Thanks all off you ;) I think I got it.
I was saving the workplace and loading it, but after that I wasn’t calling my data ;) really naive. Thanks very much. best RO Atenciosamente, Rosa Oliveira -- ____________________________________________________________________________ Rosa Celeste dos Santos Oliveira, E-mail: rosit...@gmail.com Tlm: +351 939355143 Linkedin: https://pt.linkedin.com/in/rosacsoliveira ____________________________________________________________________________ "Many admire, few know" Hippocrates > On 08 Jun 2015, at 01:30, Mark Sharp <msh...@txbiomed.org> wrote: > > Rosa, > > See save() and load() functions for background. However, I suspect you will > want to do something as described in the article in this link > http://www.fromthebottomoftheheap.net/2012/04/01/saving-and-loading-r-objects/ > > > Mark > > > > R. Mark Sharp, Ph.D. > Director of Primate Records Database > Southwest National Primate Research Center > Texas Biomedical Research Institute > P.O. Box 760549 > San Antonio, TX 78245-0549 > Telephone: (210)258-9476 > e-mail: msh...@txbiomed.org > > > >> On Jun 7, 2015, at 5:58 PM, Rosa Oliveira <rosit...@gmail.com> wrote: >> >> Dear Mark, >> >> >> I’ll try to explain better. >> >> Imagine I write: >> >> library(foreign) >> library(nlme) >> >> set.seed(1000) >> n.sample<-10000 #sample size >> M <- 5 >> DP_x <- 2 >> x <- rnorm(n.sample,M,DP_x) >> p <- pnorm(-3+x) >> y <- rbinom(n.sample,1,p) >> dp_erro <- 0.01 >> erro <- rnorm(n.sample,0,dp_erro) >> x.erro <- x+erro >> >> but with a function, with 2000 simulations. >> I save my “output” and I get X.erro in a .txt file. (text edit file). >> >> I do another setting with DP_x=3 and save, and so on. >> >> For some reason I realize I’ve done my simulation the wrong way and I have >> to apply a correction, for example: >> >> x.erro = 1.4X+erro, i.e. in the truth I could use my first X and erro values >> in each setting, but as it is in a .txt file I can’t use them any more. Is >> there a way to save the results in a format that I can use the values? Just >> apply my corrections and don’t have to do the 2000 simulations for each >> setting again? >> >> My problem is that the function I use takes 3 days running, and just 500 >> simulations :( >> >> Best, >> RO >> >> >> Atenciosamente, >> Rosa Oliveira >> >> -- >> ____________________________________________________________________________ >> >> <smile.jpg> >> Rosa Celeste dos Santos Oliveira, >> >> E-mail: rosit...@gmail.com >> Tlm: +351 939355143 >> Linkedin: https://pt.linkedin.com/in/rosacsoliveira >> ____________________________________________________________________________ >> "Many admire, few know" >> Hippocrates >> >>> On 07 Jun 2015, at 23:03, Mark Sharp <msh...@txbiomed.org> wrote: >>> >>> I cannot understand your request as stated. Can you provide a small example? >>> >>> Mark >>> >>> R. Mark Sharp, Ph.D. >>> msh...@txbiomed.org >>> >>>> On Jun 7, 2015, at 2:49 PM, Rosa Oliveira <rosit...@gmail.com> wrote: >>>> >>>> Dear all, >>>> >>>> I’m doing simulations on R, and as my code is being changed and improved I >>>> need to, sometimes, work in finished simulations, i.e, >>>> >>>> After my simulation is over I need to settle another setting. >>>> The problem is that I need to get back to the previous result. >>>> >>>> When I save the result it saves as txt, so I can’t edit that result any >>>> more. >>>> >>>> Imagine I save a setting and save the mean, nonetheless, in another >>>> setting the mean as problems, so I have to ask the median. >>>> >>>> As I have to have the same statistics to all settings, nowadays I have to >>>> run my first setting again. >>>> >>>> My advisor told me that I could save another way so I can “edit” my first >>>> result. Is it possible? >>>> >>>> I tried to save as "save my workplace", … but after I don’t know what to >>>> do with it. >>>> >>>> Can you please help me? >>>> I know is a naive question, but I have to go through this every 3 days >>>> (time each simulation takes long). And my work is being delayed :( >>>> >>>> >>>> Best, >>>> RO >>>> >>>> >>>> >>>> Atenciosamente, >>>> Rosa Oliveira >>>> >>>> -- >>>> ____________________________________________________________________________ >>>> >>>> >>>> Rosa Celeste dos Santos Oliveira, >>>> >>>> E-mail: rosit...@gmail.com >>>> Tlm: +351 939355143 >>>> Linkedin: https://pt.linkedin.com/in/rosacsoliveira >>>> ____________________________________________________________________________ >>>> "Many admire, few know" >>>> Hippocrates >>>> >>>> ______________________________________________ >>>> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see >>>> https://stat.ethz.ch/mailman/listinfo/r-help >>>> PLEASE do read the posting guide >>>> http://www.R-project.org/posting-guide.html >>>> and provide commented, minimal, self-contained, reproducible code. >>> >>> >>> >>> >>> >>> >>> >> > > > > > ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
