I am currently playing/ trying out RApache- one more excellent R product from Vanderbilt’s excellent Dept of Biostatistics and it’s prodigious coder Jeff Horner.
I really liked the virtual machine idea- you can download a virtual image of Rapache and play with it- .vmx is easy to create and great to share-
Basically using R Apache (with an EC2 on backend) can help you create customized dashboards, BI apps, etc all using R’s graphical and statistical capabilities.
Rapache embeds the R interpreter inside the Apache 2 web server. By doing this, Rapache realizes the full potential of R and its facilities over the web. R programmers configure appache by mapping Universal Resource Locaters (URL’s) to either R scripts or R functions. The R code relies on CGI variables to read a client request and R’s input/output facilities to write the response.
One advantage to Rapache’s architecture is robust multi-process management by Apache. In contrast to Rserve and RSOAP, Rapache is a pre-fork server utilizing HTTP as the communications protocol. Another advantage is a clear separation, a loose coupling, of R code from client code. With Rserve and RSOAP, the client must send data and R commands to be executed on the server. With Rapache the only client requirements are the ability to communicate via HTTP. Additionally, Rapache gains significant authentication, authorization, and encryption mechanism by virtue of being embedded in Apache.
Existing Demos of Architechture based on R Apache-
You can download version 1.1.10 of rApache now. There
are only two significant changes and you don’t have to edit your
apache config or change any code (just recompile rApache and
reinstall):
1) Error reporting should be more informative. both when you
accidentally introduce errors in the Apache config, and when your code
introduces warnings and errors from web requests.
I’ve struggled with this one for awhile, not really knowing what
strategy would be best. Basically, rApache hooks into the R I/O layer
at such a low level that it’s hard to capture all warnings and errors
as they occur and introduce them to the user in a sane manner. In
prior releases, when ROutputErrors was in effect (either the apache
directive or the R function) one would typically see a bunch of grey
boxes with a red outline with a title of RApache Warning/Error!!!.
Unfortunately those grey boxes could contain empty lines, one line of
error, or a few that relate to the lines in previously displayed
boxes. Really a big uninformative mess.
The new approach is to print just one warning box with the title
“”Oops!!! <b>rApache</b> has something to tell you. View source and
read the HTML comments at the end.” and then as the title implies you
can read the HTML comment located at the end of the file… after the
closing html. That way, you’re actually reading how R would present
the warnings and errors to you as if you executed the code at the R
command prompt. And if you don’t use ROutputErrors, the warning/error
messages are printed in the Apache log file, just as they were before,
but nicer 😉
2) Code dispatching has changed so please let me know if I’ve
introduced any strange behavior.
This was necessary to enhance error reporting. Prior to this release,
rApache would use R’s C API exclusively to build up the call to your
code that is then passed to R’s evaluation engine. The advantage to
this approach is that it’s much more efficient as there is no parsing
involved, however all information about parse errors, files which
produced errors, etc. were lost. The new approach uses R’s built-in
parse function to build up the call and then passes it of to R. A
slight overhead, but it should be negligible. So, if you feel that
this approach is too slow OR I’ve introduced bugs or strange behavior,
please let me know.
FUTURE PLANS
I’m gaining more experience building Debian/Ubuntu packages each day,
so hopefully by some time in 2011 you can rely on binary releases for
these distributions and not install rApache from source! Fingers
crossed!
Development on the rApache 1.1 branch will be winding down (save bug
fix releases) as I transition to the 1.2 branch. This will involve
taking out a small chunk of code that defines the rApache development
environment (all the CGI variables and the functions such as
setHeader, setCookie, etc) and placing it in its own R package…
unnamed as of yet. This is to facilitate my development of the ralite
R package, a small single user cross-platform web server.
The goal for ralite is to speed up development of R web applications,
take out a bit of friction in the development process by not having to
run the full rApache server. Plus it would allow users to develop in
the rApache enronment while on windows and later deploy on more
capable server environments. The secondary goal for ralite is it’s use
in other web server environments (nginx and IIS come to mind) as a
persistent per-client process.
And finally, wiki.rapache.net will be the new www.rapache.net once I
translate the manual over… any day now.
If you use Windows for your stats computing and your data is in a database (probably true for almost all corporate business analysts) R 2.12 has provided a unique procedural hitch for you NO BINARIES for packages used till now to read from these databases.
