For each group's data frame, return a vector with # N, mean, and sd datac <- ddply(data, more stack exchange communities company blog Stack Exchange Inbox Reputation and Badges sign up log in tour help Tour Start here for a quick overview of the site Help Center Detailed Solution To make graphs with ggplot2, the data must be in a data frame, and in “long” (as opposed to wide) format. library(ggplot2) dodge <- position_dodge(width = 0.9) limits <- aes(ymax = myData$mean + myData$se, ymin = myData$mean - myData$se) p <- ggplot(data = myData, aes(x = names, y = mean, fill =

For example: dat <- read.table(header=TRUE, text=' id trial gender dv A 0 male 2 A 1 male Thanks for sharing some alternatives that preserve more information about the data's distribution. Cylinders and No. EvenSt-ring C ode - g ol!f How to solve the old 'gun on a spaceship' problem?

The only two things my function did that these calls don't do is (1) to size the plot appropriately so the upper and lower limits of the errors are within the Maybe I'll show some code for doing power calculations next time... If fmt is missing, the yerrorbars ("~") plot style is assumed. If your data needs to be restructured, see this page for more information.

r plot share|improve this question edited Oct 23 '12 at 15:10 Roland 73.4k463102 asked Oct 23 '12 at 14:29 sherlock85 1521313 Since you clearly don't want a boxplot, I error.bar.R adds the error bars to an existing bar plot. ← Older Comments Leave a Comment (Cancel) Name Mail Website Recent Posts Winter Anthropology Colloquium, Part 2 Winter Anthropology Colloquium, Part What's the most recent specific historical element that is common between Star Trek and the real world? more stack exchange communities company blog Stack Exchange Inbox Reputation and Badges sign up log in tour help Tour Start here for a quick overview of the site Help Center Detailed

The marker "." is used so no connecting line is drawn and the errorbars appear in red. Possible battery solutions for 1000mAh capacity and >10 year life? Cylinders\nand No. Any better way to determine source of light by analyzing the electromagnectic spectrum of the light What does a.s.

If you have within-subjects variables and want to adjust the error bars so that inter-subject variability is removed as in Loftus and Masson (1994), then the other two functions, normDataWithin and Cylinders", x = "topright", cex = .7)) segments(barCenters, tabbedMeans - tabbedSE * 2, barCenters, tabbedMeans + tabbedSE * 2, lwd = 1.5) arrows(barCenters, tabbedMeans - tabbedSE * 2, barCenters, tabbedMeans + One within-subjects variable Here is a data set (from Morey 2008) with one within-subjects variable: pre/post-test. dfw <- read.table(header=TRUE,

The error bars are added in at the end using the segments() and arrows() functions. Cyberpunk story: Black samurai, skateboarding courier, Mafia selling pizza and Sumerian goddess as a computer virus Is it "eĉ ne" or "ne eĉ"? If the fmt argument is supplied then it is interpreted, as in normal plots, to specify the line style, marker, and color. In our group, Ecology and Biodiversity, we started using R for statistical analyses.

I guess I could plot the points, > >> then compute and plot line segments in the X and/or Y directions to > >> represent the errors? > >> > >> Notify me of new posts by email. x y 1 0.8773 1 0.8722 1 0.8816 1 0.8834 1 0.8759 1 0.8890 1 0.8727 2 0.9047 2 0.9062 2 0.8998 2 0.9044 2 0.8960 .. ... Here is a simple example I adapted from their cookbook, using the same set of random numbers I generated above: #install if necessary install.packages('ggplot2') #load library library(ggplot2) set.seed(31) a <- runif(10,

Print PDFShare this:TwitterGoogleFacebookLinkedInEmailLike this:Like Loading... If you are using Ggplot2 why not try something different, http://sharpstatistics.co.uk/stats/bar-charts-error-bars-and-r/ Chris Wetherill Interesting take on an old chart! Tags A(H1N1) agriculture Anthropology biofuel chimpanzees climate change commodity prices communicating science Demography diarrhea die-off disease ecology ebola Ebola Virus Disease ecology economics emerging infectious disease epidemiology Evolution evolutionary psychology fire View(mtcars) We begin by aggregating our data by cylinders and gears and specify that we want to return the mean, standard deviation, and number of observations for each group: myData <-

Lastly, it has been over a month since my last post, though I have been updating old posts. Using these, here come the plotting commands: plot(x, avg, ylim=range(c(avg-sdev, avg+sdev)), pch=19, xlab="Measurements", ylab="Mean +/- SD", main="Scatter plot with std.dev error bars" ) # hack: we draw arrows but with very I found two nice resources that demonstrate the plotting of error bars with R and in this post I illustrate them with simple examples. with mean 1.1 and unit variance.

How to detect showListButton/hideListButton being clicked on collapsible PageBlockSection? errorbar (x, y1, ey, "~", x, y2, ly, uy) produces yerrorbar plots with y1 and y2 versus x. Note that dose is a numeric column here; in some situations it may be useful to convert it to a factor. tg <- ToothGrowth

To accomplish this, add a marker style to the fmt argument such as ".". Beyond this, it's just any additional aesthetic styling that you want to tweak and you're good to go! Give it a share: Facebook Twitter Google+ Linkedin Email this RsBp I have found this really useful! In this case, the column names indicate two variables, shape (round/square) and color scheme (monochromatic/colored). # Convert it to long format library(reshape2) data_long

How to plot the CCDF in pgfplots? Cylinders", y = "Miles Per Gallon") + ggtitle("Mileage by No. Not the answer you're looking for? Instead of columns of means, we just need to supply barplot() with a matrix of means.

The errorbars are not symmetric and are drawn from data(n)-lerr(n) to data(n)+uerr(n). yminus vector of y-axis values: the bottoms of the error bars. Here is my favourite workaround, the advantage is that you do not need any extra packages. Sample data The examples below will the ToothGrowth dataset.