similar to: How to avoid switching on input type?

require( zoo ) inp <- c( 5, 9, 4, 2, 1 ); m <- zoo( cbind( inp ), as.Date("2003-02-01") + (0:(length(inp)-1))); dim( m ) # [1] 5 1 dim( m[1,,drop=FALSE] ) # [1] 1 1 - ok dim( lag( m, -1 )) # [1] 4 1 - ok dim( rbind( m[1,,drop=FALSE], lag(m,-1) )) # NULL - converted from zoo matrix to zoo vector!?!? # any way to keep the last line as a zoo matrix??? -- View this message in

quantreg package is used. *fit1 results are* Call: rq(formula = op ~ inp1 + inp2 + inp3 + inp4 + inp5 + inp6 + inp7 + inp8 + inp9, tau = 0.15, data = wbc) Coefficients: (Intercept) inp1 inp2 inp3 inp4 inp5 -0.191528450 0.005276347 0.021414032 0.016034803 0.007510343 0.005276347 inp6 inp7 inp8 inp9 0.058708544

Hi there- What''s the easiest/most efficient way to perform a zerofill in Ruby? i.e. Given the value ''val'', I would like to do something like: val = 43 puts val.zerofill(8) ---> "00000043" gsub? sprintf of some sort? Jake -- Posted via http://www.ruby-forum.com/.

Hi all, I am trying to merge 2 big data.frame. The problem is merge is memory intensive so R is going out of memory error: cannot allocate vector of size 360.1 Mb. To overcome this, I am exploring option of using data.table package. But its not helping in term of memory as merge in data.table is fast but not memory efficient. Similar error is coming. My inputs are inp1 V1 V2 1 a i1 2 a i2 3 a

On May 7, 2010, at 9:51 AM, Nathan Jeffords wrote: >> This seems counter intuitive to me, I can understand that C assigned that behavior somewhat arbitrarily to uninitialized global variables, but in LLVM there is explicitly a common linkage attribute to get that behavior. Nothing in the llvm language reference indicates the behavior of a global with the 'internal' linkage attribute

On 7 May 2010 17:53, Chris Lattner <clattner at apple.com> wrote: > > On May 7, 2010, at 9:51 AM, Nathan Jeffords wrote: > > This seems counter intuitive to me, I can understand that C assigned that >> behavior somewhat arbitrarily to uninitialized global variables, but in LLVM >> there is explicitly a common linkage attribute to get that behavior. Nothing >>

So, a while back I got a compile error where the assembly was missing some whitespace between a .set and the identifier and tracked it down to this simple mistake that I just verified is still in the tree: Index: lib/Target/ARM/ARMTargetAsmInfo.cpp =================================================================== --- lib/Target/ARM/ARMTargetAsmInfo.cpp (revision 48700) +++

On May 7, 2010, at 10:02 AM, Aaron Gray wrote: > On 7 May 2010 17:53, Chris Lattner <clattner at apple.com> wrote: > > On May 7, 2010, at 9:51 AM, Nathan Jeffords wrote: > >>> This seems counter intuitive to me, I can understand that C assigned that behavior somewhat arbitrarily to uninitialized global variables, but in LLVM there is explicitly a common linkage

How to force R to print 2 decimal places in column of a data.frame? I tried to do so: x = inp(format(rounf(inp$Tamanho, 2), nsmall = 2),) where "INP" is data.frame and "Size" is the name of column. But has error: Error in eval.with.vis(expr, envir, enclos) : could not find function "inp" Lesandro Veja quais s?o os assuntos do momento no Yahoo! +Buscados

fit1<-rq(formula=op~inp1+inp2+inp3+inp4+inp5+inp6+inp7+inp8+inp9,tau=0.15,data=wbc) fit2<-rq(formula=op~inp1+inp2+inp3+inp4+inp5+inp6+inp7+inp8+inp9,tau=0.5,data=wbc) fit3<-rq(formula=op~inp1+inp2+inp3+inp4+inp5+inp6+inp7+inp8+inp9,tau=0.15,data=wbc) fit4<-rq(formula=op~inp1+inp2+inp3+inp4+inp5+inp6+inp7+inp8+inp9,tau=0.15,data=wbc)

