search for: geom_errorbar

Dear R-list I'm working with with geom_errorbar; specifically I'm trying to reproduce the example Hadley Wickham have on http://had.co.nz/ggplot2/geom_errorbar.html (all in the button of the page) where he makes an nice plot with errorbars and then draw lines between the points. What confuses me is the 'limits' he defines for the er...

...works but the error bars have an undesirable line drawn between the left edges of the caps. Does anyone know how to change this behavior? I am using R version 2.5.1 and ggplot2 version 0.5.5 on Ubuntu Feisty. Thanks for your help. James ## I am using an example from http://had.co.nz/ggplot2/geom_errorbar.html library(ggplot2) df <- data.frame( trt = factor(c(1, 1, 2, 2)), resp = c(1, 5, 3, 4), group = factor(c(1, 2, 1, 2)), se = c(0.1, 0.3, 0.3, 0.2)) ## The following three lines work fine and produce the same graphic as seen on the example website limits <- aes(max = re...

Dear All, I have this script: dat <- data.frame(Month = hstat$Date,C_avg = hstat$C.avg,C_stdev = hstat$C.stdev) ggplot(data = dat, aes(x = Month, y = C_avg, ymin = C_avg - C_stdev, ymax = C_avg + C_stdev)) + geom_point() + geom_line() + geom_errorbar() dat <- data.frame(Month = hstat$Date,K_avg = hstat$K.avg,K_stdev = hstat$K.stdev) ggplot(data = dat, aes(x = Month, y = K_avg, ymin = K_avg - K_stdev, ymax = K_avg + K_stdev)) + geom_point() + geom_line() + geom_errorbar() dat <- data.frame(Month = hstat$Date,S_avg = hstat$S.avg...

Hello, I create a simple ggplot that only shows a straight line. I then add three datasets of CI using the geom_errorbar function. The problem is that I can't find any way to have the legend showing up ... I need to show what each color of the CIs corresponds to i.e. which method. Can anyone advice please? TIA, Best regards, Giovanni

...robably Hadley), I'm trying to do a plot like the following, composed of bars and error bars: df <- data.frame(factor1=gl(2,5), factor2=gl(5,1), y=rnorm(10), err=0.1) ggplot(df, aes(x=factor1, y=y, fill=factor2)) + geom_bar(position="dodge", stat="identity") + geom_errorbar(aes(min=y-err, max=y+err), position="dodge", width=0.1) The plot obtained has a legend named "factor2", giving as expected the colours used for the five factor levels of factor2. So far so good. However, the legend also contains solid horizontal lines, obviously representing th...

...quot;) r<-c(4.9,3.2,2.1,.2,3.8,6.4,7.5,1.7,3.4,4.1,2.2,5) #Turn spd into a factor spd.f<-factor(spd) #Place data into a data frame data<-data.frame(cbind(spd.f,r)) #Load ggplot2 library(ggplot2) #Create plot pd<-position_dodge(.2) myplot<-ggplot(data,aes(x=spd,y=r,colour=spd))+ geom_errorbar(aes(ymin=3,ymax=5),width=.1)+ geom_point()+ geom_errorbar(aes(ymin=1,ymax=6),width=.1,colour="black",position=pd) #Display plot myplot I have attached a plot that my sample code produces. As you can see the error bars are stacked. How can I get them to plot side by side? Thanks A...

I was wondering if anyone could help me with this, simple problem. I am essentially following the example on Hadley's webpage (http://had.co.nz/ggplot2/geom_errorbar.html), but it still doesn't make any sense to me. df <- data.frame(trt = factor(c("intact", "intact", "removed", "removed")), coon = c(0.093, 0.06, 0.057, 0.09), group = factor(c("veget", "fruit", "veget", "fruit&q...

Dear All, I am trying to build an error bar plot with ggplot2. However, even if the code seems to work, the plot is rather odd, with what seems to be a continuous line linking the different bars. I attach below the code I used, as well as the data. ================================================================ DFrame<-data.frame(x=1:10,y=0.5*(1:10),Upper=(1:10)+0.5, Lower=(1:10)-0.5) p

Hi, I have this script: dat <- data.frame(X = halistat$Date,Y1 = halistat$avg,Y2 = halistat$stdev) ggplot(data = dat, aes(x = X, y = Y1, ymin = Y1 - Y2, ymax = Y1 + Y2)) + geom_point() + # points at the means geom_line() + # if you want lines between pints geom_errorbar() # error bars, Y1 - Y2 and Y1 + Y2 halistat$Date values: 29/1/10 21/2/10 30/3/10 30/4/10 30/5/10 In the resulted plot the X values are sorted, how can I cancel it? Thanks. -- View this message in context: http://r.789695.n4.nabble.com/ggplot-unwanted-sorted-X-values-tp3015099p3015099.html...

Hi, i'm using this lines of code: dodge <-position_dodge(width=0.9) ggplot(dfm,aes(x = X,y = value)) + geom_bar(aes(fill = variable), position=dodge, stat="identity") + geom_errorbar(aes(ymin=value-er, ymax=value+er),width=0.25, position=dodge,stat="identity") to plot this data frame X variable value er 1 A X4 58.74 9.44 2 B X4 52.41 10.01 3 C X4 95.52 4.88 4 A X1 75.51 8.54 5 B X1 0.73 23.20 6 C X1 96.66...

