similar to: [LLVMdev] getelementptr with dynamic index

Hi R users, I am new to R and am trying to merge data frames in the following way. Suppose I have n data frames each with two fields. Field 1 is common among data frames but may have different entries. Field 2 is different. Data frame 1: Src Target1 1 aaa 1 bbb 1 ccc 2 aaa 3 ddd Data frame 2: Src Target2 2 aaaa 3 dddd 4 bbbb 4

I have an Adaptec 392320 Ultra320 SCSI adapter. I am running x86_64 SLES9 SP3. When I build x86_64 Xen with just the 2.6-xen kernel + initrd, I am getting the following error on the module load. But if I go back to building separate xenU and xen0 kernels without initrd the device works without any issues. Any idea what is going wrong here? Am I leaving something out of my initrd? Here is the

I am trying to download data from NASA web-service. I am using the following code; for( i in 1:8) { target1 <- paste0(" https://hydro1.gesdisc.eosdis.nasa.gov/daac-bin/access/timeseries.cgi?variable=NLDAS:NLDAS_FORA0125_H.002:TMP2m&location=GEOM:POINT( ", cities[i, "lon_nldas"], ",%20",

https://bugzilla.netfilter.org/show_bug.cgi?id=1144 Bug ID: 1144 Summary: set add always returns false or otherwise ends evaluation Product: nftables Version: unspecified Hardware: x86_64 OS: All Status: NEW Severity: normal Priority: P5 Component: kernel

Hi Thanks Gabor for your suggestion. I am posting the code that worked for me. dataframe1 = data.frame(cbind(Src = c(1,1,1,2,3), Target1 = c('aaa','bbb','ccc','aaa','ddd'))); #must be data frame dataframe2 = data.frame(cbind(Src = c(2,3,4,4,4), Target2 = c('aaaa','dddd','bbbb','eeee','ffff'))); dataframe3 =

Hi, I need some help with Portfolio Optimization problem. I am trying to find the minimum variance portfolio subjected to constraints on weights like /x1< w1 <x2 x3< w2 <x4</i> I need help with solving for the minimum variance portfolio as solve.QP doesn't allow me to specify the lower boundaries. Thanks Mahesh -- View this message in context:

Hi all, Running simulations, I'm generating market response to 2 factors X&Y.. There is no closed form for the market response.. The results are store in a matrix Z(X <- seq(.02,.98,.02), Y <- seq(.01,.19,.01)).. For optmization purpose I need to approximate the values for any factor X in 0,02-0,98 and Y in 0,01-0,19 How can I do it ? For one factor : Xn-1 < x <= Xn

I have time series observation on daily frequencies : library(zoo) SD=1 date1 = seq(as.Date("01/01/01", format = "%m/%d/%y"), as.Date("12/31/02", format = "%m/%d/%y"), by = 1) len1 = length(date1); data1 = zoo(matrix(rnorm(len1, mean=0, sd=SD*0.5), nrow = len1),  date1) plot(data1) Now I want to calculate 1. Quarterly statistics like mean, variance etc

> On Oct 15, 2017, at 2:02 PM, Miluji Sb <milujisb at gmail.com> wrote: > > Dear all, > > i am trying to download time-series climatic data from GES DISC (NASA) > Hydrology Data Rods web-service. Unfortunately, no wget method is > available. > > Five parameters are needed for data retrieval: variable, location, > startDate, endDate, and type. For example:

Patches welcome, eh, Paul? Upon further (belated) investigation, there are 2 affected places in receiver.c with this error message. Both call write_file(). And write_file is called only in those two places. So that is the appropriate location to patch. Especially since the obvious fix is to use the rewrite code already there for the sparse file writes.

Hi all, Suppose I have following dataset : library(zoo) SD = 1 date1 = seq(as.Date("01/01/90", format = "%m/%d/%y"), as.Date("12/31/08", format = "%m/%d/%y"), by = 1) len1 = length(date1); data1 = zoo(matrix(rnorm(len1, mean=0, sd=SD*0.5), nrow = len1), date1) Now I want to extract monthly observation. obs =

Hi, I have a test AD running Samba on Ubuntu that I sometimes poke with Sysinternal's ADExplorer. A few days ago I tried connecting to it, but got a short reply of "The directory service is not available." As it was working earlier, I tried finding the problem. After installing a few older releases, I found that it was working on Ubuntu 17.04, Samba 4.5.8 and stopped working on

Hello R experts! I'm running a FOR loop in which at every step an arima model is generated. The problem is some series produces numeric problems with optim. My question is if there is a way of telling to R that at every critical error of optim jumps to the next series instead of stopping the calculations. Or better yet, tell it to run another arima fit but with a different optmization

Hello, Renato > While Clang doesn’t include the TARGET2 relocation information, and that > mess up cross-linking. Is there any documentation for this stuff? -- With best regards, Anton Korobeynikov Faculty of Mathematics and Mechanics, Saint Petersburg State University

Dear David, This is amazing, thank you so much. If I may ask another question: The output looks like the following: ### dput(head(x,15)) c("Metadata for Requested Time Series:", "", "prod_name=GLDAS_NOAH025_3H_v2.0", "param_short_name=Tair_f_inst", "param_name=Near surface air temperature", "unit=K",

> On Oct 15, 2017, at 3:35 PM, Miluji Sb <milujisb at gmail.com> wrote: > > Dear David, > > This is amazing, thank you so much. If I may ask another question: > > The output looks like the following: > > ### > dput(head(x,15)) > c("Metadata for Requested Time Series:", "", "prod_name=GLDAS_NOAH025_3H_v2.0", >

I have a Dell ASC-39230(B) U320 SCSI controller. If I use the linux-2.6-xen kernel I am getting an "Invalid Sequencer interrupt" and the system hangs after this. But if I use the linux-2.6-xen0 kernel it works well. Does anyone know why this is happening and how I can make it go away? Thanks, Aravindh Puthiyaparambil Xen Development Team Unisys, Tredyffrin PA ACPI: PCI Interrupt

Hi, I ran into a crash using Objective-C with llvm/clang on ARM-Linux. The crash happens while unwinding the stack from pthread_exit as soon as the first call frame is reached that belongs to a function that uses the personality routine from libobjc2. This function is in a shared library (libgnustepbase), and here's the start of its entry in the execption table: GCC_except_table20:

I have done the following using readLines directory <- "~/" files <- list.files(directory) data_frames <- vector("list", length(files)) for (i in seq_along(files)) { df <- readLines(file.path(directory, files[i])) df <- df[-(1:13)] df <- data.frame(year = substr(df,1,4), month = substr(df, 6,7), day =

Hello all, I am not sure if this is a bug or a feature of the newly released Samba 3.0.23c. I had this samba.conf working fully ok for smbd 3.0.23b : [global] map to guest = Bad User guest account = nobody disable netbios = Yes lanman auth = No unix charset = ISO8859-15 display charset = ISO8859-15 printing = bsd workgroup = OAAD