similar to: Problem installing packages

Hi I tried to install the sem package and it was succsessful but I keep getting the following message Paket 'sem' erfolgreich ausgepackt und MD5 Summen abgeglichen Die heruntergeladenen Pakete sind in C:\Users\Dean\AppData\Local\Temp\RtmpVRxlLZ\downloaded_packages aktualisiere HTML Paketbeschreibungen Warning message: In file.create(f.tg) : kann Datei

Dear R-Help-Team, I tried to use isoMDS-Function of the MASS-Package: Message: Fehler: konnte Funktion "isoMDS" nicht finden (error: could not find function "isoMDS") so I tried to install the package MASS: > utils:::menuInstallPkgs() versuche URL 'http://cran.rakanu.com/bin/windows/contrib/2.8/VR_7.2-45.zip' Content type 'application/zip' length 1598763

Hello, I've problems installing several packages in my R on Fedora 27 64 bit. I found out that it has to do something with a missing compiler (libgfortran.so.3, see below). It works if I downgrade the current version of libgfortran to the specified version by downloading libgfortran-6.2.1-2.fc25.x86_64.rpm and manually installing it. However, I don't want to mess up my system,

Hello, err dump [1], perhaps related [2]. Also $ sudo chown -R xyz:staff ~/R # sudo su; su xyz; groups web-content staff Not just vim-R-plugin -problem anymore, more pkg -installation -prob, doubting perms/group -issue but fixed them in accordance by Dirk's hints. What is the problem in installing packages? -- Regards, Henri Losoi -- [1] http://pastie.org/4577538 [2]

Continuing to try to customize my environment for using R under Windoze, I experimented with installing a package from CRAN in a local library ``Lib''. I created the directory ``Lib'' in the folder in which R starts, and then executed > install.packages("abind",lib="Lib") Everything went according to form (I got prompted to choose a mirror, etc.) until

Dear R-SIG-Debians, I have difficulties installing packages from within R through install.packages(). R version is 3.2.0 and OS is Linux Mint 17.1. For most packages, a lot of error messages come up which seem to be related to compilation. Installing packages provided by the ubuntu distro through apt-get works just fine. I followed all directions given in CRAN's

Hi, I would like to replace all the max values per row with "1" and all other values with "0". If there are two max values, then "0" for both. Example: from: 2 3 0 0 200 30 0 0 2 50 0 0 3 0 0 0 0 8 8 0 to: 0 0 0 0 1 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 Thanks! -- View this message in context:

Hello, i just ran into the following problem: I wanted to recursively solve equations of the type x_1[t]=x_1[t+1]+beta*x_2[t], and used a for-loop written for(j in c(1:t-1, recursive=TRUE){ ... } This didn't work, so i resolved to writing for(j in c(10,9,...,1){ which worked, but is not terribly efficient. So, what did I do wrong? Thanks in advance, Owe -- Owe Jessen Diplom-Volkswirt

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Hello, maybe this info is helpful for someone else, at least it is a reminder for me if the problem should reoccur: The last hours R drove me nuts because it wouldn't install new packages, or more irritating still: It would chose randomly which packages to install when given a list ("unable to move temporary installation" ). The solution was to turn of the indexation of

Hi, Could someone please tell me the R codes for fitting VAR(p) (Vector Auto Regressive) models and doing the Johansen?s cointegration tests. TIA Aditya

Hi all, this should be a simple question, but I haven't been able to do it right. I am trying to download multiple stock quotes in a loop, so that every timeseries is safed with the symbol of the stock. Can anybody help me out? Here's the code: require(tseries) startd <- "2000-06-01" stocks <- c("bmw.de", "vow.de", "dte.de") for(stock in

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The question is how to use a URL in place of a file= argument for read.*.functions that do not support this internally. e.g., utils::read.table() and her family all support a file= argument that can take a URL equally well as a local file. So, if I have a file on the web, I can equally well do > langren <- read.csv("langrens.csv", header=TRUE) > langren <-

Hi! I have updated our server from Samba 4 alpha 17 to Samba 4.0.1. Everything seems to work fine after some reconfiguration, but our GPOs are not working anymore. Samba 4 alpha 17 was using ntvfs and the root partition with the sysvol share was mounted with "user_xattr" only in /etc/fstab. Samba 4.0.1 is now set to use s3fs and the root partition is mouted with

Here is a version of the function scale() which may be worth adding to the distribution. No NA's yet, though. And yes, I could also write documentation if necessary ... -k *********************************************************************** scale <- function(x, center = TRUE, scale = TRUE) { x <- as.matrix(x) nc <- ncol(x) if (is.logical(center)) { if (center) x

I got this figured out much faster than I thought I would. Thanks to all of your help, Peter, Mattias, Thomas and Helmut. And Thomas, that 8 partition live OS sounds right up my alley, and I will definitely check it out. The second partition is working well with `parted' and `fdisk', so I am quite pleased. Below is, again, "what I came up with". I tried to integrate each of your

hello, i implementing a file upload using paperclip plugin. i getting the following error [1] when uploading a file. I''m using the gems rails v2.3.8 and paperclip v2.1.6. the parameter hash looks like [2], the model like [3]. Interesting is that i get two different errors, on the localhost with webrick it says: Status: 500 Internal Server Error no marshal_dump is defined for class

Hello everyone, I've tried to install the R gsl package but without success because R claims there needs to be a gsl library version >= 1.12 installed on the system. Actually gsl library version 1.12 is installed locally in my home directory and I set PATH and LD_LIBRARY_PATH in .bash_profile to point to corresponding bin and lib directory. gsl-config is accessible from everywhere in the

Before I reinvent the wheel, I have need for a relatively straightforward crosstabulation (2 x n) function. I know that R has table(), ftable(), xtabs(), and summary(xtabs()), but none of these produce a fully "tricked" out cross-tabulation with marginal totals, expected cell frequencies, and an array of statistics about the contingency table. Is there a more complete (something