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I have not found an easy way to compress a file on filesystem. Especially I'd like to compress a pdf from pdf() function/device. Is it possible to compress It on the flight? I'd like to do something like: pdf(gzipconnection()) dev.off() If It is not possible, how can I create a gzip with the pdf? Thanks Daniele A. ________________________________ ORS Srl Via Agostino Morando 1/3

Please, help me. I had a trouble in downloading from CRAN the package "untb". Everything seems to work. I type >install.packages(c(untb)) after selecting the CRAN mirror and I get a message of successful downloading. Indeed I have the package in the library and if I check with command > library() I see untb among the various packages. But, when I type the command:

I'm wondering how to save an object (models like lm, loess, etc) in a DB to retrieve and use it afterwards, an example: wind_ms <- abs(rnorm(24*30)*4+8) air_kgm3 <- rnorm(24*30, 0.1)*0.1 + 1.1 wind_dg <- rnorm(24*30) * 360/7 ms <- c(0:25) kw_mm92 <- c(0,0,0,20,94,205,391,645,979,1375,1795,2000,2040) kw_mm92 <- c(kw_mm92, rep(2050, length(ms)-length(kw_mm92))) modelspline

Hello, I've found this information about asterisk and LDAP: http://www.voip-info.org/wiki/index.php?page=Asterisk+LDAP which can be out of date. I'm trying this http://www.mezzo.net/asterisk/app_ldap.html however I'm facing the same problems as this unanswered: http://forums.digium.com/viewtopic.php?p=42591&sid=05e1d00ab6f9848f4e7b6 39d66cc6d79 Does anybody know how to solve this

Good morning, I am facing a problem very easy to solve with a program, but not too easy (at least IMHO) with a "declarative" approach. I have a dataframe df with some information about bank branches with a validity time associated (start date/end date, format YYYY-MM-DD) to some attributes (for example number of employees assigned). The following example will clarify this

Here is my problem: Autoregressive models are very interesting in forecasting consumptions (eg water, gas etc). Generally time series of this type have a long history with relatively simple patterns and can be useful to add external regressors for calendar events (holydays, vacations etc). arima() is a very powerful function but kalman filter is very slow (and I foun difficulties of estimation)

Dear R experts, I am trying to solve this problem, related to the possibility of changing the shape of a data frame using a "pivoting-like" function. I have a dataframe df of observations as follows: ID VALIDITY YEAR PROPERTY PROPERTY VALUE A1 2007 P1 V1 A1 2007 P2 V2 A1 2007 P3 V3 A1 2008 P1 V10 A1 2008 P2 V20 A2 2007 P5 V50 A2 2008 P6 V20 A3 2007

Good morning. I have a real fuzzy question to ask; we have a calculation engine which is composed by n virtual machines each of them with a jvm 2GB of memory on Linux Red Hat each of them with the "R" package which comes along with the Red Hat Linux distribution. We have now to increase the number of "nodes" trying to avoid to use new virtual or physical machines. So my

Good morning, I am a new R user and I am trying to learn how to use it. I am trying to solve this problem. I have a dataframe df of daily securities (for a year) earnings as follows: SEC_ID DAY EARNING IT0000001 20070101 5.467 IT0000001 20070102 5.456 IT0000001 20070103 4.954 IT0000001 20070104 3.456 .......................... IT0000002 20070101 1.456 IT0000002 20070102 1.345

Dear R experts, I am currently facing a tricky problem which I have read a lot about in the various R mailing lists without finding exactly what I need. I have a big data frame DF (about 2,000,000 rows) with 7 columns being variables and 1 being a measure (using reshape package nomeclature). There are no "duplicates" in it. Fot each of the variables I have some "rules" to

I have data for different items (ID) in a database. For each ID I have to get: - Timestamp of the observation (timestamp); - numerical value (val) that will be my response variable in some kind of model; - a variable number of variables in a know set (if value for a specific variable is not present in DB it is 0). To get to the above mentioned values I have to cycle

Dear R experts, I have a problem in modifying one column of a dataframe with a datatime format using a datetime operator. Here is my dataframe A: DATACONT PROVINCIA VALORE 1 2007-12-31 MI 1 2 2007-12-31 PV 2 3 2007-12-31 NA 3 4 2007-12-31 MI 4 5 2007-12-31 RM 5 6 2007-12-31 RM 6 7 2007-12-31 MI 7 8

Dear all, first of all I apologize for not having changed the object. I just re-used an old email I sent some time ago. The let us go into the question. Our architecture is the following: A (set of) java programs running under a jvm that passes data and instructions to an R instance via RNI and at the end of the process extracts calculated data from R. The question is: can I

I?m wondering which is the most efficient (time, than memory usage) way to obtain a multivariate time series object from a data frame (the easiest data structure to get data from a database trough RODBC). I have a starting point using timeSeries or xts library (these libraries can handle time zones), below you can find code to test. Merging parallelization (cbind) is something I?m thinking at

...per l'uso del wiki. La mailing list centos-doc non serve soltanto per chiedere i permessi necessari per scrivere sul wiki ma ? anche il luogo delle discussioni sulla documentazioni di CentOS e sulla qualit? degli articoli del wiki. Inizialmente i permessi di modifica saranno accordati solo su alcune sezioni del wiki (principalmente le pagine che creerete). Quando avrete postato un numero significativo di contribuiti vi daremo la possibilit? di mantenerli aggiornati. A meno che non siate uno sviluppatore di CentOS, non aspettavi di avere accesso completo al wiki. Come gi? detto: siamo realme...

Hello, I'm trying to encode a raw audio file (16kHz or 22050Hz, stereo) in an ogg file by using vorbis-java library. I always obtain an error when calling: encoder.vorbis_encode_init_vbr( vorbisInfo, 2, 22050, 1); The error is: Exception in thread "main" java.lang.ArrayIndexOutOfBoundsException: 1 at org.xiph.libvorbis.vorbisenc.get_setup_template(vorbisenc.java:321) at

Egregio Signore, mi permetto di disturbarLa per fornirLe alcune informazioni riguardanti i servizi internet oggi presenti sul mercato. Navigando sulla rete mi sono accorto che i costi, per pubblicare e mantenere un sito aziendale o personale, sono ancora molto elevati rispetto alla qualita' offerta. Inoltre moltissimi siti già presenti sulla rete sono svil...

Dear friends, I have install the last version 2.10 and now I have probles with 'mgcv' which can be load. I proved to eliminated and reinstalled but always obtain the same message: > library (mgcv) This is mgcv 1.6-1. For overview type `help("mgcv-package")'. Error in runif(1) : .Random.seed is not an integer vector but of type 'list' Error : .onAttach non

Hi, I have to connect to MSSQL server to get some TimeSeries value (datetime, float) on output. Datetime data type in R is a POSIXct date with information about timezone, daylight or solar time. In the DB I have not this kind of information and this cause some problem at the change of time for energy savings. Any idea on how to connect and have an simple and clear interpretation of date (without

I have installed various pc with the version Syslinux 3.31 without particular problems. Trying new 3.52 or 3.36 the PC does not leave more giving the message Returning to the previous version all it resumes to work correctly. What I have mistaken? Thanks. _____________________________________________________ Fabrizio Guerriero EDP Manager C.C.M. Coop.Cartai Modenese Soc.coop. Via F.