similar to: r graphing

I want to shade the area under the curve of the standard normal density. Specifically color to the left of -2 and on. How might i go about doing this? Thanks -- View this message in context: http://n4.nabble.com/Shade-area-under-curve-tp1586439p1586439.html Sent from the R help mailing list archive at Nabble.com.

Hello, I am plotting two distributions and want to draw a vertical line at the critical point 149. How can I stop it from going further up than the norm(140,15) curve? x<-seq(75,225,0.1) plot(x,dnorm(x,mean=140, sd=15), type='l', col='navy') abline(v = 149, col = "black") curve(dnorm(x,mean=150, sd=15),from=75, to=225, col='orange', add=TRUE) Thank you.

I'm trying to draw an arrow with a curved shaft on the graph as a straight one looks messy on a detailed graph. I've looked in arrows but it doesn't seem to give an option. larrows doesn't look much more promising. I had a look in the archive and couldn't find anything. Any thoughts? Thanks Paul -- View this message in context:

Hi, I need to create a plot (type = "h") and then overlay a skewed-normal curve on this distribution, but I'm not finding a procedure to accomplish this. I want to use the plot function here in order to control the bin distributions. I have explored the sn library and found the dsn function. dsn uses known location, scaling and shape parameters associated with a given input

I use matplot to get the density curve and then I use abline(v=g$V2, col = 3 ) to get the vertical line. Goal : I want very small lines at the bottom on the x axis , if possible in the arrow forms instead of vertical lines on the whole graph. Thanks a lot. [[alternative HTML version deleted]]

Hi, Am looking for an R package that will provide the drawing of curves and arcs of arbitrary shapes to use in illustrations. For example bent lines and arrows. Allan.

I recently came to realize the true power of R for statistical analysis -- mainly for post-processing of data from large-scale simulations -- and have been converting many of existing Python(SciPy) scripts to those based on R and/or Perl. In the middle of this conversion, I revisited the problem of curve fitting for simulation data with multiple observations resulting from repetitions. In the

Hi All, What I would like to do is the following: a) fit a probability function to a measured data set. This would be user specified, e.g., normal, lognormal, etc. and then b) take the probability function and plot it with the histogram of the measured data set. This function would be displayed as a smooth curve. This would involve "re-sizing" the probability function to match

Hi everyone. R is new to me and I'm very impressed with its capabilities but still cannot figure out how to do some basic things. There seems to be no lack of documentation but finding what I need has proven difficult. Perhaps you can help. Here's what I'm after: 1. How do I create a new plot without erasing the prior one i.e., have a new window pop up with the new graph?

Dear r-helpers! Jan Thiele asked r-help-list in february, but I could not find an answer to his question. I have the same problem: While preparing figures of 'envfit' plots with vegan for publication, I ran into a layout problem, that I found no solution for in the literature or the help archive: The labels of the vectors that indicate correlations of environental variables sometimes

Hi I'd like to fit an asymmetrical curve function to some physiological data. I've been told a weibull curve is a good place to start, but I'm having trouble specifying and fitting the function with nls and was wondering if someone could help. After some reading, I think the function specification I want is y=c*(x/a)^(b-1)*e^(-(x/a)^b) (from

Hi, I am looking for options to plot the following type of matrices: "A" "B" "C" "D" "A" "A" "C" "C" "A" "A" "A" "C" as a image like this: http://www.phaget4.org/R/image002.jpg

I am not able to find information about doing line plots with error bars in the R- help information. Would someone like to tell me if this can be done in R and either get me started or lead me to information about how to do the error bars? Thanks, Lana

Hi All, Did anyone else have a problem like this? I am sorry if its a small issue, I seem to not understand what to do to get rid of this error. > Sigma [1] 0.1939025 > MuRest [1] 8.512772 > TauZero [1] 0.1 > curve(qlnorm(x,-TauZero+MuRest, Sigma,lower.tail=F), xlim=c(4000,9000), ylim=c(0,.99),xlab="", ylab="") Warning message: In qlnorm(p, meanlog, sdlog,

Hi I have created the following plot over the empirical returns.. What I now want to do is to overlay a curve/line with the normal density as a comparison of the two. Does anyone know how to do this? (NB the last two lines are the problem, and are wrong, I know). Thank you in advance! Rikke http://r.789695.n4.nabble.com/file/n3768783/S%26P_500_spot_and_return_2010.csv

Greetings, I am working on a stylometric analysis of some latin texts; one of the latest stylometric techniques involves using principal components analysis. Not being a statistician, I can't really fully rely on PCA as my primary tool, since I don't really understand the statistics behind the PCA technique. Nevertheless, the ability to use PCA and graph the results has been

Hi, plot(xc, yc, type="l", ylim=c(0,50), xlim=c(0,50), lwd=2, xlab="M", ylab="seconds") abline(a=-think, b=cpustime, lty="dashed", col="red") abline( 2.2, 0, lty="dashed", col = "red") This draws a response time curve an asymptote and a horizontal line. How do I draw a line from the intersection of the asymptote and

Hi there, I produced a plot using the following codes: y<-rnorm(1000, 2, 0) x0<-c(0, 0) y0<-c(0, 0) y1<-c(0, 1) x1<-c(0, 4) plot(density(y), ylab="Abundance of species", xlab="Environmental gradient", main=" ", xlim=c(0, 4), ylim=c(0, 1), lty=2, col=4, xaxt="n", yaxt="n", frame.plot=F) lines(x0, y1) # add an axis

Hi all, Using the exponential distribution to exemplify: The dexp function is the PDF (1) and pexp is the CDF (2), that is obtained integrating the PDF. How can I get the qexp and the rexp? Considering that I have the PDF, how this two are mathematically related to the PDF? (1) ke^{-kx} (2) 1-e^{kx} Thanks in advance.

Dear R users. I have data observed on the surface of a torus, and am trying to fit the nonlinear regression using the geodesic equation on a torus. Could anyone give me a helpful advise on this problem? I would definitely appreicate your reply. Sincerely, SUNGSU KIM [[alternative HTML version deleted]]