Hi, I'm having problems using the 'width' aesthetic attribute for the geom_errorbarh. This is the same problem reported earlier here, but I'll try to write the problem more clearly: http://www.mail-archive.com/r-help@r-project.org/msg62371.html The problem I'm having is that, the 'width' attribute is supposed to set the height of the endpoints of the whiskers,...

...factor1, shape = factor1)) + geom_point(aes(shape=factor(factor1)), color="black", fill="white", position = "dodge", width = 0.3, size=3) + geom_line(aes(linetype=factor1), color = "black", size = 0.5) + geom_errorbar(aes(ymin = mean - sdv , ymax = mean + sdv), width = 0.3, position = "dodge", color = "black", size=0.3) + theme_bw() + ylab(expression(paste("my measured stuff"))) + xlab("factor3") + ggtitle("") + labs(color = "facto...

...0.030400 1.25 0.904000 8 0.047100 1.50 0.911000 8 0.072200 limits<-aes(ymax=NerveSurv$SAP+NerveSurv$SAPSE,ymin=NerveSurv$SAP-NerveSurv$SAPSE) p<-ggplot(data=NerveSurv,aes(x=Time,y=SAP)) p+geom_point(aes(colour=factor(Temp), shape=factor(Temp), fill=factor(Temp)), size=4) +geom_errorbar(limits,width=0.2) +xlab("Time (min)") +xlim(c(0,50)) +ylab("Normalized Spontaneous Action Potential Rate") +ylim(c(0,1.6)) +scale_shape_manual("Acclimation Temperature",breaks=c(8,18,25), labels=c("25 ºC", "18 ºC", "8 ºC"),values=c(21,21,2...

...the right figure to avoid duplication, and (3) fix the width, such that both figures have the same apparence regardless of the legend. Thank you very much in advance! The code is as follow: (a<-ggplot(Final2, aes(x=spp, y=CPUE, fill=season)) + geom_bar(position=position_dodge()) + geom_errorbar(aes(ymin=CPUE-cpue.se, ymax=CPUE+cpue.se), size=.3, width=.2, position=position_dodge(.9)) + xlab("Species") + scale_x_discrete(breaks=c("100","102","107","88","90","91&quot...

...n of the labels and the text of the labels? With a basic plot I would use axis(2, at = position.of.the.ticks, labels = text.at.the.ticks). Could someone provide me with an example of how to do this with ggplot2? The second question is probably a little bug. If I plot the y-axis in log10 scale then geom_errorbar still plot the values in the original scale. See the example below. The second plot is what I would suspect when plotting the first graph. library(ggplot2) df <- data.frame(x = rep(1:10, 10), y = rnorm(100)) df$y <- 10 ^ (df$x + df$y) df <- cbind(df, predict(lm(I(log10(y)) ~ x, data = df)...

...t;- rep(betas[p],S) data <- data.frame(x,y) classiclimits <- aes(x=x,ymax = classic[,e,p,1], ymin=classic[,e,p,2]) ownlimits <- aes(x=x+0.4,ymax = own[,e,p,1], ymin=own[,e,p,2]) rbootlimits <- aes(x=x+0.8,ymax = rboot[,e,p,1], ymin=rboot[,e,p,2]) g1 <- ggplot(data, aes(x, y)) g1 + geom_errorbar(classiclimits, colour = "red") + geom_errorbar(ownlimits, colour = "green") + geom_errorbar(rbootlimits, colour = "blue") + geom_hline(yintercept = betas[p]) + xlab("Simulation") + ylab("beta_1") + opts(title = "CI for error 'normal' a...

...uot;, "B"), order=T) # plotting: ggplot(Summ, aes(factor3, mean, group = factor1, ymin = mean - sdv , ymax = mean + sdv)) + geom_point(position = position_dodge(width = 0.25), size = 3) + geom_line(position = position_dodge(width = 0.25)) + geom_errorbar(width = 0.3, position = position_dodge(width = 0.25), size = 0.3) + facet_wrap(~Grouping, ncol = 2) + theme(strip.background = element_blank()) + scale_shape(solid = FALSE)+ theme_bw() + ylab(expression(paste("my measured stuff"))) + xlab("factor3") + theme(legend...

Hello Currently, I plot some coefficients with some intervals using function "plotCI()" (package "gplots") using the following code: (m1 <- matrix(0:5, nrow=2, byrow=T, dimnames=list(c("v1", "v2"), c("lo", "m", "hi")))) m2 <- m1 + 1 library(gplots) plotCI( x=1:length(m1[, 1]), pch="",

Hi, there: I have a dataset with 50 states and for each state, I have its associated mean estimate (for some parameters) and the lower and upper bound of the 95% CI. The data look like below: state ami_mean ami_low ami_up 1 MS -0.58630 -0.90720 -0.29580 2 KY -0.48100 -0.75990 -0.19470 3 FL -0.47900 -0.62930 -0.32130 I would like to have a plot the 95% CI (characterized by

...ta = c(mean.beta1, mean.beta2, mean.beta3), t = rep(points, 3), std.beta = c(std.beta1, std.beta2, std.beta3) ) limits = aes(ymin = mean.beta - std.beta, ymax = mean.beta + std.beta); maintitle = paste("beta function (std = ", std, ")", sep = ""); p + geom_line() + geom_errorbar(limits, width = 0.05) + ggtitle(maintitle) + theme(legend.title=element_blank(), legend.justification=c(0,1), legend.position=c(0,1))+ scale_x_continuous(breaks=seq(0, 10, .1)) + scale_y_continuous(breaks=seq(0, 13, .1)) + ylab("Beta(t)") + scale_colour_hue(breaks=c("Wrong&...