similar to: Data generation for a distribution

Hi, I plot no: of bytes against time and find the distribution curve using R. These bytes are sent from the client to the server. Is there a way to generate bytes randomly using R according to a distribution ? I would like to send these bytes to the server. Hope I am not misguided here. My goal is to simulate a certain distribution of bytes. Thanks, Mohan DISCLAIMER:\

Hi, plot(xc, yc, type="l", ylim=c(0,50), xlim=c(0,50), lwd=2, xlab="M", ylab="seconds") abline(a=-think, b=cpustime, lty="dashed", col="red") abline( 2.2, 0, lty="dashed", col = "red") This draws a response time curve an asymptote and a horizontal line. How do I draw a line from the intersection of the asymptote and

Hi, Is there a way to calculate variance directly by specifying confidence interval using R ? I am specifically asking because I wanted to investigate how this could be useful for project schedule variance calculation. Moreover I am interested in using R for monte carlo simulation as well and any simple examples would help. I read that project schedules would benefit from this.

Yes. I tried that already. Not straightforward. data <- read.csv("20_newsgroups.csv",fill=TRUE,as.is=T,header=F, quote="", sep=",", encoding="UTF-8") This line does read it haphazardly. The emails in the column are split into multiple columns and there are several columns with just ?NA?. Totally 202 columns. And then I removed columns with NA?s and

You might want to try some of the suggestions mentioned in this post: https://stackoverflow.com/q/17414776/2140956 Jean On Thu, Aug 10, 2017 at 7:59 AM, <Mohan.Radhakrishnan at cognizant.com> wrote: > Hi, > > Reading http://ssc.wisc.edu/~ahanna/20_newsgroups.csv after downloading > it using > > data <- read.csv("20_newsgroups.csv",header=TRUE) > >

Hi, Kbytes RSS rNo 2689632 1450876 1433788 2689632 1450876 1433788 2689632 1450876 1433788 2689632 1450876 1433788 2689632 1450876 1433788 2689632 1450876 1433788 2689632 1450876 1433788 2689632 1460168 1443084 plot(data$rNo,data$RSS,pch=0,type="b",col=36,axes=FALSE, ylab="", xlab="",las=2,lwd=2.5) title(" PID -

Hi, I am looking for some assistance with these requirements. We are trying to simulate web requests to hit a web applications. Let's assume I have a url to hit that requires a username and password. 1. These web requests should have exponential inter arrival times. 2. Generate self-similar traffic. I am not very sure about the properties of this traffic. Is Variance Time plot

Hi, I have a data frame with one column and several rows of the form. "Peak Usage : init:2359296, used:15859328, committed:15892480, max:50331648Current Usage : init:2359296, used:15857920, committed:15892480, max:50331648|-------------------|" I tested the regex Current.*?[\|] in an online tester which greedily matches upto the first 'pipe' character Current

Hi, Reading http://ssc.wisc.edu/~ahanna/20_newsgroups.csv after downloading it using data <- read.csv("20_newsgroups.csv",header=TRUE) throws this. Warning message: In scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, : EOF within quoted string So, for example, the first line in the file is this. This column contains only such text. Is there a way read it ?

Hi, ' Not specific to 'R'. I search for patterns and found http://patternsinfp.wordpress.com/ which is too heavy for me. There is a 'Pragmatic Programmer' book on such patterns for Scala and Clojure. Is there anything for R ? I wanted to code this. Is there a functional pattern in R for multiple 'if' loops like this ? if(

Hi, I would like to understand how to draw a graph to find out the average memory used by a single httpd process given these details collected over a period of several days. I code R but this is about a method to find an average memory utilization. I believe I have enough data. How should I statistically calculate this ? The figures inside braces are the total httpd processes at

In general, the loading/import/namespacing mechanism is really something that I cannot wrap my head around, even after reading the relevant sections in the documentation. Specifically, I''m trying to put together a module. I believe I have the correct module structure: $ find . ./test.pp ./graphite ./graphite/manifests ./graphite/manifests/init.pp ./graphite/files

Hi ether, On 12/26/09 13:06, ether zhhb wrote: > hi, > > dose anyone going/planning to add something like > Graphite(http://gcc.gnu.org/wiki/Graphite) in gcc to llvm(or that > should be implement at the level of clang?)? I already looked into implementing something like Graphite for LLVM. However just recently, so I have not released any code yet. As soon as some code is

Hi, I am again asking a generic question and the general response for such questions is cold. I am a beginner but use and write simple R scripts. I am looking for some ideas to calculate the confidence intervals based on this excerpt from the paper. Moreover it would help if someone points to material to read about degrees of freedom and any related concepts. Thanks,

Hi, I have been using R for a few months and I have this working code. Don't seen any problem but this takes a long time. So if I have about 30000 rows it takes a few minutes. If I have 100000 it does not seem to complete. Original Data: Proto Recv-Q Send-Q Local-Address Foreign-Address State tcp 0 0 172.20.100.2:60255

On Mon, Dec 28, 2009 at 05:05, Albert Cohen <Albert.Cohen at inria.fr> wrote: > PCP is only partially implemented: conversion out of PCP to Graphite is not > implemented, Actually Gimple to PCP to Graphite is implemented in some extent, but there still are plenty of bugs and we should work on the out of Graphite to PCP to Gimple/LLVM if we want to get rid of all these bugs. Also the

Hello, I have some xy data which clearly shows a non-monotonic, peaked triangular trend. You can get an idea of what it looks like with: x<-1:20 y<-c(2*x[1:10]+1,-2*x[11:20]+42) I've tried fitting a quadratic, but it just doesn't the data-structure with the break point adequately. Is there anyway to fit a triangular or 'tent' function to my data in R? Some sample code

Tobias Grosser wrote: > The way to go is the scoplib format (propably extended by quantified > variables). This format could be extracted from graphite easily and > could also be created in LLVM. > What we need to get back into LLVM is only the new optimized schedule > described e.g. as cloog like scattering functions. These can be parsed > easily. The real code generation

Hi, I have a hierarchy of such classes. Subject has a list of measurements. Let assume I have a list of such 'Subject' RC's. Can I use dplyr to navigate from Subject to the list of measurement RC's and filter and group data ? dplyr should be able to call the methods on these RC's to operate on the data structure ? I tried to coerce the list of RC's into a data frame

On Tue, Jan 27, 2015 at 10:23 PM, Markus "Shorty" Uckelmann <shorty at koeln.de> wrote: > Am 28.01.2015 um 07:07 schrieb Philip Keogh: >> You can also likely use this Fedora tree: >> http://pkgs.fedoraproject.org/cgit/graphite-web.git/tree/ > > That's the one I already found. But I wasn't sure in which state this > was. So you mean this is