Petr, Thank you very much for help. Graph A,
>Are the distributions restricted to the shown intervals? Not necessarily. Based on your suggested R-code, x <- seq(0, 3, length=1001) y1 <- dnorm(x, mean=0.5, sd=1) y2 <- dnorm(x, mean=2.5, sd=1) plot(x, (y1+1.05*y2)/2.05, type="l") The following graph was generated. What I want is, 1- let the plot star from 0.2 in Y-axis rather than the minimum value, Then goes up to 0.23 then stay flat. A slow drop when it reaches to 0.25 on X-axis. Finally, when it reaches at the coordinate of (0.21,0.3) stop instead of going down.. Thanks On Tue, Jan 31, 2012 at 11:09 AM, Petr Savicky <savi...@cs.cas.cz> wrote: > On Tue, Jan 31, 2012 at 10:03:39AM -0500, Val wrote: > > Hi All, > > > > I want generate data using R that follows the shape of graphs (A and B) > in > > the attached file. Can anybody suggest me what function fits for each > > graph? > > Hi. > > The graphs leave open several questions. Are the distributions > restricted to the shown intervals? How exactly should the > densities be close to the presented curves? Is it important > that the distribution of A is skewed? In other words, is it > important that the flat part of the high densities of A is > slightly increasing? Is B bimodal? > > Using mixtures of two gaussians, it is possible to achieve > the following densities. > > x <- seq(0, 3, length=1001) > y1 <- dnorm(x, mean=0.5, sd=1) > y2 <- dnorm(x, mean=2.5, sd=1) > plot(x, (y1+1.05*y2)/2.05, type="l") > > x <- seq(0, 3, length=1001) > y1 <- dnorm(x, mean=0.5, sd=0.95) > y2 <- dnorm(x, mean=2.5, sd=0.95) > plot(x, (y1+y2)/2, type="l") > > Are these curves satisfactory? > > The generation then should be done differently, using > rnorm(). > > Petr Savicky. > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html<http://www.r-project.org/posting-guide.html> > and provide commented, minimal, self-contained, reproducible code. > On Tue, Jan 31, 2012 at 11:09 AM, Petr Savicky <savi...@cs.cas.cz> wrote: > On Tue, Jan 31, 2012 at 10:03:39AM -0500, Val wrote: > > Hi All, > > > > I want generate data using R that follows the shape of graphs (A and B) > in > > the attached file. Can anybody suggest me what function fits for each > > graph? > > Hi. > > The graphs leave open several questions. Are the distributions > restricted to the shown intervals? How exactly should the > densities be close to the presented curves? Is it important > that the distribution of A is skewed? In other words, is it > important that the flat part of the high densities of A is > slightly increasing? Is B bimodal? > > Using mixtures of two gaussians, it is possible to achieve > the following densities. > > x <- seq(0, 3, length=1001) > y1 <- dnorm(x, mean=0.5, sd=1) > y2 <- dnorm(x, mean=2.5, sd=1) > plot(x, (y1+1.05*y2)/2.05, type="l") > > x <- seq(0, 3, length=1001) > y1 <- dnorm(x, mean=0.5, sd=0.95) > y2 <- dnorm(x, mean=2.5, sd=0.95) > plot(x, (y1+y2)/2, type="l") > > Are these curves satisfactory? > > The generation then should be done differently, using > rnorm(). > > Petr Savicky. > > ______________________________________________ > R-help@r-project.org mailing list > 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. > [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list 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.
