similar to: homogenized cells problem with IF

Buenas a todos. Estoy realizando unos ajustes a una serie de valores mensuales maximos con ismev. Los resultados son muy buenos. Por definicion, los valores que obtengo del ajuste de la funcion de distribucion GEV, me dan valores de periodos de retorno medios para los niveles de retorno que estudio. El problema es que estos valores son los medios esperables para esos periodos de retorno y yo, lo

Hello. I use Centos 4.4 on desktop now and I was looking for gnome-commander, I see that RHEL or any RHEL based distro provides RPMs, only FC5 and FC7. Also Dag repository have this only for FC1. I would like know if there is anyo ther package better or similar to this, or any other package similar to Norton Commander. Thanks Josep --------------------------------- LLama Gratis a

I have a piece of code as the one at the bottom, unfortunately since it involves time series from a db it's not easy to give to mailing list a working script. It becomes very slow after few hundred iterations over variable sp (must process several thousands). The Rprof() indicates that the problem is the use of gc(). Can someone indicate what I have to take care of not to call gc() so often?

Thanks for the reprex. Wouldn't have bothered without it. The following is I believe **almost** what you want. It seems a bit clumsy to me, so others may provide you something neater. But anyway... ## Convert POSIXct vector to dates ## There are 22 different days, not 21 date <- as.Date(prec_idx) ## Sum results by date at each i,j of the last 2 array dimensions z <-

Using the small reproducible example below, I'm wondering how best to complete the following task: In the small reproducible example below, the 3D array prec has indexes that correspond to time, x, y (i.e., prec[time, x, y]). In this case, the time index is hours since some predefined start time. I'd like to add up all the time indexes in 'prec' based on whether or not the

Hi, I have a FreeBSD 4.1.1-RELEASE and samba-2.2.4 installed in my server, I have a printer configured and working through samba. My problem is, when I reboot my server, my Windows 2000 with service pack 2, can't print anymore, when I sent a printer job, there is no error, but nothing appear on printer, the other shares area ok, and I can get files from this shares. Then I restart the

If I want to use fbml elements and rails tags, is there a way to do within a fb:editor? if I do: <% facebook_form_for(:task, at task,:url => create_task_path) do |f| %> Assign Task To: <%= fb_friend_selector %> <%=f.text_field :ttype, :label=> "Title"%> <%=text_field_tag :newrnumdays, ndays, :label => "# Days"%>

I have several too and I also see this problem on occasion. Like you say, it is fairly rare and I can't pinpoint a cause or tell if it is a symptom of something else. I think I wrote to tech support about it but never heard anything. I'm wondering how long they will continue to support the phone. -Nate > -----Original Message----- > From: Jerry Geis

Carlos A. P. Cunha via samba wrote: > For me, is "magic line" > > find $DEST -depth -mtime +$DAYS -print -delete ---- I'm guessing you probably want 'ctime' there. If you use mtime, then it will be deleted "ndays" after the last modification date on the file -- NOT the time the file was moved into the recycle bin. If you use ctime - that

Hello I'm a new in R I have a large data.frame "s" (this is actualy just a table in mysql) : > names(s) [1] "symbols", "day", "value" I need to convert it to simple matrix. I have define this matrix like this: > data.matrix <- matrix(nrow=nDays, ncol=nSymbols, dimnames=list(days, symbols)) then i just copy values to the matrix using for()

Hi, I have a very large XTS object. It is about 600,000 entries over 1 year time. I would like to subset a specific piece, by "number of days" not a specific date. The way I do it now is awkward. Would love to find a way to do this easier to generate a new object just containing the days I want. --------------------------------------- dayEnds <- endpoints(dataset,

Hi One of the most important calculation in applied finance is the number of days between dates. That kind of calculus become annoying when a specific calendar must be used. That is the case for the business days calculus. The package timeDate has a function isBizday to perform that kind of thing. The problem is that using this function to calculate the number of business days between dates has

Hello, This must be set in LDAP: sambaPwdCanChange=1 ;or you will never be asked to change your password sambaPwdLastSet=0 sambaPwdMustChange=0; on my Suse this must be set too try it out for your machine And how you' ve been told the sambaMaxPwdAge must be set. Greetings Daniel -----Urspr?ngliche Nachricht----- Von: samba-bounces+mueller=tropenklinik.de@lists.samba.org

In the example in the documentation, I see: rs <- dbSendQuery(con, "select Agent, ip_addr, DATA from pseudo_data order by Agent") out <- dbApply(rs, INDEX = "Agent", FUN = function(x, grp) quantile(x$DATA, names=FALSE)) Maybe I am a bit thick, but it took me a while, and a kind hint from Phil, to figure much of this out. It is clear that the SQL

Hi folks, One feature I've wanted in rsync is the ability to delete files that no longer exist in the source *after some specified grace period.* The functionality I'm looking for is a backup system that won't actually delete files until a week or two after the user does. This would: 1. Protect against accidental file deletions; the user would have some time to realize the

I am trying something I haven't attempted before and the available documentation doesn't quite answer my questions (at least in a way I can understand). My usual course of action would be to extract my data from my DB, do whatever manipulation is necessary, either manually or using a C++ program, and then import the data into R. Now I need to try to do it all within R+RMySQL+MySQL. I

I'm new to R. I'm extracting important columns from single table using following code: File2<-"file.txt" table2<- read.delim(File2, skip=19, sep=";", header=F, na.strings=NA, fill=T) #extracting column 7 where rows match "ID" col1<- table2[grep("ID", table2[,1]),7] #similarly extracting column 9,11,13,15 col2<-

I have a script for dual internet connections that does this: ------------------------- #!/bin/bash IF1=eth1 IP1=203.219.190.106 P1=203.219.190.105 P1_NET=203.219.190.104 IF2=eth2 IP2=220.245.224.46 P2=220.245.224.45 P2_NET=220.245.224.44 IF0=eth0 P0_net=192.168.0.0 TABLE1=inet1 TABLE2=inet2 ip route add $P1_NET dev $IF1 src $IP1 table $TABLE1 ip route add default via $P1 table $TABLE1 ip

I was hoping someone would be able to help me with creating a method. I have two tables. What I am trying to do is create a list of all the id''s from table2 that aren''t currently referenced by Table1''s address_id column. That way, when I create a new customer I can have a drop down list in the view of all the addresses that are not currently being used. ##### Database

Hi, I have following 2 tables: Table 1: POSTAL | VALUE 1000|49 1010|100 1020|50 Table 2: INSEE | POSTAL A|1000 B|1000 C|1010 D|1020 I would like to convert this to the following: INSEE | VALUE_SPREAD A|24.5 B|24.5 C|100 D|50 I can achieve this with a nested SQL query (through counting the number of POSTAL that belong to any given INSEE, and diving the value of the postal in that INSEE by