search for: dataset

...e procedure that gives rise to the problem: > rm(list=ls()) > gc() used (Mb) gc trigger (Mb) max used (Mb) Ncells 921231 49.2 1476915 78.9 1166886 62.4 Vcells 792872 6.1 565291490 4312.9 690075184 5264.9 > load_data() Processing object: avg_anm_aud_lp ...... its a dataset...Dataset has ID83886080 Dataset has tid 50332028 Dataset has space id 67108866 Dataset has rank 3 Dataset has dims/maxdims: 501 62 297 / 501 62 297 501 62 297 Tidying name avg_anm_aud_lp .. to avg.anm.aud.lp ...Finished dataset Processing object: avg_anm_lp ...... its a dataset...Datas...

...fset 184000000000 spacemap 0 free 256G metaslab 98 offset 188000000000 spacemap 0 free 256G metaslab 99 offset 18c000000000 spacemap 0 free 256G metaslab 100 offset 190000000000 spacemap 0 free 256G Dataset mos [META], ID 0, cr_txg 4, 342M, 923 objects Object lvl iblk dblk dsize lsize %full type 0 2 16K 16K 501K 2.02M 22.36 DMU dnode 1 1 16K 16K 10.5K 32K 100.00 object directory 2 1 16K 512 0 512 0.00 DSL...

Een ingesloten tekst met niet-gespecificeerde tekenset is van het bericht gescrubt ... Naam: niet beschikbaar Url: https://stat.ethz.ch/pipermail/r-help/attachments/20071029/b29e9bd5/attachment.pl

We''re starting to grow our ZFS environment and really need to start standardizing our monitoring procedures. OS tools are great for spot troubleshooting and sar can be used for some trending, but we''d really like to tie this into an SNMP based system that can generate graphs for us (via RRD or other). Whether or not we do this via our standard enterprise monitoring tool or

Full_Name: John P Cavanaugh Version: .99 OS: linux Submission from: (NULL) (24.116.10.99) dataset$ema12 <- EMA (dataset$Close,12) dataset$ema26 <- EMA (dataset$Close,26) dataset$MACD_fast <- dataset$ema26 - dataset$ema12 dataset$MACD_slow <- EMA(dataset$MACD_fast,9) dataset$MACD_hist <- dataset$MACD_fast - dataset$MACD_slow # This line doesnt work!!! But... if I does work if...

Dear, I have a dataset with 4 subjects (see ID in example), and 4 treatment (see TRT in example) which are tested on 2 locations and in 3 blocs. By using Lattice dotplot, I made a graph that shows the raw data per location and per bloc. In that graph, I would like to have a reference line per bloc that refers to the...

Hello all, I hope some of you can come to my rescue, yet again. I have two genetic datasets, and I want one of the datasets to have only the columns that are in common with the other dataset. Here is a toy example (my real datasets have hundreds of columns): Dataset 1: Individual SNP1 SNP2 SNP3 SNP4 SNP5 1 A G T C A 2 T C A G T 3 A C...

I've used the HDF5 library to bring some data into R. THe verbose output looks like this: > hdf5load("hdfGraphWed_Mar_16_13_33_37_2005.hdf",load=T,verbosity=1,tidy=T) Processing object: cprSeats ...... which is a Group Processing object: Seats 0 ...... its a dataset......Finished dataset Processing object: Seats 1 ...... its a dataset......Finished dataset Processing object: Seats 2 ...... its a dataset......Finished dataset Processing object: Seats 3 ...... its a dataset......Finished dataset Processing object: Seats 4 ...... its a dataset......Finished datas...

Hi everyone, Suppose I have a 3D array of datasets, where say dimension 1 corresponds to cases, dimension 2 to datasets, and dimension 3 to observations within a dataset. As an example, suppose I do the following: > x <- sample(1:20, 48, replace=TRUE) > datasets <- array(x, dim=c(4,3,2)) Here, for each j=1,2,3, I'd like to think...

