Hi, A line can be added to an existing plot using the abline function. For example, if a is the intercept and b is the slope, the command would be abline(a=a, b=b)
To overlay a new plot on an existing one, use the command: par(new=TRUE). For example: plot(1:10, 1:10) par(new=TRUE) plot(log(1:10), 1:10) This approach often leads to issues with the scale of the axes, tick marks, and labels. Fortunately, R provides the flexibility to deal with all of them. I recommend you carefully read the help pages for plot, par, and axis, and have some fun playing around with all the options. --Susan On Apr 10, 2012, at 11:55 PM, Tawee Laoitichote wrote: > > Dear Michael (and Davis), Your answer is not what I want to know. My question > is to find any command to plot the data I got from the field; such as a set > of (x,y) data ( I actually have these data) and together withe the derived > ones . I brought these data to plot on x-y plane, getting a graph showing > some relation. Then, I wanted to find some linear relation, I would use least > square method to solve having a simple function such as; y = ax + b, solving > the a and b. So, I could plot a straight line using this function, or perhaps > forecast some data of y which I know the value x. My problem is when I did a > scatter plot by command "plot(x,y)", I got a graph. Whilst I plotted another > graph using the above function the existing graph disappeared replaced be the > latter function. Unfortunately, after searching a while to find the solution > command, I can not find the command. I asked the question as to request some > help not the example you shown. Any way, thanks for you effort. ! Ta! > > wee Mac OS10.7.3 >> From: michael.weyla...@gmail.com >> Date: Tue, 10 Apr 2012 23:31:08 -0400 >> Subject: Re: [R] plot 2 graphs on the same x-y plane >> To: ohowow2...@hotmail.com >> CC: r-help@r-project.org >> >> This is the same malformatted message you posted on R-SIG-Mac even >> after David specifically asked for clarification.... not to reward bad >> behavior, but perhaps this will enlighten: >> >> # Minimal reproducible data! >> x <- runif(15, 0, 5) >> y <- 3*x - 2 + runif(15) >> >> dat <- data.frame(x = x, y = y) >> rm(list = c("x", "y")) >> >> # Base graphics plot using the formula interface >> plot(y ~ x, data = dat) >> abline(lm(y~x, data = dat), col = "red3", lwd = 2) >> >> Alternatively >> >> library(ggplot2) >> ggplot(dat, aes(x = x, y = y)) + geom_point() + stat_smooth(method = >> "lm", color = I("red3")) >> >> which is perhaps overkill in this situation. >> >> >> Michael >> >> On Tue, Apr 10, 2012 at 11:03 PM, Tawee Laoitichote >> <ohowow2...@hotmail.com> wrote: >>> >>> >>> >>> >>> hi, I'm doing some data on least square curve fitting. What I like to have >>> is to compare the scatter plot whilst having the fitting curve on the same >>> coordinates. Any suggestting command besides plot(x,y). TaweeMac OSX 10.7.3 >>> [[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. > > [[alternative HTML version deleted]] > > _______________________________________________ > R-SIG-Mac mailing list > r-sig-...@r-project.org > https://stat.ethz.ch/mailman/listinfo/r-sig-mac ______________________________________________ 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.