similar to: Variance with confidence interval

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, 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, 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 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, 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, 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 ?

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) > >

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

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

Hi, I haven't tried the code yet. Is there a way to parse this data using R and create bar plots so that each program's 'RAM used' figures are grouped together. So 'uuidd' bars will be together. The data will have about 50 sets. So if there are 100 processes each will have about 50 bars. What is the recommended way to graph these big barplots ? I am looking

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 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

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

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

I need to construct confidence intervals for the binomial variance. This is the usual estimate v = x*(n-x)/n or its unbiased counterpart v' = x*(n-x)/(n-1) where x = binomial number of successes observed in n Bernoulli trials from proportion p. The usual X^2 method for variance confidence intervals will not work, because of the strong non-normal character of the sampling

Based on simulations, I've come up with a simple function to compute the confidence interval for the variance of the binomial variance, where the true variance is v = rho*(1-rho)/n where rho = true probability of success and n = # of trials. For x = # successes observed in n trials, p = x / n as usual. For p < 0.25 or p > 0.75, I use the proportion-based transformed confidence

Dear All, I have two data like this : $cat main.csv name,id,memory,storage mohan,1,100.20,1.10 ram,1,200,100 kumar,1,400,50 xxx,1,100,40 aaa,1,800,45 mount,1,200,80 > main <- read.csv(file='main.csv',sep=',' , header=TRUE) > main name id memory storage 1 mohan 1 100.2 10 2 ram 1 200.0 100 3 kumar 1 400.0 50 4 xxx 1

Dear All, I have a data frame with 5 column and 201 row data. I want to add one more column between column 1 and 2 with value of 1. So the new column has to be the second column filled with 1. Any help will be appreciated. Thanks for your time. Thanks & Rg Mohan L

Hi everyone I am trying to use grep in a for loop to compare a string value. It works if I use the actual index value but when I use the for loop index, it doesn't work. Any suggestions plz. Here is the code: data <- read.table(file="Sigmoid.csv", head=FALSE, sep=","); c1 <- data$V1 c2 <- data$V2 c3 <- data$V3 c1data <- data.frame(c1); c2data <-

Hi, I have tried to enable IPSec support for my FreeBSD( 4.11-RELEASE) system. First, I copied the generic kernel configuration file to a file I called MYKERNEL: #cp /usr/src/sys/i386/conf/GENERIC /usr/src/sys/i386/conf/MYKERNEL Then, I added the following three lines to the options section of /usr/src/sys/i386/conf/MYKERNEL: options IPSEC options IPSEC_ESP options