search for: 0.031

I'd vote for it to stay. It could of course suprise someone who'd expect c(list(a=1), b=2, use.names = FALSE) to generate list(a=1, b=2, use.names=FALSE). On the upside, is the performance gain from using use.names=FALSE. Below benchmarks show that the combining of the names attributes themselves takes ~20-25 times longer than the combining of the integers themselves. Also, at no

Hi I have setup software RAID two years ago using FC3 using the graphical installer (RAID1). In the mean time I installed CENTOS4.5 and everything is running fine. At least that was my perception. It now turns out that raid is not working and that LVS just finds 4 partitions from four disks and that's it.: /dev/sda2 VolGroup00 lvm2 a- 94.88G 0 /dev/sdb1 VolGroup00 lvm2 a-

>From comments in http://stackoverflow.com/questions/24815572/why-does-function-c-accept-an-undocumented-argument/24815653 : The code of c() and unlist() was formerly shared but has been (long time passing) separated. From July 30, 1998, is where do_c got split into do_c and do_unlist. With the implementation of 'c.Date' in R devel r71350, an argument named 'use.names' is

I'd expect that a lot of the performance overhead could be eliminated by simply improving the underlying code. IMHO, we should ignore it in deciding the API that we want here. On Fri, Sep 23, 2016 at 10:54 AM, Henrik Bengtsson <henrik.bengtsson at gmail.com> wrote: > I'd vote for it to stay. It could of course suprise someone who'd > expect c(list(a=1), b=2, use.names =

Hello, I have a basic question. Sorry if it is so evident.... I have the following data file : http://ekumen.homelinux.net/mydata.txt I need to model Y~X-1 (simple linear regression through the origin) with these data : load(file="mydata.txt") X=k[,1] Y=k[,2] aa=lm(Y~X-1) dev.new() plot(X,Y,log="xy") abline(aa,untf=T) abline(b=0.0235, a=0,col="red",untf=T)

Hi R user I need to read in some values from a computer program output. I can't change the output format because the developer of the program doesn't allow to change the format of output. There are two formats. First one looks like this if I have 10 variables, ------------------------------------------------------------------------------------------------------ [ 1]

Dear R-users, I'm studing a DB, structured like this (just a little part of my dataset): _____________________________________________________________________________________________________________ Site Latitude Longitude Year Tot-Prod Total_Density dmp Dendoudi-1 15.441964 -13.540179 2005 3271.16 1007 16993.25 Dendoudi-2 15.397321 -13.611607

On Mon, Apr 13, 2009 at 12:41 PM, Dan Dube <ddube-at-advisen.com> wrote: > i use tapply and by often, but i always end up banging my head against > the wall with the output. The proposed solution of Dan's problem posted on R-help was: > do.call(rbind,a) When I use this 'solution' I get 'ERROR: second argument must be a list'. So head on wall continues. My

Dear R users, I am not good in R-language programming. So, i need your help. I want to convert my lower-triangle value of symmetry matrix into a vector with their row and column name. I found a function called "sm2vec" in "corpcor" package but it give only a vector of values but not row and column names. But i also want ROW and COLUMN name together with their corresponding

In S-PLUS 3.4 help on 'c' (http://www.uni-muenster.de/ZIV.BennoSueselbeck/s-html/helpfiles/c.html), there is no 'use.names' argument. Because 'c' is a generic function, I don't think that changing formal arguments is good. In R devel r71344, 'use.names' is not an argument of functions 'c.Date', 'c.POSIXct' and 'c.difftime'. Could

Hello, I have a multi-year dataset (see below) with date, a data value and a flag for the data value. I want to find the monthly median for each month in this dataset and then plot it. If anyone has suggestions they would be greatly apperciated. It should be noted that there are some dates with no values and they should be removed. Thanks Emily > print ( str(data$flow$daily) )

OK, Let's try this again! Here is the reproducible script; it is long because I had to copy the panel dataset here. My question is related to systemfit; I don't know how to get the result for the entire panel. #Reproducible script Empdata<- read.csv("/Users/ngwinuiazenui/Documents/UPLOADemp.csv") View(Empdata) install.packages("systemfit")

Sadly you failed to set your email program to send plain text and the data is corrupted at my end. I also think you need to reduce the size of the data set... the intent here is to increase your understanding, not debug your particular analysis. I will say that I am having a very challenging time understanding what you are trying to accomplish though. What are the equations that you think need

Hello, I hesitate to call this a bug, because I could have forgotten something important, but the MarkowitzPortfolio example in fPortfolio does not work for me. Here's my code: > library(fPortfolio) > >xmpPortfolio("\nStart: Load monthly data set of returns > ") > data(berndtInvest) > # Exclude Date, Market and Interest Rate columns from data

Dear R-Helpers, I've looked high and low for a function that provides frequencies, proportions and cumulative proportions side-by-side. Below is the table I need. Is there a function that already does it? Thanks, Bob > # Generate some test scores > myValues <- c(70:95) > Score <- ( sample( myValues, size=1000, replace=TRUE) ) > head(Score) [1] 77 71 81 88 83 93 > >

... and the mailing list is picky about attachments... whatever you attached did not conform to the stringent requirements mentioned in the Posting Guide. Pasting the code right into the email is usually safest, though you DO have to post using plain text (as the Posting Guide indicates) or your code may get mangled by the automatic html format removal. On May 15, 2018 7:04:31 AM PDT, Bert Gunter

I can't get my simultaneous equations to work using system fit. Please help. #Reproducible script Empdata<- read.csv("/Users/ngwinuiazenui/Documents/UPLOADemp.csv") View(Empdata) str(Empdata) Empdata$gnipc<-as.numeric(Empdata$gnipc) install.packages("systemfit") library("systemfit") pdata <- plm.data(Empdata,

Unless there is good reason not to, always cc the list -- there are lots of smarter folks than I on it who can help. I may or may not have time to look at this. Hopefully someone else will. -- Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip

  Dear R helpers   Suppose I have two sets of ranges (interest rates) as   Range 1 : (7 – 7.50, 7.50 – 8.50, 8.50 – 10.00) with respective probabilities 0.42, 0.22 and 0.36.     Range II : (11-12, 12-14, 14-21) with respective probabilities 0.14, 0.56 and 0.30 respectively.     My problem is to form the combinations of these ranges in a decreasing order of joint probabilities. It is assumed that

Hello. A couple of years ago I installed two file-servers using kickstart. The server has two 1TB sata disks with two software raid1 partitions as follows: # cat /proc/mdstat Personalities : [raid1] md1 : active raid1 sdb4[1] sda4[0] 933448704 blocks [2/2] [UU] md0 : active raid1 sdb1[1] sda2[2](F) 40957568 blocks [2/1] [_U] Now the drives are starting to be failing and next week