similar to: Plotting error bars in xy-direction

Hi, I want to add error bars to a plot generated with xyplot. I've tried both errbar() and plotCI(), but in both cases the points are not in the same place. It's as if the two functions are using a different frame of reference for the plotting area. for example: means <- c(92.5, 92.25, 90.9, 91.0, 94.15, 90.05) #means time <- c(1,1,2,2,3,3) #occasion variable group <-

I am having difficulty installing packages. For example, here I have tried to install "gplots" but to no avail. I have tried multiple mirrors and different packages (errbar) but after installation I seem to be unable to access any of the commands or help pages. I am a little concerned about the 'lib' missing message but this has been present for previous successful package

Dear forum, Does anyone know any functions for plotting vertical error bars, if the x-axis variable is a date? I can produce a pretty plot with dates on the x-axis, if I don't want to include error bars. I can also produce a nice plot with error bars, if I just use Julian days for the x-axis, but I'd much rather have the actual dates. I have tried writing my own function, plotCI

Hello R-help, I am using R version 2.15.1. I upgraded from R version 2.13 a few months back. Previously, I was able to plot error bars on an xy scatter plot using the errbar function: errbar(RAEthylene$TIME,RAEthylene$AVE,RAEthylene$AVE+RAEthylene$STD,RAEthylene$AVE-RAEthylene$STD,add = TRUE,lty=2,pch=17); Today, I went to update my plot. However, in R version 2.15.1 I get error code

Hi, I have the two vectors mean and sd of individual columns, but I am unsure how to generate bar charts with the standard deviation, even after looking the help of barplot and barplot.2. [[alternative HTML version deleted]]

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, I'd like to use R to do what excel pivot tables do, and plot results. I've never used R before, and I've managed to do something, but it's quite a lot of code to do something simple. I can't help but think I'm not "Doing it the R way". I could be using R for the wrong thing, in which case, please tell me off. I was hoping something like plot(by(t,

All Is there an R command to produce error bars around a plotted point. Crawley's book uses the command error.bar() but my version of R rejects it. Must be an S+ command(?). Thanks REX [[alternative HTML version deleted]]

Hi, I'm struggling with errbar graphics. I'm trying to plot an x-y graph with correct labelling, however can't seem to get main and sub to show on my graph. They do work when I use title(main="," etc...., but this will make it look at lot messier,I'll have to blank out ylab=" " , and I need to try and get the titles to update automatically according to my

Dear R-help members, I have several large data sets from certain simulations I did and now I want to plot the results nicely. I don't know anything about the size of the x and y values in advance. Plotting these values is not a problem. However, I want to add errorbars (errbar in the Hmisc package). 1) For this I'm factoring the data (xdata00 varies from 0 to max(xdata00)) xfactor00 =

Dear R Users, I am using R on windows. how to use 'points' function to plot two curves with errbar I am doing like: x.val <- as.integer(names(co2mean)) errbar(x.val, co2mean, co2mean + co2sd, co2mean - co2sd, xaxt='n', col=1, xlab=NA,ylab=NA)# obs error bar lines(x.val, co2mean, col=1, lwd=2) errbar(x.val, co2tm3.month.mean, co2tm3.month.mean + co2sd.tm3, co2tm3.month.mean -

Hi, Could anyone give suggestions how to plot a scatter plot with 1 standard deviation for each point. To make it clearer, here is a simple example: the scatterplot is plot(X, Y), but I want to add 1 standard deviation according to the value of Z for each Y. X Y Z 1 3.5 1.1 . . . . . . . . . Thanks a lot in advance. FD [[alternative HTML

Dear all, Does anyone knwo how to add error bar to the data point in a simple xyplot? Right now, I have a .dat file including both the data points and their standard deviation and read it in R. I tried function arrows(). But it didn't gave me any arrows. Thanks for the help! Jeny

Hello! If I use the errbar-function and have a logarithmic scale on the x-axis, then the little horizontal bars at the end of the errbars (cap) disappear. What can I do? Thanks for helping! Ute

Hi R people. I ran into this problem: I created a plot with errbars, like this: > errbar(x=c(1,2,3,4), y=c(2,1,3,3), yminus=c(1.5,0.5,2.5,2.5), yplus=c(2.5,1.5,3.5,3.5)) Next, I wanted to accentuate some x value with an abline, like this: > abline(v=2) In one of my R sessions (which admittedly I have had open for quite a while now), the abline draws outside of the plotting region

Is there an easy way to make the error bars the same color as the points and lines they are plotted with. My example # fake data x=sample(1:10, 100, replace =T) y = rnorm(100) + runif(100) df=data.frame(x,y) # summarize data m = aggregate(df,list(x),mean) se = aggregate(df,list(x),sd)/sqrt(10) library(Hmisc) plot(x,y) errbar(m$x, m$y, m$y+1.96*se$y,

Hi all-- I am in the process of helping colleagues write up a ms in which we fit zero-inflated Poisson models. I would prefer plotting the rate ratios and 95% CI (as I've found Gelman and others convincing about plotting tables...), but our journals usually like the numbers themselves. Thus, I'm looking at a recent JAMA article in which both numbers and dotplot of RR and 95% CI are

Dear R-lister I have a question about how to create multiple error bar plots. I found that I can use an "errbar" function from Hmisc package to create one error bar plot in which there are multiple data points (x, y) with the error bars. Thus, I know that I can get "one" error bar plot which consists of many data points. However, I did not find a way to put

Hi, I have a sample of size 100 from a function in interval [0,1] which can be assumed to come from a scalar-valued stationary Gaussian process. There are about 500 observation points in the interval. I need an effective and fast way to simulate from the Gaussian process conditioned on the available data. I can of course estimate the mean and 500x500 covariance matrix from data. I have searched

Dear R users, I am trying to build a barplot2 graph however I can't find a way of defining the scale for the x-axis. I would like to show in my x-axis only the numbers 0, 25, 50, 75 etc. (so far R is giving me a random scale hard to interpret and it doens't look nice...). Could anyone advise me on how to do this please, it would be a great help! Thank you. Below I show the code I have