sec/disc. md: using maximum available idle IO bandwidth (but not more than 200000 KB/sec) for reconstruction. md: using 128k window, over a total of 2096384 blocks. md: md0: sync done. RAID1 conf printout: --- wd:2 rd:2 disk 0, wo:0, o:1, dev:sda2 disk 1, wo:0, o:1, dev:sdb2 sd 0:0:0:0:

> fit.dimer <- rpart(as.factor(out) ~ ., method="class", data=p_df) > > fit.dimer$frame[, "var"] [1] NE WC <leaf> TA <leaf> <leaf> WG WD WW WC [11] <leaf> <leaf> <leaf> CT <leaf> FC <leaf> YG QT <leaf> [21] <leaf> <leaf> NW DP DY <leaf> SK

this has never happened to me before, and I'm somewhat at a loss. got a email from the cron thing... /etc/cron.weekly/99-raid-check: WARNING: mismatch_cnt is not 0 on /dev/md10 WARNING: mismatch_cnt is not 0 on /dev/md11 ok, md10 and md11 are each raid1's made from 2 x 72GB scsi drives, on a dell 2850 or something dual single-core 3ghz server. these two md's are in

I've only been using R on and off for 9 months and started using the glasso package for sparse covariance estimation. I know the concept is to shrink some of the elements of the covariance matrix to zero. However, say I have a dataset that I know has some underlying "baseline" covariance/correlation (say, a value of 0.3), how can I change or incorporate that into to the

Hi all I''m seeing some rather bad resilver times for a pool of WD Green drives (I know, bad drives, but leave that). Does resilver go through the whole pool or just the VDEV in question? -- Vennlige hilsener / Best regards roy -- Roy Sigurd Karlsbakk (+47) 97542685 roy at karlsbakk.net http://blogg.karlsbakk.net/ -- I all pedagogikk er det essensielt at pensum presenteres

Dear all, Can anyone help me, my R software can not run a nested linear regression by using the lme funcion. The message that appears is  Error: could not find function "lme" I already downloaded and loaded the package, please see below. Thank you in advance for any help! Nadia. > data<-read.csv("/Users/nadiasan1/Desktop/MOE and MOR.csv")> attach(data)>

HI, Dear Andy, I run the RandomFOrest in R, and get the following resutls in variable importance: What is the meaning of MeanDecreaseAccuracy and MeanDecreaseGini? I found they are raw values, they are not scaled to 1, right? Which column if most similar to the variable rel.influence in Boosting? Thanks so much! > fit$importance 0 1

I have the R code at the end. The last command gives me "1 observation deleted due to missingness". I don't understand what this error message. Could somebody help me understand it and how to fix the problem? > summary(afit) Df Sum Sq Mean Sq F value Pr(>F) A 2 0.328 0.16382 0.1899 0.82727 B 3 2.882 0.96057 1.1136 0.34644 C

I am working on Johansen cointegration test, using urca and var package. in the selection of var, I have got following results. >VARselect(newd, lag.max = 10,type = "none") $selection AIC(n) HQ(n) SC(n) FPE(n) 6 6 6 5 $criteria 1 2 3 4 5 6 7 8 9 AIC(n) -3.818646e+01 -3.864064e+01

thank you for your valuable reply. I have attached my commands, results, and data with this mail..maybe it will be beneficial for you to feedback. On Tue, Nov 21, 2017 at 9:13 PM, Jeff Newmiller <jdnewmil at dcn.davis.ca.us> wrote: > Your example is incomplete... as the bottom of this and every post says, > we need to be able to proceed from an empty R environment to wherever you

HI, Dear R community, How to extract the variables actually used in tree construction? I want to extract these variables and combine other variable as my features in next step model building. > printcp(fit.dimer) Classification tree: rpart(formula = outcome ~ ., data = p_df, method = "class") Variables actually used in tree construction: [1] CT DP DY FC NE NW QT SK TA WC WD WG WW

Your example is incomplete... as the bottom of this and every post says, we need to be able to proceed from an empty R environment to wherever you are having the problem (reproducible), in as few steps as possible (minimal). The example needs to include data, preferably in R syntax as the dput function creates... see the howtos referenced below for help with that. [1], [2], [3] You also need to

Hi all I have this server with some 50TB disk space. It originally had 30TB on WD Greens, was filled quite full, and another storage chassis was added. Now, space problem gone, fine, but what about speed? Three of the VDEVs are quite full, as indicated below. VDEV #3 (the one with the spare active) just spent some 72 hours resilvering a 2TB drive. Now, those green drives suck quite hard, but not

Hi all I have installed a new server with 77 2TB drives in 11 7-drive RAIDz2 VDEVs, all on WD Black drives. Now, it seems two of these drives were bad, one of them had a bunch of errors, the other was very slow. After zfs offlining these and then zfs replacing them with online spares, resilver ended and I thought it''d be ok. Appearently not. Albeit the resilver succeeds, the pool status

Hi, there I am a graduate student new to coding in S who is hitting a bit of a wall at present using an "optim" function. I am running into some troubles, and was hoping someone might be able to recognize where I am going wrong. As background: I have constructed a loop that carries out a 365-day calculation for a mass-balance model. Basically, the model depends on 2 variables (p,