The Readme notes of the release say-
Packages related to many database system must be linked to the exact
version of the database system the user has installed, hence it does
not make sense to provide binaries for packages
RMySQL, ROracle, ROracleUI, RPostgreSQL
although it is possible to install such packages from sources by
install.packages('packagename', type='source')
after reading the manual 'R Installation and Administration'.
So how to connect to Databases if the Windows Binary is not available-
So how to connect to PostgreSQL and MySQL databases.
Fortunately the RpgSQL package is still available for PostgreSQL
Using the RpgSQL package
library(RpgSQL)
#creating a connection
con <- dbConnect(pgSQL(), user = "postgres", password = "XXXX",dbname="postgres")
#writing a table from a R Dataset
dbWriteTable(con, "BOD", BOD)
# table names are lower cased unless double quoted. Here we write a Select SQL query
dbGetQuery(con, 'select * from "BOD"')
#disconnecting the connection
dbDisconnect(con)
You can also use RODBC package for connecting to your PostgreSQL database but you need to configure your ODBC connections in
Windows Start Panel-
Settings-Control Panel-
Administrative Tools-Data Sources (ODBC)
You should probably see something like this screenshot.
Coming back to R and noting the name of my PostgreSQL DSN from above screenshot-( If not there just click on add-scroll to appropriate database -here PostgreSQL and click on Finish- add in the default values for your database or your own created database values-see screenshot for help with other configuring- and remember to click Test below to check if username and password are working, port is correct etc.
so once the DSN is probably setup in the ODBC (frightening terminology is part of databases)- you can go to R to connect using RODBC package
#loading RODBC
library(RODBC)
#creating a Database connection
# for username,password,database name and DSN name
chan=odbcConnect("PostgreSQL35W","postgres;Password=X;Database=postgres")
#to list all table names
sqlTables(chan)
TABLE_QUALIFIER TABLE_OWNER TABLE_NAME TABLE_TYPE REMARKS
1 postgres public bod TABLE
2 postgres public database1 TABLE
3 postgres public tt TABLE
and then we run the same configuring DSN as we did for postgreSQL.
After that we use RODBC in pretty much the same way except changing for the default username and password for MySQL and changing the DSN name for the previous step.
channel <- odbcConnect("mysql","jasperdb;Password=XXX;Database=Test")
test2=sqlQuery(channel,"select * from jiuser")
test2
id username tenantId fullname emailAddress password externallyDefined enabled previousPasswordChangeTime1 1 jasperadmin 1 Jasper Administrator NA 349AFAADD5C5A2BD477309618DC NA 01
2 2 joe1ser 1 Joe User NA 4DD8128D07A NA 01
odbcClose(channel)
While using RODBC for all databases is a welcome step, perhaps the change release notes for Window Users of R may need to be more substantiative than one given for R 2.12.2
Note- for some strange reason I continue to be on top ranked LibreOffice blogs- maybe because I write more on the software itself than on Oracle politics or coffee spillovers.
LibreOffice Beta 2 is ready and I just installed it on Windows 7 – works nice- and I somehow think open Office and Google needs an example to stop being so scary on cautioning—— hey,hey it’s a beta – (do you see Oracle saying this release is a beta or Windows saying hey this Windows Vista is a beta for Windows 7- No right?)-
see screenshot of solver in LibreOffice spreadsheet -works just fine.
We cant wait for Chromium OS and LibreOffice integration (or Google Docs-LibreOffice integration) so Google starts thinking on those lines (of course
Google also needs to ramp up Google Storage and Google Predict API– but dude are you sure you wanna take on Amazon, Oracle and MS and Yahoo and Apple at the same time. Dear Herr Schmidt- Last German Guy who did that , ended up in a bunker in Berlin. (Ever since I had to pay 50 euros as Airline Transit fee -yes Indian passport holders have to do that in Germany- I am kind of non objective on that issue)
Google Management is busy nowadays thinking of trying to beat Facebook -hint -hint-
-buy out the biggest app makers of Facebook apps and create an api for Facebook info download and upload into Orkut –maybe invest like an angel in that startup called Diaspora http://www.joindiaspora.com/) see-
Back to the topic (and there are enough people blogging on Google should or shouldnt do)
-LibreOffice aesthetically rocks! It has a cool feel.
As you can see I used the Chrome Extension for Google Translate for an instant translation from German into English (though it still needs some work, Herr Translator)
Back to actually working on LibreOffice- if Word and Powerpoint is all you do- save some money for Christmas and download it today from
and as per http://cran.r-project.org/src/base/NEWS
the answer is plenty is new in the newR.
