similar to: make check fails two tests on RHEL 6 build

Hi folks, I suspect this is a request for a sanity check than a bug report: I've been successfully compiling an optimised version of R for several years using the Intel compiler and MKL. I've just test-run the new Intel 15.0 compiler suite, and I'm seeing a few numeric failures that I don't see using the same build method with Intel 13.0. I've attached the output of

The build system has rolled up R-2.15.2.tar.gz (codename "Trick or Treat") at 9:00 this morning. This is a maintenance release; see the list below for details. You can get it from http://cran.r-project.org/src/base/R-2/R-2.15.2.tar.gz or wait for it to be mirrored at a CRAN site nearer to you. Binaries for various platforms will appear in due course. For the R Core Team Peter

The build system has rolled up R-2.15.2.tar.gz (codename "Trick or Treat") at 9:00 this morning. This is a maintenance release; see the list below for details. You can get it from http://cran.r-project.org/src/base/R-2/R-2.15.2.tar.gz or wait for it to be mirrored at a CRAN site nearer to you. Binaries for various platforms will appear in due course. For the R Core Team Peter

The build system has rolled up R-2.15.2.tar.gz (codename "Trick or Treat") at 9:00 this morning. This is a maintenance release; see the list below for details. You can get it from http://cran.r-project.org/src/base/R-2/R-2.15.2.tar.gz or wait for it to be mirrored at a CRAN site nearer to you. Binaries for various platforms will appear in due course. For the R Core Team Peter

Dear R users, When I tried to use princomp() from stats packages to do Principal Components Analysis, I am not very clear what is the "scale". And the scores are different from "PROC PRINCOMP" procedure from SAS. Using the example data from this package: restpc <- princomp(USArrests, cor = TRUE) > restpc$scale Murder Assault UrbanPop Rape 4.311735 82.500075

Hello all, I'm currently using R to do PCA Analysis, and was wondering if anyone knew the specific R Code that could limit the output of the PCA Analysis so that you only get the Principal Component features as your output and none of the extraneous words or numbers that you don't want. If that was unclear, let me use linear regression as an example: "lm(y~x)" is the normal

Dear All, when I'm running a PCA with prcomp(USArrests, scale = TRUE) I get the right principal components, but with the wrong sign infront Rotation: PC1 PC2 PC3 PC4 Murder 0.5358995 -0.4181809 0.3412327 0.64922780 Assault 0.5831836 -0.1879856 0.2681484 -0.74340748 UrbanPop 0.2781909 0.8728062 0.3780158 0.13387773 Rape 0.5434321 0.1673186 -0.8177779 0.08902432 instead of PC1 PC2 PC3 PC4

Hi guys, I am new to R, so sorry if my problem seems trivial. Sometimes I encounter some lists, which I cannot index their components with [ . ] For instance the prcomp() function returns a 'prcomp' object whose components are some 'lists'. the second component is a list that comtains the following: > mylist <- churn[2] > class(mylist) [1] "list" >

So as often there is more to it than you first think. Let's consider this an RFC (for experienced long time R users) : >>>>> Martin Maechler <maechler at stat.math.ethz.ch> >>>>> on Wed, 9 Aug 2017 10:45:56 +0200 writes: >>>>> William Dunlap via R-devel <r-devel at r-project.org> >>>>> on Tue, 8 Aug 2017 11:59:45

I'd like to search for a particular string in an SQLite database using RSQLite, but I'm running into problems constructing the query properly, because of embedded quotes and parens in the string. Is there a function that escapes these for me, or some other fixup that would let me do the queries below? In the real situation I don't have control over what strings get searched for.

Hi Team, I downloaded the R 3.0.2 and, built and installed it using Intel compilers (icc and ifort) from Intel parallel studio 2013, sp1. After performing make tried to check it using 'make check'. Most of the tests passed successfully but while checking a 'stats' package I saw many lines were printed which did not match the desired output. e.g. There

I am developing an R package which includes datasets. The build and install works correctly. However, when I access the dataset ("BowRiver"), I get: > data(BowRiver) > BowRiver Error: object "BowRiver" not found. However, I can access the dataset from > data Example R datasets (such as USArrests) are loaded and can be accessed by the dataset name: >

Dear list, Being new to both the postgres database, ODBC and the RODBC interface, I am somewhat confused by some of the problems I am experiencing trying to connect R to the database. Whai I am trying is basically the example part of the help file for the sqlSave function: > library(RODBC) > odbcConnect("theodor") -> channel > data(USArrests) > sqlSave(channel,

Hi, I am running the RODBC examples form the help guide. I am trying to UPDATE a table in an Access data base but I am having an error. library(RODBC) library(termstrc) path = getwd() setwd(getwd()) dbName = "data.mdb" pathdbname = paste(path,"/",dbName,sep="") accesChannel = odbcConnectAccess(pathdbname, uid = "", pwd = "")

Hello, For basic linear regression lm() does the job well, for datasets that are larger than memory biglm() seems to work. I'm working on a parallel implementation of multiple linear regression for datasets that are too large for memory. Currently I am working over least squares: calculating: t(X) %*% X and t(X) %*% y separately in parallel on each node This generates a

Dear R-developers, I finally got around to install R 1.1.0 but had problems at the `make check' stage. After compiling the released R 1.1.0 version the `make check' stage stopped while checking the examples in base. There was some problem with the quantile function and the check stopped complaining that NA's are not allowed. But I assume that this problem is already known because

In comparing the results of princomp and prcomp I find: 1. The reported standard deviations are similar but about 1% from each other, which seems well above round-off error. 2. princomp returns what I understand are variances and cumulative variances accounted for by each principal component which are all equal. "SS loadings" is always 1. 3. Same happens

Dear R-helpers, I tried the playwith packages for the first time, and it crashed R: > require(playwith) Loading required package: playwith Loading required package: lattice Loading required package: grid Loading required package: gWidgets Loading required package: gWidgetsRGtk2 Loading required package: RGtk2 Loading required package: cairoDevice > sessionInfo() R version 2.7.1

Should arithmetic operations work on zero-column data.frames (returning a zero-column data.frame with the same number of rows as the data.frame argument(s))? Currently we get: > 1 + data.frame(row.names=c("A","B")) Error in data.frame(value, row.names = rn, check.names = FALSE, check.rows = FALSE) : row names supplied are of the wrong length >

Hi, I'm able to establish a successful odbc connection using RODBC 1.3-2 on Win 7 and R 2.12.0. But I'm getting the following error message when I try to save a data frame into the debase as shown below. library(RODBC) bbdb <- odbcConnect("bbdb") odbcGetInfo(bbdb) # returns ok sqlSave(bbdb, USArrests, rownames = "state", addPK=TRUE) # example from the RODBC manual