similar to: Scale of axis for two data sets

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, 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

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, 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) > >

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, This is not a sophisticated statistics question as the subject suggests. But I am logging data - number of user sessions in a web application - before and after new users are migrated. I use R to graph but I am looking for a way to quantify the growth in the number of user sessions. As more users are now using the web application there is a growth. What is the way to measure this

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, 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.

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 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

Dear list, I am sorry about this simple question, but somehow I can not figure out how to solve my problem, may be you could help? I have a vector mir3: > length(mir3) [1] 220671 >head(mir3) rno-miR-30c rno-miR-30c rno-miR-30d rno-miR-30e "ENSRNOT00000049288" "ENSRNOT00000049288" "ENSRNOT00000049288"

Hi All, I am using the script below to limit download rates and manage traffic for a certain IP address and testing the results using iperf. The rate that iperf reports is much higher than the rate I have configured for the HTB qdisc. It''s probably just some newbie trap that''s messing things up but I''m buggered if I can see it. The following script is run on the

Dear all, Let say I have a sets of numbers: rno1 = rnorm(1000) rno2 = rnorm(1000) If I write request as follow: sm.density.compare (rno, rno3, xfit=min(rno), max(rno2)) why I receive a lot of curves in my plot, while I have only two data sets? regards Przemek -- View this message in context: http://r.789695.n4.nabble.com/sm-density-compare-a-lot-of-curves-tp4253039p4253039.html Sent from the

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