While you and me, were busy writing and reading blogs, or generally writing code for earning more money, or our own research- Uncle Peter D and his band of merry men have been really busy in a much more upgraded R.
————————————–
CHANGES————————-
NEW FEATURES:
• Reading a packages's CITATION file now defaults to ASCII rather
than Latin-1: a package with a non-ASCII CITATION file should
declare an encoding in its DESCRIPTION file and use that encoding
for the CITATION file.
• difftime() now defaults to the "tzone" attribute of "POSIXlt"
objects rather than to the current timezone as set by the default
for the tz argument. (Wish of PR#14182.)
• pretty() is now generic, with new methods for "Date" and "POSIXt"
classes (based on code contributed by Felix Andrews).
• unique() and match() are now faster on character vectors where
all elements are in the global CHARSXP cache and have unmarked
encoding (ASCII). Thanks to Matthew Dowle for suggesting
improvements to the way the hash code is generated in unique.c.
• The enquote() utility, in use internally, is exported now.
• .C() and .Fortran() now map non-zero return values (other than
NA_LOGICAL) for logical vectors to TRUE: it has been an implicit
assumption that they are treated as true.
• The print() methods for "glm" and "lm" objects now insert
linebreaks in long calls in the same way that the print() methods
for "summary.[g]lm" objects have long done. This does change the
layout of the examples for a number of packages, e.g. MASS.
(PR#14250)
• constrOptim() can now be used with method "SANN". (PR#14245)
It gains an argument hessian to be passed to optim(), which
allows all the ... arguments to be intended for f() and grad().
(PR#14071)
• curve() now allows expr to be an object of mode "expression" as
well as "call" and "function".
• The "POSIX[cl]t" methods for Axis() have been replaced by a
single method for "POSIXt".
There are no longer separate plot() methods for "POSIX[cl]t" and
"Date": the default method has been able to handle those classes
for a long time. This _inter alia_ allows a single date-time
object to be supplied, the wish of PR#14016.
The methods had a different default ("") for xlab.
• Classes "POSIXct", "POSIXlt" and "difftime" have generators
.POSIXct(), .POSIXlt() and .difftime(). Package authors are
advised to make use of them (they are available from R 2.11.0) to
proof against planned future changes to the classes.
The ordering of the classes has been changed, so "POSIXt" is now
the second class. See the document ‘Updating packages for
changes in R 2.12.x’ on for
the consequences for a handful of CRAN packages.
• The "POSIXct" method of as.Date() allows a timezone to be
specified (but still defaults to UTC).
• New list2env() utility function as an inverse of
as.list() and for fast multi-assign() to existing
environment. as.environment() is now generic and uses list2env()
as list method.
• There are several small changes to output which ‘zap’ small
numbers, e.g. in printing quantiles of residuals in summaries
from "lm" and "glm" fits, and in test statisics in print.anova().
• Special names such as "dim", "names", etc, are now allowed as
slot names of S4 classes, with "class" the only remaining
exception.
• File .Renviron can have architecture-specific versions such as
.Renviron.i386 on systems with sub-architectures.
• installed.packages() has a new argument subarch to filter on
sub-architecture.
• The summary() method for packageStatus() now has a separate
print() method.
• The default summary() method returns an object inheriting from
class "summaryDefault" which has a separate print() method that
calls zapsmall() for numeric/complex values.
• The startup message now includes the platform and if used,
sub-architecture: this is useful where different
(sub-)architectures run on the same OS.
• The getGraphicsEvent() mechanism now allows multiple windows to
return graphics events, through the new functions
setGraphicsEventHandlers(), setGraphicsEventEnv(), and
getGraphicsEventEnv(). (Currently implemented in the windows()
and X11() devices.)
• tools::texi2dvi() gains an index argument, mainly for use by R
CMD Rd2pdf.
It avoids the use of texindy by texinfo's texi2dvi >= 1.157,
since that does not emulate 'makeindex' well enough to avoid
problems with special characters (such as (, {, !) in indices.
• The ability of readLines() and scan() to re-encode inputs to
marked UTF-8 strings on Windows since R 2.7.0 is extended to
non-UTF-8 locales on other OSes.
• scan() gains a fileEncoding argument to match read.table().
• points() and lines() gain "table" methods to match plot(). (Wish
of PR#10472.)
• Sys.chmod() allows argument mode to be a vector, recycled along
paths.
• There are |, & and xor() methods for classes "octmode" and
"hexmode", which work bitwise.
