search for: 0.013

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

... 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

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]

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

I am trying to learn how to format Ascii data files for scan or read into R. Precisely for a quickie project, I found some code (at end of this email) to do exactly what I need: To cluster and graph a dendrogram from package (stats). I am stuck on how to format a text file to run the script. I looked at the dataset USArrests (which would be replaced by my data and labels) using UltraEdit. That

I having problem with dendrogram leaf names when I read a tab delimited file into dataframe; I have a text file, tab delimited, using read.table into a data frame as follows: > test1<-read.table("c:\\R\\data\\Tremont4.txt", header=TRUE, sep="\t") When I do this the "test1" data frame is picking up my first column names as part of the data and not the case

En innebygd og tegnsett-uspesifisert tekst ble skilt ut... Navn: ikke tilgjengelig Nettadresse: https://stat.ethz.ch/pipermail/r-help/attachments/20060921/b479a8df/attachment.ksh

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,

It's probably PR12517. Looking at the clang binary, it's got a /home/ dir in RPATH: $ objdump -p clang+llvm-3.3rc3-Ubuntu-12.04.2-x86_64/bin/clang | grep RPATH RPATH $ORIGIN/../lib:/home/aadgrand/tmp/LLVM-3.3rc3/rc3/Phase3/Release+Asserts/llvmCore-3.3-rc3.obj/Release+Asserts/bin This will slow things down if the system tries to automount /home/aadgrand. Maybe we should merge r182559

Hello, I have a system of five equations to solve with five 'unknows'(V, W, X, Y and Z) and constraints. The equations are: 0.007= 2VZ 0.03= W(Y+Z) 0.034= X(y+Z) 0.013 = (X+W)Y +(X-W)Z X = W+V Constraints: 0<V<W<X 0<Y<Z<1 Does anyone know a R-package to solve this system? Thanks, E-mail: sebastien.puechmaille at ucd.ie

Hi all: Can someone help me count the number of rows with values in colum "a" only. assume the name of my dataframe is "weekly" I was trying i<- nrows(weekly$a) i but returns 7 when it should be 4. Thanks a b c d 27.000 27.000 1.569 0.013 160.000 27.000 1.632 0.013 146.000 27.000 1.830 0.015 70.000 27.000 2.475 0.019

Hi Bill, I was running some benchmarks and was surprised that the startup performance of your binaries is much worse than the stable binaries for 3.2 I've used: http://llvm.org/releases/3.2/clang+llvm-3.2-x86_64-linux-ubuntu-12.04.tar.gz vs http://llvm.org/pre-releases/3.3/rc3/clang+llvm-3.3rc3-Ubuntu-12.04.2-x86_64.tar.gz On a simple hello.c file: /ssd/bench$ TIMEFORMAT="%E"

Hi LLVM-ites! We are doing a quick test of 3.3rc3. Our testers did a quick turn around and created binaries which you can test. Please give them a go and let us know how they work for you. They are here: http://llvm.org/pre-releases/3.3/rc3 We don't have a lot of time remaining in the release cycle, so please do whatever you can to make sure they are solid. In particular, make sure that

On Jun 6, 2013, at 9:04 AM, Hans Wennborg <hans at chromium.org> wrote: > It's probably PR12517. > > Looking at the clang binary, it's got a /home/ dir in RPATH: > > $ objdump -p clang+llvm-3.3rc3-Ubuntu-12.04.2-x86_64/bin/clang | grep RPATH > RPATH >

Hi: I have been able to finally crunch my data by importing it by week(thank you all for your help),but here we go again.. Now I'am trying to do it for the the whole year. Since the dataset is huge I'm only making a 3 weeks dataframe. - I want to get the mean of pd by week - I want to count the number of days by week and bind it to the existing dataframe(x) - I want to remove the

I'm not sure I follow. Will the final binaries have a bad RPATH or not? A 1sec startup pause on some (admittedly crazy) systems seems like a big deal to me. On Fri, Jun 7, 2013 at 6:51 AM, Bill Wendling <wendling at apple.com> wrote: > On Jun 6, 2013, at 9:04 AM, Hans Wennborg <hans at chromium.org> wrote: > > > It's probably PR12517. > > > >

I am trying to use t.test on the following data: date type INTERVAL nCASES MTF SDF MTO SDO nFST MF nOBS MO MB BIASCV BIASEV ME MAE RMSE CRCF 2001-06-15 avn GE1.00 4385 0.246 0.300 1.502 0.556 1367 1.373 4385 1.502 1.471 0.285 0.164 -1.256 1.266 1.399 0.056 2001-06-15 avn

Dear all, I found the following behaviour with pacf() in the multivariate case, set.seed(10) x <- rnorm(1000,sd=10000) y <- rnorm(1000,sd=1) pacf(ts(cbind(x,y)),plot=FALSE,lag.max=10) Partial autocorrelations of series 'cbind(x, y)', by lag , , x x y 0.047 ( 1) 0.000 ( -1) 0.011 ( 2) 0.000 ( -2) 0.005 ( 3) 0.000 ( -3) 0.013 ( 4)

Dear R users, I have a huge database and I need to adjust it somewhat. Here is a very little cut out from database: CODE NAME DATE DATA1 4813 ADVANCED TELECOM 1987 0.013 3845 ADVANCED THERAPEUTIC SYS LTD 1987 10.1 3845 ADVANCED THERAPEUTIC SYS LTD 1989 2.463 3845 ADVANCED THERAPEUTIC SYS LTD 1988 1.563 2836 ADVANCED TISSUE