Re: [R] Fwd: Help with R-Calling forth csv.

Hi Mohammad, The plot you attached suggests that the underlying distribution may be a mixture. Is there anything in your data that would explain this, such as laden/unladen, uphill/downhill, different road surface? Jim On Mon, Apr 16, 2018 at 11:31 PM, Mohammad Areida wrote:

Re: [R] how to write a loop to repetitive jobs

Hi Rui, Thank you very much!! It worked very well, I am looking into how to use lapply and do.call. Ding -Original Message- From: Rui Barradas [mailto:ruipbarra...@sapo.pt] Sent: Monday, April 16, 2018 2:16 PM To: Ding, Yuan Chun; r-help@r-project.org Subject: Re: [R] how to write a

Re: [R] how to write a loop to repetitive jobs

Hello, The following might do it. Without data it's untested. wd <- function(i){ paste0("C:/Awork/geneAssociation/removed8samples/neuhausen7", i, "/seg.pr3.csv") } seg <- lapply(1:5, function(i) { DF <-read.csv(wd(i)) DF$id <- paste0("sn7", i) DF }) seg <- do.call(rbind,

[R] how to write a loop to repetitive jobs

Hi All.., I need to do the following repetitive jobs: seg71 <- read.csv("C:/Awork/geneAssociation/removed8samples/neuhausen71/seg.pr3.csv", head=T) seg71$id <-"sn71" seg72 <- read.csv("C:/Awork/geneAssociation/removed8samples/neuhausen72/seg.pr3.csv", head=T) seg72$id <-"sn72" seg73 <-

[R] Fwd: Help with R-Calling forth csv.

Hi, I do not know how to post in general again, however my csv contains around 5-250k data Points depending on vehicle/road type and pressure exerted on geotechnical structures. I have used R to develope histograms of said csv files and will attach such Picture to you in this mail and the csv

Re: [ESS] ess-dump-object-into-edit-buffer

Hi Patrick, On Mon, Apr 16, 2018 at 5:10 AM, Patrick Connolly wrote: > This is about the shortest I can get that shows what happens: Just > what the example function does is not material to my question. Can you reproduce this following only these instructions

Re: [R] Help with R-Calling forth csv.

There are plenty of options for reading csv files. For built-in solutions look at ?read.csv or at read_csv from the package reader. If the measurements are ordered in columns rather than in rows, reading the data can be very slow. HTH Ulrik Mohammad Areida schrieb am Mo.,

Re: [R] Help with R-Calling forth csv.

Hi, You may use the keyword to google for what you want to do to start with. Slowly you will learn...this forum is,really helpful but we should provide or show some effort..all the best! I like this forum very much and always feel thankful to very helpful and committed members. Sent from my

Re: [R] Help with R-Calling forth csv.

Dear Mohammad Perhaps if you showed us what you tried people could offer more helpful advice? When you say you want to call it forth do you mean you want to read in the file using read.csv? Michael On 16/04/2018 11:23, Mohammad Areida wrote: Hi, I'm working on R trying to find a

[R] Help with R-Calling forth csv.

Hi, I'm working on R trying to find a distribution that fits data from a csv file. The csv contains data on pressure exerted by a certain vehicle in terms of pressure [kPa] and I have around 3000 data points. I want to call forth this csv and by using (fitdistr) or if you could recommend a

Re: [ESS] ess-dump-object-into-edit-buffer

This is about the shortest I can get that shows what happens: Just what the example function does is not material to my question. ## from the bash prompt mkdir ~/Temp/First cd ~/Temp/First emacs & # start R using M-x R ## within the *R* buffer make a short function bringLibrary <-

[R] Inverse Gaussian distribution not working in glm funciton

Hello everybody, I have encountered a problem with the inverse Gaussian distribution. It is very likely that it will not work regardless of the data input. I have programmed this regression and it works fine no matter which distribution the response comes from. If you run this example (first

Re: [R] Math kernel library from intel

Depends how desperate you are for processing speed and careful you have been with optimizing your own algorithms. The default build of R is IMO quite usable for many people, and without a doubt many complaints about its speed are misdirected and are instead due to poor handling of working