Hi, a simple question.. is add dataset not part of zonecfg ? global# zonecfg -z myzone (OK) zonecfg:myzone> add dataset (fails as there is no dataset option) zonecfg:myzone> add zfs (fails as there is no dataset option) Basically how do I add a dataset to a zone ? Thanks Roshan please cc me pererar at visa.com

...lysis. I am stating that a data point is an outlier if its studentized residual is above or below 3 and -3, respectively. The code below is what i have thus far for the function x = c(1:20) y = c(1,3,4,2,5,6,18,8,10,8,11,13,14,14,15,85,17,19,19,20) data1 = data.frame(x,y) rm.outliers = function(dataset,dependent,independent){ dataset$predicted = predict(lm(dependent~independent)) dataset$stdres = rstudent(lm(dependent~independent)) m = 1 for(i in 1:length(dataset$stdres)){ dataset$outlier_counter[i] = if(dataset$stdres[i] >= 3 | dataset$stdres[i] <= -3) {m} else{0}...

...4-hour periods. The date and time of sample collection are in a combined Date/Time field in the format yyyy-mm-dd hh:mm:ss. I need to be able to subset the data for analysis of different date and time windows. Thus far, I have tried casting the Date/Time field using several approaches, such as: DataSet$NewDateTime <- strptime(DataSet$DateTime, '%Y-%m-%d %H:%M:%S') DataSet$NewDateTime <- as.POSIXlt(strptime(DataSet$DateTime, '%Y-%m-%d %H:%M:S')) These instructions seem to cast the NewDateTime field correctly (at least it appears to be in the correct format, and I assume R se...

Hello, I have a dataset with 40 variables, some of them are always 0 (each row). I would like to make a subset containing only the columns which values are not all 0, but I don't know how to do it. I tried: for(cut_column in 1:40) { if(sum(dataset[,cut_column])!=0) { columns_useful<-c(columns_useful,datase...

Hi everybody, Actually, we know that If we create a dataset in R ,after closing the session the dataset automatically is closed. I tried for creating dataset permanently in R.I am facing the problem of creating permanent dataset. can we create dataset permanently If possible? Could somebody help me out in this aspect,plz? Any help would be appreciated. Th...

Hi everybody, Actually, we know that If we create a dataset in R ,after closing the session the dataset automatically is closed. I tried for creating dataset permanently in R.I am facing the problem of creating permanent dataset. can we create dataset permanently If possible? Could somebody help me out in this aspect,plz? Any help would be appreciated. Th...

...ellis plots barchart style (horizontal bar), with levels of one variable (ie. variable “colour” in my example) as ylab and frequency as xlab on each trellis plot. The trellis plots is separated based on levels of another variable ie variable “id” in my example. . For example, library(lattice) dataset.frame <- data.frame(id=c("a","b","c","a","c","b","a"),colour=c("blue","green","red","red","red","green","green"))) barchart(dataset.frame$colour|dataset.fr...

Hi, actually while opening R console and R commander we see some packages like car and datasets. in this packages we have default datasets are available. example: women and prestige like that. now i created a sales dataset importing from excel, xml or text file. now i want to store that dataset permanently in any one of the package like i mentioned above (car or datasets). now i closed my R...

Our Query: Actually while opening R console and R commander we see some packages like car and datasets. In these packages we have default datasets. For example: "Women" and "Prestige" so on. Now we created a "Sales" dataset importing either from excel, xml or text file. Now we are trying to store that dataset permanently in any one of the packages mentioned above (ca...

I was asked by a coworker about recovering destroyed datasets on ZFS - and whether it is possible at all? As a related question, if a filesystem dataset was recursively destroyed along with all its snapshots, is there some means to at least find some pointers whether it existed at all? I remember "zpool import -D" can be used to import whole de...

Hello, I do some computations on datasets that come from climate models. These data are huge arrays, significantly larger than typically available RAM, so they have to be accessed row-by-row, or rather slice-by slice, depending on the task. I would like to make an R package to easily access such datasets within R. The C++ backend is ready...