On Fri, May 7, 2010 at 10:14 AM, Chris Lattner <clattner at apple.com> wrote: > > On May 7, 2010, at 10:02 AM, Aaron Gray wrote: > > On 7 May 2010 17:53, Chris Lattner <clattner at apple.com> wrote: > >> >> On May 7, 2010, at 9:51 AM, Nathan Jeffords wrote: >> >> This seems counter intuitive to me, I can understand that C assigned that

Hi, I need some help with NFSv4 setup/tuning. I have a dedicated nfs server (2 x E5-2620? 8cores/16 threads each, 64GB RAM, 1x10Gb ethernet and 16x 8TB HDD) used by two servers and a small cluster (400 cores). All the servers are running CentOS 7, the cluster is running CentOS6. Time to time on the server I get: ?kernel: NFSD: client xxx.xxx.xxx.xxx testing state ID with incorrect

I have a time series of rainfall in a dataframe. I would like to be able to aggregate this using a sliding window approach- i.e. a new 24 hourly total is calculated for each hours rainfall. I'm struggling to understand how this might be achieved - currently I've tried looping a sum function to re-calculate a new total at every stage of the loop. for (inp[[9]] in

On Tuesday 31 December 2013 14:27:11 Richard W.M. Jones wrote: > This patch assumes that iconv doesn't actually modify the > input buffer, even though it is declared as char *. > --- > [...] > @@ -51,10 +51,11 @@ _hivex_recode (char *input_encoding, const char > *input, size_t input_len, errno = err; > return NULL; > } > - char *inp = input; > + const

Le 12/05/2020 ? 16:10, James Pearson a ?crit?: > Patrick B?gou wrote: >> >> Hi, >> >> I need some help with NFSv4 setup/tuning. I have a dedicated nfs server >> (2 x E5-2620? 8cores/16 threads each, 64GB RAM, 1x10Gb ethernet and 16x >> 8TB HDD) used by two servers and a small cluster (400 cores). All the >> servers are running CentOS 7, the cluster is

I have a collection of .csv files in a directory, and want to read them into R data.frames whose names are the same as the file names, without the .csv extension e.g., from > (files <- list.files(pattern="*.csv")) [1] "Allstar.csv" "AllstarFull.csv" [3] "Appearances.csv" "AwardsManagers.csv" [5]

Dear All wonder if you could provide some insights on the following: currently I have this code which produces the expected results: require(deSolve) pars <- list(k = 0.08,v=15) intimes <- c(0,0.5,12) input <- c(800,0,0) forc <- approxfun(intimes, input, method="constant", rule=2) derivs <- function(t, state, pars) { inp <- forc(t) dy1 <- - pars$k * state[1]

Hi Orion, no, I still have this problem. I delay working on it as I the latest updates have not been installed on the server and on the client. I'll work again on this problem as soon as possible. Thanks Charles for your detailed information on how to track this problem. I'll check all these metrics. I have several clients for this nfs server and the problem seems only to occur from the

Le 13/05/2020 ? 07:32, Simon Matter via CentOS a ?crit?: >> Le 12/05/2020 ? 16:10, James Pearson a ?crit?: >>> Patrick B?gou wrote: >>>> Hi, >>>> >>>> I need some help with NFSv4 setup/tuning. I have a dedicated nfs server >>>> (2 x E5-2620? 8cores/16 threads each, 64GB RAM, 1x10Gb ethernet and 16x >>>> 8TB HDD) used by two

Le 13/05/2020 ? 02:13, Orion Poplawski a ?crit?: > On 5/12/20 2:46 AM, Patrick B?gou wrote: >> Hi, >> >> I need some help with NFSv4 setup/tuning. I have a dedicated nfs server >> (2 x E5-2620? 8cores/16 threads each, 64GB RAM, 1x10Gb ethernet and 16x >> 8TB HDD) used by two servers and a small cluster (400 cores). All the >> servers are running CentOS 7, the