• Environment variables R_DVIPSCMD, R_LATEXCMD, R_MAKEINDEXCMD,
R_PDFLATEXCMD are no longer used nor set in an R session. (With
the move to tools::texi2dvi(), the conventional environment
variables LATEX, MAKEINDEX and PDFLATEX will be used.
options("dvipscmd") defaults to the value of DVIPS, then to
"dvips".)
• New function isatty() to see if terminal connections are
redirected.
• summaryRprof() returns the sampling interval in component
sample.interval and only returns in by.self data for functions
with non-zero self times.
• print(x) and str(x) now indicate if an empty list x is named.
• install.packages() and remove.packages() with lib unspecified and
multiple libraries in .libPaths() inform the user of the library
location used with a message rather than a warning.
• There is limited support for multiple compressed streams on a
file: all of [bgx]zfile() allow streams to be appended to an
existing file, but bzfile() reads only the first stream.
• Function person() in package utils now uses a given/family scheme
in preference to first/middle/last, is vectorized to handle an
arbitrary number of persons, and gains a role argument to specify
person roles using a controlled vocabulary (the MARC relator
terms).
• Package utils adds a new "bibentry" class for representing and
manipulating bibliographic information in enhanced BibTeX style,
unifying and enhancing the previously existing mechanisms.
• A bibstyle() function has been added to the tools package with
default JSS style for rendering "bibentry" objects, and a
mechanism for registering other rendering styles.
• Several aspects of the display of text help are now customizable
using the new Rd2txt_options() function.
options("help_text_width") is no longer used.
• Added \href tag to the Rd format, to allow hyperlinks to URLs
without displaying the full URL.
• Added \newcommand and \renewcommand tags to the Rd format, to
allow user-defined macros.
• New toRd() generic in the tools package to convert objects to
fragments of Rd code, and added "fragment" argument to Rd2txt(),
Rd2HTML(), and Rd2latex() to support it.
• Directory R_HOME/share/texmf now follows the TDS conventions, so
can be set as a texmf tree (‘root directory’ in MiKTeX parlance).
• S3 generic functions now use correct S4 inheritance when
dispatching on an S4 object. See ?Methods, section on “Methods
for S3 Generic Functions†for recommendations and details.
• format.pval() gains a ... argument to pass arguments such as
nsmall to format(). (Wish of PR#9574)
• legend() supports title.adj. (Wish of PR#13415)
• Added support for subsetting "raster" objects, plus assigning to
a subset, conversion to a matrix (of colour strings), and
comparisons (== and !=).
• Added a new parseLatex() function (and related functions
deparseLatex() and latexToUtf8()) to support conversion of
bibliographic entries for display in R.
• Text rendering of \itemize in help uses a Unicode bullet in UTF-8
and most single-byte Windows locales.
• Added support for polygons with holes to the graphics engine.
This is implemented for the pdf(), postscript(),
x11(type="cairo"), windows(), and quartz() devices (and
associated raster formats), but not for x11(type="Xlib") or
xfig() or pictex(). The user-level interface is the polypath()
function in graphics and grid.path() in grid.
• File NEWS is now generated at installation with a slightly
different format: it will be in UTF-8 on platforms using UTF-8,
and otherwise in ASCII. There is also a PDF version, NEWS.pdf,
installed at the top-level of the R distribution.
• kmeans(x, 1) now works. Further, kmeans now returns between and
total sum of squares.
• arrayInd() and which() gain an argument useNames. For arrayInd,
the default is now false, for speed reasons.
• As is done for closures, the default print method for the formula
class now displays the associated environment if it is not the
global environment.
• A new facility has been added for inserting code into a package
without re-installing it, to facilitate testing changes which can
be selectively added and backed out. See ?insertSource.
• New function readRenviron to (re-)read files in the format of
~/.Renviron and Renviron.site.
• require() will now return FALSE (and not fail) if loading the
package or one of its dependencies fails.
• aperm() now allows argument perm to be a character vector when
the array has named dimnames (as the results of table() calls
do). Similarly, array() allows MARGIN to be a character vector.
(Based on suggestions of Michael Lachmann.)
• Package utils now exports and documents functions
aspell_package_Rd_files() and aspell_package_vignettes() for
spell checking package Rd files and vignettes using Aspell,
Ispell or Hunspell.
• Package news can now be given in Rd format, and news() prefers
these inst/NEWS.Rd files to old-style plain text NEWS or
inst/NEWS files.
• New simple function packageVersion().
• The PCRE library has been updated to version 8.10.
• The standard Unix-alike terminal interface declares its name to
readline as 'R', so that can be used for conditional sections in
~/.inputrc files.
• ‘Writing R Extensions’ now stresses that the standard sections in
.Rd files (other than \alias, \keyword and \note) are intended to
be unique, and the conversion tools now drop duplicates with a
warning.
The .Rd conversion tools also warn about an unrecognized type in
a \docType section.
• ecdf() objects now have a quantile() method.
• format() methods for date-time objects now attempt to make use of
a "tzone" attribute with "%Z" and "%z" formats, but it is not
always possible. (Wish of PR#14358.)
• tools::texi2dvi(file, clean = TRUE) now works in more cases (e.g.
where emulation is used and when file is not in the current
directory).
• New function droplevels() to remove unused factor levels.
• system(command, intern = TRUE) now gives an error on a Unix-alike
(as well as on Windows) if command cannot be run. It reports a
non-success exit status from running command as a warning.
On a Unix-alike an attempt is made to return the actual exit
status of the command in system(intern = FALSE): previously this
had been system-dependent but on POSIX-compliant systems the
value return was 256 times the status.
• system() has a new argument ignore.stdout which can be used to
(portably) ignore standard output.
• system(intern = TRUE) and pipe() connections are guaranteed to be
avaliable on all builds of R.
• Sys.which() has been altered to return "" if the command is not
found (even on Solaris).
• A facility for defining reference-based S4 classes (in the OOP
style of Java, C++, etc.) has been added experimentally to
package methods; see ?ReferenceClasses.
• The predict method for "loess" fits gains an na.action argument
which defaults to na.pass rather than the previous default of
na.omit.
Predictions from "loess" fits are now named from the row names of
newdata.
• Parsing errors detected during Sweave() processing will now be
reported referencing their original location in the source file.
• New adjustcolor() utility, e.g., for simple translucent color
schemes.
• qr() now has a trivial lm method with a simple (fast) validity
check.
• An experimental new programming model has been added to package
methods for reference (OOP-style) classes and methods. See
?ReferenceClasses.
• bzip2 has been updated to version 1.0.6 (bug-fix release).
--with-system-bzlib now requires at least version 1.0.6.
• R now provides jss.cls and jss.bst (the class and bib style file
for the Journal of Statistical Software) as well as RJournal.bib
and Rnews.bib, and R CMD ensures that the .bst and .bib files are
found by BibTeX.
• Functions using the TAR environment variable no longer quote the
value when making system calls. This allows values such as tar
--force-local, but does require additional quotes in, e.g., TAR =
"'/path with spaces/mytar'".
DEPRECATED & DEFUNCT:
• Supplying the parser with a character string containing both
octal/hex and Unicode escapes is now an error.
• File extension .C for C++ code files in packages is now defunct.
• R CMD check no longer supports configuration files containing
Perl configuration variables: use the environment variables
documented in ‘R Internals’ instead.
• The save argument of require() now defaults to FALSE and save =
TRUE is now deprecated. (This facility is very rarely actually
used, and was superseded by the Depends field of the DESCRIPTION
file long ago.)
• R CMD check --no-latex is deprecated in favour of --no-manual.
• R CMD Sd2Rd is formally deprecated and will be removed in R
2.13.0.
PACKAGE INSTALLATION:
• install.packages() has a new argument libs_only to optionally
pass --libs-only to R CMD INSTALL and works analogously for
Windows binary installs (to add support for 64- or 32-bit
Windows).
• When sub-architectures are in use, the installed architectures
are recorded in the Archs field of the DESCRIPTION file. There
is a new default filter, "subarch", in available.packages() to
make use of this.
Code is compiled in a copy of the src directory when a package is
installed for more than one sub-architecture: this avoid problems
with cleaning the sources between building sub-architectures.
• R CMD INSTALL --libs-only no longer overrides the setting of
locking, so a previous version of the package will be restored
unless --no-lock is specified.
UTILITIES:
• R CMD Rprof|build|check are now based on R rather than Perl
scripts. The only remaining Perl scripts are the deprecated R
CMD Sd2Rd and install-info.pl (used only if install-info is not
found) as well as some maintainer-mode-only scripts.
*NB:* because these have been completely rewritten, users should
not expect undocumented details of previous implementations to
have been duplicated.
R CMD no longer manipulates the environment variables PERL5LIB
and PERLLIB.
