similar to: Fw: Simulating and Plotting

Sorry about the subject --- On Thu, 24/9/09, KABELI MEFANE <kabelimefane@yahoo.co.uk> wrote: From: KABELI MEFANE <kabelimefane@yahoo.co.uk> Subject: Re: [R] Multiply Normal Curves To: R-help@r-project.org Date: Thursday, 24 September, 2009, 11:48 AM R -helpers   i have been trying to do this problem without must success,i managed to do a graph for x, but it is not what i want to

R helpers   Please help me combine the simulated data to a form of table where: Hypermarket have 10 rows, supermarket have 15 rows,......., spazashops with 35 rows.   Hypermarket <- rnorm(10, mean=20000, sd=7000) Supermarket <- rnorm(15, mean=12000, sd=4000) Minimarket   <- rnorm(20, mean=10000, sd=4000) Cornershop  <- rnorm(20, mean= 8000, sd=3000) Spazashop   <- rnorm(35, mean=

R -helpers   i have been trying to do this problem without must success,i managed to do a graph for x, but it is not what i want to define,(i want to specify number of observations as well). I have also been able to do simple rendom sample.   data.frame(ID=c(1,2,3),mu=c(10000,34000,50000),sigma=c(2000,3000,5000)) curve(dnorm(x,mean=parms$mu[1],sd=parms$sigma[1]),from=2000, to=80000,

R-helpers   A curious question: Can you make suggestions  as to  what to use in R for the data from a sample of the following:   Hypermarket <- matrix(rnorm(100, mean=50000, sd=5000)) Supermarket <- matrix(rnorm(400, mean=34000, sd=3000)) Minimarket  <- matrix(rnorm(1000, mean=10000,sd=2000)) Cornershop  <- matrix(rnorm(1500, mean=2500, sd=500)) Spazashop   <- matrix(rnorm(2000,

Hi   Out of curiosity, how can i determine the minimum required sample size of this data in a combined form say 100 entries which r functions can i use?   R helpers   Please help me combine the simulated data to a form of table where: Hypermarket have 10 rows, supermarket have 15 rows,......., spazashops with 35 rows.   Hypermarket <- rnorm(10, mean=20000, sd=7000) Supermarket <-

Dear Helpers   I have a sample frame and i have sampled from it using three methods and now i want to calculate the statistics but i only get the population parameters.   H <- matrix(rnorm(100, mean=50000, sd=5000)) sampleframe=data.frame(type=c(rep("H",100)),value=c(H)) sampleframe   str=strata(sampleframe,c("type"),size=c(20,), method="srswor")

Dear All ? I know that you do not have to help me but please do, i am new to R as a CPI compiler, i just need to do a sample to see which sampling method best works in different situations, therefore since this is for practice purposes nobody will finance a real project thats why i need you to help me direct me as to how simulate data (just direct me,not 100% help). See my attachment for problem

R-list   I am sorry for asking this stupid question, but i have been running in circles. I want to randomly generate a scaling point of between 1 and 10, for say hundred entries, where the first 10% percent is has rates between 2 and 7, the next 15% 3 and 7, 20% between 3 and 9, 20% between 3 and  10, 35% between 5 and 10. The problem is that i can only generate the usual 100 using runif function

Dear All   I hope you can help me with this small problem. I want to draw a normal distribution line to this data: p<-rnorm(100, mean=50000, sd=3000) hist(p)   Kabeli [[alternative HTML version deleted]]

 Dear All   let me go one step further by asking you if you could help me show that the distribution of this data in normal.  have a little idea (by trial and error) but i seem to not fully understand how its done.   H<-rnorm(100, mean=50000, sd=3000) par(las=1) hist(H, breaks=seq(40000, 60000, 1000), freq=F) f<- function(x) exp(-(x-5000)^2/18000000)/sqrt(18000000*pi)  x<- seq(40000,

I am using Console/DSP for an intercom. I want to play my MP3 collection over it when no one is using it, like when they do in the supermarket. Can anyone help me with this. Any suggestions will be appreciated. -- Christopher Dobbs

Could someone recommend 5 different varieties of red wine, average price available in a supermarket for a novice to get a good overview of what's out there? :P

Hi, Problem Summary: I have been trying to add the highlight effect to my table but everytime a new record is added the highlighting gives an rjs error. However when i click the add to cart button on a product that already exists inside the table, the highlight effect works. Is this because the partial must only have only one <tr></tr> in it and the <table> must be on the other

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JOIN YOUR COLLEAGUES FOR THE 20TH HIGHLY ACCLAIMED INTERNATIONAL FORUM TO HEAR THE LATEST IMPLEMENTATIONS OF BIOMETRICS... THE WINTER 2010 BIOMETRICS SUMMIT: -------------------- Practical Implementation Strategies, Market Trends And Best Practices In Government And Business -------------------- February 22-25, 2010 - Miami, FL

I write about R every weekday at the Revolutions blog: http://blog.revolution-computing.com . In case you missed them, here are some articles from last month of particular interest to R users. http://bit.ly/WYAnM shows how to create a URL for a Google Spreadsheet so you can read the data directly from the cloud in R with read.csv. http://bit.ly/FuUNw reported on Google's use of R to predict

Happy New Year, R users! I write about R every weekday at the Revolutions blog: http://blog.revolutionanalytics.com and every month I post a summary of articles from the previous month of particular interest to readers of r-help. In case you missed them, here are some articles related to R from the month of December: A Facebook employee created a beautiful visualization of social connections

http://bugzilla.mindrot.org/show_bug.cgi?id=1327 Summary: The limit of 100 forwarded ports is arbitrary and unnecessary Product: Portable OpenSSH Version: 4.6p1 Platform: All OS/Version: Linux Status: NEW Severity: enhancement Priority: P1 Component: ssh AssignedTo: bitbucket at

Dear All   I know that you do not have to help me (as this is not a pure R problem) but please do, i am new to R as a CPI compiler, i just need to do a sample to see which sampling method best works in different situations, therefore since this is for practice purposes nobody will finance a real project thats why i need you to help me direct me as to how simulate data (just direct me,not 100%

Dear All   I know that you do not have to help me (as this is not a pure R problem) but please do, i am new to R as a CPI compiler, i just need to do a sample to see which sampling method best works in different situations, therefore since this is for practice purposes nobody will finance a real project thats why i need you to help me direct me as to how simulate data (just direct me,not 100%