search for: dodged

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 =

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

...ame. I would like that the points are shifted accordingly, such that they line up with the boxplots. I tried position_dodge: ggplot(ddf, aes(x, y, colour=grp)) + geom_boxplot() + geom_point(aes(ymax=max(y)), position = position_dodge(width=.75)) but that did not really help, as all points are now dodged and I just want to have a fixed offset for each subgroup of points such that the boxplot and the points are aligned. Any ideas? Kind Regards, Thorn Thaler Mathematician Applied Mathematics Nestec Ltd, Nestl? Research Center PO Box 44 CH-1000 Lausanne 26 Phone: +41 21 785 8220 Fax: +41 21 785...

Hi ggplot experts, I need to plot two time series of stacked data: a barchart with bars for each month. To compare the data of two years I need to combine both time series with in a single graph via position=doge. How should I do that? I tried the following scenario: I added two layers with the time series of the stacked data for both years. That worked well exept the bars are obscuring each

Hello, I am trying to plot means and standard errors conditioned by a factor, using qplot. I am successful at getting the bar graph I want with a error bar, however I have tried many things and cannot get the bars to change colors. Currently showing as red and blue, but need it to be black and white for publication. Any suggestions please? Using a data set June, which is str:

Dear List, (self-contained example + version info at the bottom) I'm having trouble producing a barplot using the functions in ggplot2. When I use the position="dodge" option, the bars are plotted but also a number of spurious markers. More specifically, a number of black dots are plotted in the graph that should not be there. This behaviour is not seen when calling the same

Forgot to ask, can this patch be added into dovecot for the next update ? (just to make life a little easier for us rpm'ers) -- Chris L. Franklin -- ----- Original Message ----- From: "Chris L. Franklin" <cfranklin at nomadcf.com> To: <dovecot at dovecot.org> Sent: Sunday, January 30, 2005 1:49 PM Subject: RE: Dovecot doesn't call pam_open_session, thus dodging

Hi, # For publications, I am not allowed to repeat the axes. I have tried to remove the axes using: # yaxt="n", but it did not work. I have not understood how to do this in ggplot2. Can you help me? # I also do not want loads of space between the graphs (see below script with Dummy Data). # If I could make it look like the examples on the (nice) examples page: #

It appears that ggplot reorder the data for a "dodged" histogram based on whether or not a specific variable has a value in the first bin.   I would like to be able to absolutely force the order of the variables in the bin.  For example, say I have three variables Me, You, and Them.   Me_df<-data.frame(Data = c(1:15), Person = "Me"...

I am trying to create a barplot displaying the sums of 2 columns of data grouped by a variable. the data is set up like this: "city" "n" "y" <br> mon 100 200 <br> tor 209 300 <br> edm 98 87 <br> mon 20 76 <br> tor 50 96 <br> edm 62 27 <br> the resulting plot should have city as the x-axis, 2 bars per city, 1 representing

This is great I've been wanting to get rid of my NFS mounts for some time and have just the user MailDirs be local to the web server. And this will help alot ! -- Chris L. Franklin -- > Message: 1 > Date: Thu, 27 Jan 2005 16:08:28 -0700 > From: Nicolas Lopez <nlopez at espri.arizona.edu> > Subject: [Dovecot] Dovecot doesn't call pam_open_session, thus dodging >

Hello HelpeRs, The last print statement in the code segment below results in : Error in data$x[data$x == -Inf] <- range$x.range[1] : replacement has length zero R version 2.14.1 Patched (2011-12-23 r57982) ggplot2: version 0.90 OS : Linux (64bit) Any thoughts? Many Thanks, A. ## code segment starts here df <- data.frame( trt = factor(c(1, 1, 2, 2)), resp = c(1, 5,

Hello again, everytime I think I got something to work, the next issue comes up... I have the following data.frame, I want to visualize: > data_rb tld spam1 spam2 share 1 ca 826436 73452 0.0889 2 org 470550 25740 0.0547 3 de 156042 15531 0.0995 4 com 140753 7527 0.0535 5 edu 34845 2507 0.0719 6 net 12781 382 0.0299 7 ru 7648 18 0.0024

On Tue, 1 Feb 2005, it was written: > Nicolas Lopez wrote: > > maildir and most of my accounts in LDAP. Since the accounts are created > > through a web interface on another server home directories on the mail > > server don't get created automatically. There's the handy pam module > > pam_mkhomedir.so to automagically create home directories, but >

It is not generally advisable to get too fancy with stat functions in ggplot... things can easily get more complicated than ggplot is ready to handle when it comes to calculations. It is better to create data that corresponds directly to the graphical representations you are mapping them to. Read [1] for more on this philosophy. [1] H. Wickham, Tidy Data, Journal of Statistical Software,

Dear R-users, i encountered some problems when trying to adjust the line width of the axes and stripes in a plot created with ggplot2. I use the "barley" dataset of the lattice package to illustrate my problem: library(ggplot2) library(lattice) barley[["SD"]] <- 5 limits <- aes(ymax=barley$yield + barley$SD,ymin=barley$yield - barley$SD) p1 <-

Hi, I wanted to generate a plot which is almost like the plot generated by the following codes. category <- paste("Geographical Category", 1:10) grp1 <- rnorm(10, mean=10, sd=10) grp2 <- rnorm(10, mean=20, sd=10) grp3 <- rnorm(10, mean=15, sd=10) grp4 <- rnorm(10, mean=12, sd=10) mydat <- data.frame(category,grp1,grp2,grp3,grp4) dat.m <- melt(mydat) p <-

I hit a small snag using Dovecot-imapd smoothly in my environment with maildir and most of my accounts in LDAP. Since the accounts are created through a web interface on another server home directories on the mail server don't get created automatically. There's the handy pam module pam_mkhomedir.so to automagically create home directories, but unfortunatly Dovecot wasn't calling

Dear list (probably 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

Hi, Please consider the example below. How can I manage to overlay the points the way I want in the second case? Thanks, Joh library(ggplot2) # Modify data to match "real" case myDiamonds <- diamonds myDiamonds[["clarity"]] <- as.character(myDiamonds[["clarity"]]) myDiamonds[myDiamonds[["clarity"]]=="I1","clarity"] <- 1