• R CMD check has a new argument --extra-arch to confine tests to
those needed to check an additional sub-architecture.
Its check for “Subdirectory 'inst' contains no files†is more
thorough: it looks for files, and warns if there are only empty
directories.
Environment variables such as R_LIBS and those used for
customization can be set for the duration of checking _via_ a
file ~/.R/check.Renviron (in the format used by .Renviron, and
with sub-architecture specific versions such as
~/.R/check.Renviron.i386 taking precedence).
There are new options --multiarch to check the package under all
of the installed sub-architectures and --no-multiarch to confine
checking to the sub-architecture under which check is invoked.
If neither option is supplied, a test is done of installed
sub-architectures and all those which can be run on the current
OS are used.
Unless multiple sub-architectures are selected, the install done
by check for testing purposes is only of the current
sub-architecture (_via_ R CMD INSTALL --no-multiarch).
It will skip the check for non-ascii characters in code or data
if the environment variables _R_CHECK_ASCII_CODE_ or
_R_CHECK_ASCII_DATA_ are respectively set to FALSE. (Suggestion
of Vince Carey.)
• R CMD build no longer creates an INDEX file (R CMD INSTALL does
so), and --force removes (rather than overwrites) an existing
INDEX file.
It supports a file ~/.R/build.Renviron analogously to check.
It now runs build-time \Sexpr expressions in help files.
• R CMD Rd2dvi makes use of tools::texi2dvi() to process the
package manual. It is now implemented entirely in R (rather than
partially as a shell script).
• R CMD Rprof now uses utils::summaryRprof() rather than Perl. It
has new arguments to select one of the tables and to limit the
number of entries printed.
• R CMD Sweave now runs R with --vanilla so the environment setting
of R_LIBS will always be used.
C-LEVEL FACILITIES:
• lang5() and lang6() (in addition to pre-existing lang[1-4]())
convenience functions for easier construction of eval() calls.
If you have your own definition, do wrap it inside #ifndef lang5
.... #endif to keep it working with old and new R.
• Header R.h now includes only the C headers it itself needs, hence
no longer includes errno.h. (This helps avoid problems when it
is included from C++ source files.)
• Headers Rinternals.h and R_ext/Print.h include the C++ versions
of stdio.h and stdarg.h respectively if included from a C++
source file.
INSTALLATION:
• A C99 compiler is now required, and more C99 language features
will be used in the R sources.
• Tcl/Tk >= 8.4 is now required (increased from 8.3).
• System functions access, chdir and getcwd are now essential to
configure R. (In practice they have been required for some
time.)
• make check compares the output of the examples from several of
the base packages to reference output rather than the previous
output (if any). Expect some differences due to differences in
floating-point computations between platforms.
• File NEWS is no longer in the sources, but generated as part of
the installation. The primary source for changes is now
doc/NEWS.Rd.
• The popen system call is now required to build R. This ensures
the availability of system(intern = TRUE), pipe() connections and
printing from postscript().
• The pkg-config file libR.pc now also works when R is installed
using a sub-architecture.
• R has always required a BLAS that conforms to IE60559 arithmetic,
but after discovery of more real-world problems caused by a BLAS
that did not, this is tested more thoroughly in this version.
BUG FIXES:
• Calls to selectMethod() by default no longer cache inherited
methods. This could previously corrupt methods used by as().
• The densities of non-central chi-squared are now more accurate in
some cases in the extreme tails, e.g. dchisq(2000, 2, 1000), as a
series expansion was truncated too early. (PR#14105)
• pt() is more accurate in the left tail for ncp large, e.g.
pt(-1000, 3, 200). (PR#14069)
• The default C function (R_binary) for binary ops now sets the S4
bit in the result if either argument is an S4 object. (PR#13209)
• source(echo=TRUE) failed to echo comments that followed the last
statement in a file.
• S4 classes that contained one of "matrix", "array" or "ts" and
also another class now accept superclass objects in new(). Also
fixes failure to call validObject() for these classes.
• Conditional inheritance defined by argument test in
methods::setIs() will no longer be used in S4 method selection
(caching these methods could give incorrect results). See
?setIs.
• The signature of an implicit generic is now used by setGeneric()
when that does not use a definition nor explicitly set a
signature.
• A bug in callNextMethod() for some examples with "..." in the
arguments has been fixed. See file
src/library/methods/tests/nextWithDots.R in the sources.
• match(x, table) (and hence %in%) now treat "POSIXlt" consistently
with, e.g., "POSIXct".
