similar to: Ploting Mean and SE on regression lines

Dear all, A journal in which we wanted our manuscript published requires the figures as a tiff, eps or PowerPoint formated. I tried converting .jpeg files to these formats but it looses its quality both on the screen and on paper. Could some one please help. Thanks in advance, ____________________ Sivakumar Mohandass, Department of Entomology, Kansas State University [[alternative HTML

Dear all, The following commands results in a blank graph file, postscript(file = "C:/Temp/Fig1.eps", height=4.0, width=4.0, horizontal = FALSE, onefile = FALSE, paper = "special") x11(height=3,width=3) par(mar=.1+c(4.5,4.5,0,0)) x <- c(10,20,30) y <- c(5, 7, 9) plot (x,y) dev.off() The codes function normally without any error in the command window. However, the

Hello, All: I am unable to manually replicate predict.lm, specifically comparing se.fit with (fit[,3]-fit[,2]): I think their ratio should be 2*qnorm((1-level)/2), and that's not what I'm getting. Consider the following slight modification of the first example in help('predict.lm'): set.seed(1) x <- rnorm(15) y <- x + rnorm(15) predict(lm(y ~ x)) new <-

Hi I have measured the UV absorbance (abs) of 10 solutions of a substance at known concentrations (conc) and have used a linear model to plot a calibration graph with confidence limits. I now want to predict the concentration of solutions with UV absorbance results given in the new.abs data.frame, however predict.lm only appears to work for new "conc" variables not new "abs"

Windows 98 R : Copyright 2001, The R Development Core Team Version 1.2.1 (2001-01-15) Dear friends. How comes this works and produce a single prediction: x <- rnorm(15) y <- x + rnorm(15) predict(lm(y ~ x)) new <- data.frame(x = seq(-3, 3, 0.5)) predict(lm(y ~ x), new, se.fit = TRUE) pred.w.plim <- predict(lm(y ~ x), new, interval="confidence") new1 <- data.frame(x=3)

I have an attached data.frame with a binary composite variable (comp) and a predictor (egfr). I am trying to plot a restricted cubic spline using: require (Hmisc) require (Design) rcspline.plot(x=egfr,y=comp,model="logistic",nk=5,knots=NULL, xlab="label1", ylab="Label2", plim=c(0,1), plotcl=TRUE, showknots=TRUE,

I am having a problem with a gantt chart since moving to R2.4.0. from 2.3.1 I made some adaptations to the code from http://addictedtor.free.fr/graphiques/RGraphGallery.php?graph=74 and successful produced a simple gantt chart. However when I upgraded to 2.4.0 it no longer works as desired. See http://ca.geocities.com/jrkrideau/R/gantproblem.pdf for the two charts. The charts were produced

> On 11 Sep 2017, at 5:10 pm, Christian Kivalo <ml+dovecot at valo.at> wrote: > > On 2017-09-11 08:57, James Brown wrote: >> I have turned on 'auth_debug_passwords=yes? in dovecot.conf. >> I?m trying to get Fail2ban to detect this log line: >> Sep 11 15:52:49 mail dovecot[54239]: auth-worker(10094): sql(user at bordo.com.au <mailto:user at

Hi, I've written a function: myfun <- function(x, y) { // blah blah } and I want to graph it. My plan is to use persp(), and my question is: how do I create the array of values? One possibility is: x <- seq(0, 10, by=.1) y <- seq(0, 10, by=.1) inputs <- <somehow create an array of x,y pairs> outputs <- apply(A, c(1,2), myfun) The "inputs" array would

Hi: I been having a lot of trouble trying to plot multiple time series on the same plot. What I want to do is the following: I have a table with sales per day on different states and what i would like to do is plot time series for all the diferents states in the same plot (divided in small squares, not all the time series together) so I can visualize the data; but I do not know how to do this, im

Hi, I have trouble with the heatmap function (package stats). The row labels are wrongly ordered and don't correspond to the Rowv dendrogram. I know there is a bug with the heatmap fonction. Emmanuel Paradis (http://tolstoy.newcastle.edu.au/R/e2/help/07/05/16227.html )suggested a modification to fix it but in my case the row labels are still wrongly ordered. Heatmaps with 2 phylograms have

I'm trying to understand how to set graphical parameters for trees created with the party package.  For example take the following code:   library(party)     data(airquality)     airq <- subset(airquality, !is.na(Ozone))     airct <- ctree(Ozone ~ ., data = airq,                    controls = ctree_control(maxsurrogate = 3))     plot(airct)   My problem is, I've got a ctree that has

Dear all, I would like to draw a 3-D horizontal cylinder preferably in RGL device (because this gives the look from different angles). Basic idea is from http://www.tau.ac.il/cc/pages/docs/sas8/insight/chap18/sect3.htm. Below is the description exactly what I want to do. Please see at figure 18.6, 1st plot. Here it is an confidence ellipsoid. Suppose now you put another 4 same ellipsoids on top

I used in previous versions of R (R 1.1) to plot axes on projections of factorial coordinates using the function plaxes. This doesn't exist any more. Why this change ? No alternative ? --------------- Charles RAUX, Laboratoire d'Economie des Transports CNRS-Universit? Lumi?re Lyon 2-ENTPE email : charles.raux at let.ish-lyon.cnrs.fr http://www.ish-lyon.cnrs.fr/let

Hi all, I have a data frame consisting of extracted results from a moving regression. Next, I want to write a function that pick up the desired coefficient columns and plots them on one page (about=5). Additionaly, the plots should display the corresponding p-values. As for the coefficients alone, it works fine. The problems arise when I try to add the values of p-values as lines. An example:

Hi, It's my first post on this group. I've just started learning & using R and I like it ;-) I have I think simple question. I'm trying to plot a histogram for my data set. My data set is defined as follows: Class N 12.5 3 17.5 10 22.5 12 27.5 8 32.5 7 37.5 3 42.5 4 47.5 2 Class means middle of set of my ranges I define. N column stores number of measurements counted to

Hello! I have created a plot and would like to put a legend in the top left corner (above and left of plotting region), but non of the functions can plot there (I tried 'legend', 'text', 'points', 'lines', 'mtext', 'axes',...). I would be very grateful if someone could help me put something in that corrner, with any fuction. Thanks, Ales Ziberna

Hello R-users, I am new to R-commands. I have two sets of data: x <- c(7, 7 , 8, 9, 15, 17, 18) y <- c(7, 8, 9, 15, 17, 19, 20, 20, 25, 23, 22) I have used 'cut' command to seperate them as follows a <- cut(x, breaks =c(0,5,10,20,25,30)) b <- cut(y, breaks =c(0,5,10,20,25,30)) > table(a) a (0,5] (5,10] (10,20] (20,25] (25,30] 0 4 3 0

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this is the command i made for a normal distribution, but when i try to plot the histograms, i dont know why the bars don't stick on the line... nsamples<-1000 sampsize<-15 Samples<-matrix(rnorm(nsamples*sampsize,0,1),nrow=nsamples) a<-apply(Samples,1,var) NC14<-a*14 x<-0:40 plot(x,dchisq(x,14),type='h') hist(NC14,freq=F,add=T) -- View this message in context: