similar to: Newbie question - how to do it 'right'

On 2/23/07, Reid Spencer <rspencer at reidspencer.com> wrote: > > However, if I run the AutoRegen.sh script (after modifying it to > > accept autoconf 2.61, which I think is fine as gentoo slots it the > > same as the 2.5[0-9] versions), the configure no longer works: > > ~/programming/llvm-1.9/projects/zhe $ cd autoconf/ > >

Hello Scott, On Wed, 2007-02-21 at 18:57 -0500, me22 wrote: > I'm trying to follow docs/Projects.html to use llvm in a project of my own. > > If I just copy the sample directory, running configure in the new one > works fine: > ~/programming/llvm-1.9/projects $ cp -a sample/ zhe > ~/programming/llvm-1.9/projects $ cd zhe/ > ~/programming/llvm-1.9/projects/zhe $

I'm trying to follow docs/Projects.html to use llvm in a project of my own. If I just copy the sample directory, running configure in the new one works fine: ~/programming/llvm-1.9/projects $ cp -a sample/ zhe ~/programming/llvm-1.9/projects $ cd zhe/ ~/programming/llvm-1.9/projects/zhe $ ./configure configure: creating ./config.status config.status: creating Makefile.common config.status:

just having finished this *MOST* frustrating exercise, here's what i ended up doing. i downloaded a file from the hp ftp site called: hpwj_solaris_en.tar.Z (see http://whp-web1.extweb.hp.com/cposupport/networking/software/SOLd615.PKG.html ) this is a complete configuration setup utility that configures your solaris machine to serve the printer. and then you point samba to the solaris

This doesn't seem to be happening on MacOS, neither in Terminal nor RStudio, (R 3.5.1, R-devel, R-patched). So probably Windows specific. -pd > On 7 Feb 2019, at 11:17 , David Byrne <david.byrne222 at gmail.com> wrote: > > Bug > Using read.table(file, encoding="UTF-8") to import a UTF-8 encoded > file containing the infinity symbol (' ? ') results in

Bug Using read.table(file, encoding="UTF-8") to import a UTF-8 encoded file containing the infinity symbol (' ? ') results in the infinity symbol imported as the number 8. Other Unicode characters seem unaffected, example, Zhe: ? Expected Behavior: The imported data.frame should represent the infinity symbol as the expected 'Inf' so that normal mathematical operations

There seems to be something odd with "?" on Windows (and not only with read.table) In native encoding (cp-1252 in my case), "?" gets converted to "8" x <- "?" Encoding(x) #> [1] "unknown" print(x) #> [1] "8" charToRaw(x) #> [1] 38 "?" is indeed "8" identical(x, "8") #> [1] TRUE Everything

Tomas, > In my scenario, the conversion is invoked by RGui before returning the input to the main R loop, even before the input gets to the parser. In principle, we could change this particular conversion in RGui to avoid the substitution. Not sure whether I am missing something here, but I used RStudio for my examples (I should have said) and David's mentioned RStudio as well, so it does

I can confirm that it doesn't happen on Ubuntu 18.04.1 so Peter is most likely correct; it looks like its Windows specific. On Thu, 7 Feb 2019 at 12:55, peter dalgaard <pdalgd at gmail.com> wrote: > > This doesn't seem to be happening on MacOS, neither in Terminal nor RStudio, (R 3.5.1, R-devel, R-patched). So probably Windows specific. > > -pd > > > On 7 Feb

I can reproduce this behavior on my Windows 10 system in RGui (cp1252): when I paste the Unicode infinity symbol into the console, it is treated as number 8. This is caused by Windows "best fit" default behavior in conversion of unicode characters to characters in the current native encoding: at some point in the past, 8 has been chosen as a good fit for infinity in Windows. In my

Hi. I have had this URL passed to me in order to obtain the necessary driver to connect my R application to our Teradata warehouse, however, the URL does not seem to exist anymore, my internet explorer browser fails to connect for some reason. http://downloads.teradata.com/download/applications/teradata-r/1.0 Is there an alternative site or location for obtaining the necessary driver? Thanks

Hi Don, wow, you are so right. I picked that piece up from the bloggers tutorial and since I am R naive yet, I thought it was all one step moving_average = forecast(ma(tdat[1:31], order=2), h=5) Truly, I usually print and check at every step I can, as painful as it is sometimes. Great lesson for this novice usR. So the first and last values are NA in each case? Do you know why? Should I replace

Dear Sir / Madam, I am new for R coding. Kindly help me out in sorting out the following problem. There are 50 rows with six coloumns(you could see in the attached .txt file). I wish to go for filtering this 50 rows for any one of the six coloumns satisfying the value >= 64. I need to have a final table with rows having >= 64 value in any one of the six coloumns and the rest could be

Instead of Tsp = c(2016, 2018, 12) try Tsp = c(2016, 2018.25, 12) Hence, you can specify the object as structure(c(5973156.76, 5159011.2, 6695766.64, 6365359, 6495218.53, 7226302.39, 6835272.7, 7383501.57, 6962748.19, 7623278.72, 7274994.33, 7919421.8, 7360740.81, 7436693.35, 8545765.55, 7337269.76, 8180585.44, 8376635.05, 7758261.24, 10374641.22, 8000314.11, 9114958.9, 9805149.15,

Hi. I am trying to follow this forecasting tutorial at: https://www.r-bloggers.com/basic-forecasting/ Using my own data, I cannot get past the first step, lots of laughs. dat3 <- structure(c(5973156.76, 5159011.20, 6695766.64, 6365359.00, 6495218.53, 7226302.39, 6835272.70, 7383501.57, 6962748.19, 7623278.72, 7274994.33 ,7919421.80, 7360740.81, 7436693.35,

As I want to generate code for the varaible declaration, at first, I thought AllocInstruction()could implement this. However, the name "alloc" seems to allocate memory from heap memory.and the local variable in function should stay at stack memory. In which way did llvm allocate memeory to AllocInstruction() ? Would the memory allocated by AllocInstruction() be recycled back? If not

Hello Don, thank you for your response. I appreciate your help. I am using the forecast package, originally I found it following a forecasting example on bloggers.com https://www.r-bloggers.com/time-series-analysis-using-r-forecast-package/ And subsequently located the complete pdf https://cran.r-project.org/web/packages/forecast/forecast.pdf Since I created this practice data using the

As of R 1.7.0, princomp no longer accept matrices with more coloumns than rows. I'm curious: Why was this decision made? I work a lot with data where more coloumns than rows is more of a rule than an exception (for instance spectroscopic data). To me, princomp have two advantages above prcomp: 1) It has a predict method, and 2) it has a biplot method. A biplot method shouldn't be too

Good morning, I hope someone can help with these questions, or perhaps suggest one of the other R-lists? I have two questions: 1. Why am I getting this warning? 2. Why is the second example "Point Forecast" the same value, I do not see that in previous attempts with similar but different data sets as in example 1? Example1: dat3 <- structure(c(3539122.86, 3081383.87,

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 Ok...did some checking. I forgot to mention that I killed dead syslogd. Not just a -HUP but an actual kill and restarted. I did this several times. I was trying to get something else to work. Anyway, I killed it again this morning and restarted. The infect message went away immediately. Could this have been the problem? -