• Built-in code dealing with environments (get(), assign(),
parent.env(), is.environment() and others) now behave
consistently to recognize S4 subclasses; is.name() also
recognizes subclasses.
• The abs.tol control parameter to nlminb() now defaults to 0.0 to
avoid false declarations of convergence in objective functions
that may go negative.
• The standard Unix-alike termination dialog to ask whether to save
the workspace takes a EOF response as n to avoid problems with a
damaged terminal connection. (PR#14332)
• Added warn.unused argument to hist.default() to allow suppression
of spurious warnings about graphical parameters used with
plot=FALSE. (PR#14341)
• predict.lm(), summary.lm(), and indeed lm() itself had issues
with residual DF in zero-weighted cases (the latter two only in
connection with empty models). (Thanks to Bill Dunlap for
spotting the predict() case.)
• aperm() treated resize = NA as resize = TRUE.
• constrOptim() now has an improved convergence criterion, notably
for cases where the minimum was (very close to) zero; further,
other tweaks inspired from code proposals by Ravi Varadhan.
• Rendering of S3 and S4 methods in man pages has been corrected
and made consistent across output formats.
• Simple markup is now allowed in \title sections in .Rd files.
• The behaviour of as.logical() on factors (to use the levels) was
lost in R 2.6.0 and has been restored.
• prompt() did not backquote some default arguments in the \usage
section. (Reported by Claudia Beleites.)
• writeBin() disallows attempts to write 2GB or more in a single
call. (PR#14362)
• new() and getClass() will now work if Class is a subclass of
"classRepresentation" and should also be faster in typical calls.
• The summary() method for data frames makes a better job of names
containing characters invalid in the current locale.
• [[ sub-assignment for factors could create an invalid factor
(reported by Bill Dunlap).
• Negate(f) would not evaluate argument f until first use of
returned function (reported by Olaf Mersmann).
• quietly=FALSE is now also an optional argument of library(), and
consequently, quietly is now propagated also for loading
dependent packages, e.g., in require(*, quietly=TRUE).
• If the loop variable in a for loop was deleted, it would be
recreated as a global variable. (Reported by Radford Neal; the
fix includes his optimizations as well.)
• Task callbacks could report the wrong expression when the task
involved parsing new code. (PR#14368)
• getNamespaceVersion() failed; this was an accidental change in
2.11.0. (PR#14374)
• identical() returned FALSE for external pointer objects even when
the pointer addresses were the same.
• L$a@x[] <- val did not duplicate in a case it should have.
• tempfile() now always gives a random file name (even if the
directory is specified) when called directly after startup and
before the R RNG had been used. (PR#14381)
• quantile(type=6) behaved inconsistently. (PR#14383)
• backSpline(.) behaved incorrectly when the knot sequence was
decreasing. (PR#14386)
• The reference BLAS included in R was assuming that 0*x and x*0
were always zero (whereas they could be NA or NaN in IEC 60559
arithmetic). This was seen in results from tcrossprod, and for
example that log(0) %*% 0 gave 0.
• The calculation of whether text was completely outside the device
region (in which case, you draw nothing) was wrong for screen
devices (which have [0, 0] at top-left). The symptom was (long)
text disappearing when resizing a screen window (to make it
smaller). (PR#14391)
• model.frame(drop.unused.levels = TRUE) did not take into account
NA values of factors when deciding to drop levels. (PR#14393)
• library.dynam.unload required an absolute path for libpath.
(PR#14385)
Both library() and loadNamespace() now record absolute paths for
use by searchpaths() and getNamespaceInfo(ns, "path").
• The self-starting model NLSstClosestX failed if some deviation
was exactly zero. (PR#14384)
• X11(type = "cairo") (and other devices such as png using
cairographics) and which use Pango font selection now work around
a bug in Pango when very small fonts (those with sizes between 0
and 1 in Pango's internal units) are requested. (PR#14369)
• Added workaround for the font problem with X11(type = "cairo")
and similar on Mac OS X whereby italic and bold styles were
interchanged. (PR#13463 amongst many other reports.)
• source(chdir = TRUE) failed to reset the working directory if it
could not be determined - that is now an error.
• Fix for crash of example(rasterImage) on x11(type="Xlib").
• Force Quartz to bring the on-screen display up-to-date
immediately before the snapshot is taken by grid.cap() in the
Cocoa implementation. (PR#14260)
• model.frame had an unstated 500 byte limit on variable names.
