similar to: (no subject)

Number of subjects = 25 Mean of Sample = 77 Standard Deviation (s) = 12 sem = 2.4 df = 24 The claim is that population mean is less than 80 * > 80 So our H0 (null hupotheis) is * > 80 > qt(.95,24) [1] 1.710882 > qt(0.05, 24) [1] -1.710882 tstat = -1.25 on t24 falls between 1.711 (.95,24) and *1.711 (.005,24) How Could I sketch t curve for the above data where my * would be at the

Dear R users, I still feel new to R so please apologize if I am doing something stupid here. My use of the polygon() function produces a result that I cannot comprehend: In a plot, I would like to shade the area below a normal distribution. However, I do not want the entire area to be shaded, but just the area on the right side of a vertical line that I draw through the distribution (in

Dear All, I am using the following commands to do the scatter plot of two vectors, say X and Y. plot(X,Y, col="blue") abline(a=1,b=1, col="red") abline(a=-1,b=1, col="green") I would like to split the scatter plot into 3 part with 3 different colors: (i) points lies between 2 lines, (ii) points above line 1, and (iii) points below line 2. I am struggling to do

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.

Greetings: I would like comments on this example and after fixing it up, I need help from someone who has access to insert this in R's help page for plotmath. I uploaded a drawing http://pj.freefaculty.org/R/Normal-2009.pdf that is created by the following code http://pj.freefaculty.org/R/Normal1_2009_plotmathExample.R This will be a good addition to the plotmath help page/example.

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?

i am having problem running my own data. yesterday it was working just fine. today it is not. this is the code i was using as an example to follow. this code ALSO worked just fine yesterday, and is no longer working at all. i suspect it is a problem with either my computer or the software, at this point. if THIS won't even run.... something is wrong. i can assure you this isn't

Hello, I have this code to plot a certain normal distribution and represent the pnorm value for a certain "x": x<-300 xx <- seq(2.5,7.5, by=0.1) yy <- dnorm(xx,5.01,0.77) d<-signif(pnorm(log(x), 5.01,0.77),4) xpts <- round(exp(0:8)) par(bg = "antiquewhite") plot(xx,yy, type="l", col="blue", lwd=2, xaxt="n",

I hope to use the plotmath facility to print titles that mix math and values of R variables. The help for "plotmath" has an example, which after repeated reading, I find baffling. Likewise, I have read the help file for "substitute" (wqhich seems to be needed) without ever understanding what it does, other than being used in some magic incantations. I would like to do

Dear all, Suppose I plot two normal distributions (A and B) side by side and add vertical line which hipotheticaly represent alpha value; e.g.: x <- seq(-3.5,5, length=1000) y <- dnorm(x) # Plot distribution A plot(y~x, type='l',axes=F,xlab="",ylab="",lwd=2) # Plot distribution B y2 <- dnorm(x-1.5) lines(y2~x,lwd=2) # Plot vertical line for alpha value

Hi! How can I fill with colors a portion of a graph (e.g.: I want fill in red the area within two confidence intervals)? Thank you very much Cristian ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Cristian Pattaro ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Unit of Epidemiology & Medical Statistics University of Verona Tel +39 045 8027668 fax +39 045 505357 cristian at biometria.univr.it

Hi all, for example: > X<- rnorm(1000) > X0 <- 0.899 I want to draw a density distribution plot with a arrow pointer indicating the position of X0, meanwhile, giving out the p-value. any functions? Thanks very much.

Dear R helpers, I have a graph as following; I would like to highlight the overlapping area between the two curves. Do you know how to do this? Thank you in advance for your help. Nguyen ###START x1 <- rnorm(10000, 0.70,0.12) x2 <- rnorm(10000, 0.90,0.12) d1 <- density(x1) d2 <- density(x2) plot(range(d1$x,d2$x), range(d1$y, d2$y), type = "n", xlab = "X

Hi.. I'm not sure why polygon returns an area above the standard normal curve. z <- pretty(c(-3,3), 100) ht <- dnorm(z) data <- data.frame(z=z, ht=ht) zc <- 1.645 plot(data, type="l") lines(data) t <- subset(data, z>zc) polygon(t, col="red") Thanks, Lance [[alternative HTML version deleted]]

I would like to add some vertical lines to a lattice plot of histograms. What I am after is a lattice version of abline(v = 1234). The lattice histogram plot is just: histogram( ~ LTSE | approach, data = arrivals) Can anyone point me in the right direction for this? David Scott _________________________________________________________________ David Scott Department of Statistics The

I want to plot the unstadardized version of a normal plot.  Can you explain why that is not working? Dev.set(1) xcrit=-1.645 cord.x <- c(-3,seq(-3,xcrit,0.01),xcrit) cord.y <- c(0,dnorm(seq(-3,xcrit,0.01)),0)            # what does final 0 do here? curve(dnorm(x,0,1),xlim=c(-3,3),main='Normal PDF') polygon(cord.x,cord.y,col='orange')

Dear users, I would like to plot several histograms superimposed on the same panel with different colors, with superimposed polygons appearing with transparency effects. I also want estimated densities to appear on the same plot. For several reasons, including that I like it, I want to use the lattice package. I have several questions regarding the use of the 'histogram' function with a

Hi, Let say I have a normal density X~n(0,1) and I have a line y=0.01x+0.07. the following code generate the plots. x=seq(-10,10,length=100) plot(x,p1,type='n',ylab="Density",main="Overlap Measure",xaxt="n",yaxt="n") pi=dnorm(x,0,1) points(x,p1,type='l') abline(0.07,0.01) you can see that the curves intersects at 3 points. My question is

Hi R users, I would like to know why these following curve densities don't appear correctly on the histograms. Thank you for your help library(lattice) library(grid) resp <- rnorm(2000) group <- sample(c("G1", "G2", "G3", "G4"), replace = TRUE, size = 1000) histogram(~ resp | group, col="steelblue", panel = function(x, ...){ std

Hello, I have a question regarding shading regions under curves to display 95% confidence intervals. I generated bootstrap results for the slope and intercept of a simple linear regression model using the following code (borrowed from JJ Faraway 2005): > attach(allposs.nine.d) > x<-model.matrix(~log(d.dist,10))[,-1] > bcoef<-matrix(0,1000,2) > for(i in 1:1000){ +