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...which use the same package libraries [the package is the thing in the library, which is tied to the filesystem] on the same machine (I'm thinking real, but this shouldn't be a problem with a reasonable VM setup either) Michael On Fri, Jun 15, 2012 at 3:05 AM, <ANGELO.LINARDI@bancaditalia.it> wrote: > > 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...

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

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 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

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

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

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

I want to take the first row of each unique ID value from a data frame. For instance > ddTable <- data.frame(Id=c(1,1,2,2),name=c("Paul","Joe","Bob","Larry")) I want a dataset that is Id Name 1 Paul 2 Bob > unique(ddTable) Will give me all 4 rows, and > unique(ddTable$Id) Will give me c(1,2), but not accompanied by the name column.

Hi guys, I have samba 3.0.24 on AIX 5.3 ML 6 and sometimes in smbd.log, I found many entry like this : get_print_db: malloc fail ! To recover situation, smbd must be restarted. Any idea ? bye ** Le e-mail provenienti dalla Banca d'Italia sono trasmesse in buona fede e non comportano alcun vincolo ne' creano obblighi per la Banca stessa, salvo che cio' non sia espressamente