(Example reported by Terry Therneau.)
• The 256-byte limit on names is now documented. • Subassignment by [, [[ or $ on an expression object with value
NULL coerced the object to a list.
John Sall, founder SAS AND JMP , has released the latest blockbuster edition of flagship of JMP 9 (JMP Stands for John’s Macintosh Program).
To kill all birds with one software, it is integrated with R and SAS, and the brochure frankly lists all the qualities. Why am I excited for JMP 9 integration with R and with SAS- well it integrates bigger datasets manipulation (thanks to SAS) with R’s superb library of statistical packages and a great statistical GUI (JMP). This makes JMP the latest software apart from SAS/IML, Rapid Miner,Knime, Oracle Data Miner to showcase it’s R integration (without getting into the GPL compliance need for showing source code– it does not ship R- and advises you to just freely download R). I am sure Peter Dalgaard, and Frankie Harell are all overjoyed that R Base and Hmisc packages would be used by fellow statisticians and students for JMP- which after all is made in the neighborhood state of North Carolina.
Best of all a JMP 30 day trial is free- so no money lost if you download JMP 9 (and no they dont ask for your credit card number, or do they- but they do have a huuuuuuge form to register before you download. Still JMP 9 the software itself is more thoughtfully designed than the email-prospect-leads-form and the extra functionality in the free 30 day trial is worth it.
R is a programming language and software environment for statistical computing and graphics. JMP now supports a set of JSL functions to access R. The JSL functions provide the following options:
• open and close a connection between JMP and R
• exchange data between JMP and R
•submit R code for execution
•display graphics produced by R
JMP and R each have their own sets of computational methods.
R has some methods that JMP does not have. Using JSL functions, you can connect to R and use these R computational methods from within JMP.
Textual output and error messages from R appear in the log window.R must be installed on the same computer as JMP.
though probably they are not creating a movie on Jim yet (imagine a movie titled “The Statistical Software” -not just the same dude feel as “The Social Network”)
Announcement from Code Ninjas at Document Foundation
10 years after the StarOffice code has been opened as OpenOffice.org, The Document Foundation is proud to announce the availability of LibreOffice Beta 2 for public testing. Please, download the suitable package(s) from
This beta release is not intended for production use!
There are a number of known issues being worked on:
The Windows build is an International build – you can choose the user interface language that is suitable for you, but the help is always English. We are currently working on improving the delivery mechanism to be able to provide you with the localized help. We are also working on smaller problems like wrong description of several languages.
The Linux and MacOSX builds are English builds with the possibility to install language packs. Please browse the archives to get the langugage pack you need for your platform.
The LibreOffice branding and renaming is new and work in progress. You may still see old graphics, icons or websites. So please bear with us. This also applies to the BrOffice.org branding – applicable in Brazil.
Filters for the legacy StarOffice binary formats are missing.
I tested it- it seems okay enough. Once again Open Source tends to underplay expectations (when was the last time you saw that in enterprise software?)
A new report from Linux Foundation found significant growth trends for enterprise usage of Linux- which should be welcome to software companies that have enabled Linux versions of software, service providers that provide Linux based consulting (note -lesser competition, lower overheads) and to application creators.
Key Findings from the Report
• 79.4 percent of companies are adding more Linux relative to other operating systems in the next five years.
• More people are reporting that their Linux deployments are migrations from Windows than any other platform, including Unix migrations. 66 percent of users surveyed say that their Linux deployments are brand new (“Greenfield”) deployments.
• Among the early adopters who are operating in cloud environments, 70.3 percent use Linux as their primary platform, while only 18.3 percent use Windows.
• 60.2 percent of respondents say they will use Linux for more mission-critical workloads over the next 12 months.
• 86.5 percent of respondents report that Linux is improving and 58.4 percent say their CIOs see Linux as more strategic to the organization as compared to three years ago.
• Drivers for Linux adoption extend beyond cost: technical superiority is the primary driver, followed by cost and then security.
• The growth in Linux, as demonstrated by this report, is leading companies to increasingly seek Linux IT professionals, with 38.3 percent of respondents citing a lack of Linux talent as one of their main concerns related to the platform.
• Users participate in Linux development in three primary ways: testing and submitting bugs (37.5 percent), working with vendors (30.7 percent) and participating in The Linux Foundation activities (26.0 percent).
and from the report itself-
It is an interesting report (and for some reason in a blue font-making it more like a blue paper than a white paper)
DECISION STATS 