similar to: Put two plots side by side

You can save as png like this too: library(ggplot2) data=data.frame( ? X=sample(10,1000,replace=T) ? , Y=letters[1:10]) png("mypng.png") qplot(X, data=data, geom='histogram') + facet_wrap( ~ Y) dev.off() ? Felipe D. Carrillo Supervisory Fishery Biologist Department of the Interior US Fish & Wildlife Service California, USA ----- Original Message ---- > From: Peng Yu

ggplot2 ------------------------------------------------------------ ggplot2 is a plotting system for R, based on the grammar of graphics, which tries to take the good parts of base and lattice graphics and avoid bad parts. It takes care of many of the fiddly details that make plotting a hassle (like drawing legends) as well as providing a powerful model of graphics that makes it easy to produce

ggplot2 ------------------------------------------------------------ ggplot2 is a plotting system for R, based on the grammar of graphics, which tries to take the good parts of base and lattice graphics and avoid bad parts. It takes care of many of the fiddly details that make plotting a hassle (like drawing legends) as well as providing a powerful model of graphics that makes it easy to produce

With this data x <- c(0,0,1,1,2,2) y <- c(5,6,4,3,2,6) lwr <- y-1 upr <- y+1 xlab <- c("Low","Low","Med","Med","High","High") mydata <- data.frame(x,xlab,y,lwr,upr) I would like to make a dot plot and use lwr and upr as error bars. Above 0=Low. I would like there to be some space between the 5 and the 6 corresponding

Dear list members, I'm running some tests looking at differences between means for various levels of a factor, using Tukey's HSD method. I would like to plot the data as boxplots or dotplots, with horizontal significance lines indicating which groups are statistically significantly different, according to Tukey HSD. Here's a nice image showing an example of such a graphical

Dear all I would like to superpose some smoothing line through boxplot in ggplot > dput(ad) structure(list(konc.f = structure(c(1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 6L, 6L, 6L, 7L, 7L, 7L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 4L, 4L, 4L,

Dear guRus, I am starting to work with the ggplot2 package and have two very dumb questions: 1) deterministic position_jitter - the jittering is stochastic; is there any way to get a deterministic jittering? For instance: example.data <- data.frame(group=c("foo","bar","foo","bar","foo","bar"),x=c(1,1,2,2,3,3),y=c(1,1,0,2,1,1))

> On Mar 26, 2018, at 17:09, Andres Freund <andres at anarazel.de> wrote: > > Hi, > > On 2018-03-26 16:44:05 -0700, Duncan P. N. Exon Smith wrote: >>> The second approach is to *not* cache modules but re-read them from disk >>> (or memory, but that's irrelevant here). That works without any sort of >>> asserts, but "leaks" memory

Hi: I am practicing with the attached shapefile and was wondering if I can get some help. Haven't used 'rgdal' and 'maptools' much but it appears to be a great way bring map data into R. Please take a look at the comments and let me know if I need to explain better what I am trying to accomplish. library(rgdal) library(maptools) library(ggplot2) dsn="C:/Documents and

Hi Mike-M, Thanks for the help. It seems I'll have to just download the precompiled binaries since I only have 1 Gig in the entire system I'm using. --Sam ----- Original Message ---- > From: mike-m <mikem.llvm at gmail.com> > To: Samuel Crow <samuraileumas at yahoo.com> > Sent: Wed, May 5, 2010 3:36:34 PM > Subject: Re: [LLVMdev] Another bad binutils? >

Text is really small and legend boxes are huge in this plot when saved to .png with ggsave. Plot is correct (i.e. looks the same as the screen) when saved with dev.print. Saving to .pdf with ggsave give the correct output. I'm a noob at ggplot2 so this may be user error rather than a bug. However the interface to ggsave seems simple enough to exclude many possibilities for screwing this up

ggplot2 ------------------------------------------------------------ ggplot2 is a plotting system for R, based on the grammar of graphics, which tries to take the good parts of base and lattice graphics and avoid bad parts. It takes care of many of the fiddly details that make plotting a hassle (like drawing legends) as well as providing a powerful model of graphics that makes it easy to produce

ggplot2 ------------------------------------------------------------ ggplot2 is a plotting system for R, based on the grammar of graphics, which tries to take the good parts of base and lattice graphics and avoid bad parts. It takes care of many of the fiddly details that make plotting a hassle (like drawing legends) as well as providing a powerful model of graphics that makes it easy to produce

Suppose that I have the following list of lists of frames 'root' (let's call it a 'tree' of frames). I want to flatten it to be a list of frames. However, if I unlist(root), it will flatten the frames as well. Is there a simply way to flatten the tree to certain depth? aframe1=data.frame(x=1:3,y=1:3) aframe2=data.frame(u=7:9,v=11:13) aframe3=data.frame(p=3:5,q=6:8)

I have a python script that monitors the VMs on physical host servers running Xen, but the script doesn't work properly on a server I just built with KVM. The script runs as a non-root user and simply gathers some details on the status and names of the domains running on the host. Both Xen and KVM servers are running the same version of libvirt (libvirt-0.6.3-20.1.el5_4) and have the

I have a python script that monitors the VMs on physical host servers running Xen, but the script doesn't work properly on a server I just built with KVM. The script runs as a non-root user (same on all servers) and simply gathers some details on the status and names of the domains running on the host. Both Xen and KVM servers are running the same version of libvirt

Dear all, One of the functions that I wrote (ggsave.latex) extents the functionality of a function (ggsave) in another package (ggplot2). Instead of copying all the information I would like to create a link in the helpfile of ggsave.latex to the helpfile of ggsave. I tried \code{\link{ggsave}} and \code{\link{ggplot2::ggsave}}, but neither worked. Both cases gave a 'missing link' warning.

I have a python script that monitors the guest VMs on a servers running Xen, but the script doesn't work properly on a server I just built with KVM. The script runs as a non-root user (same on all servers) and simply gathers some details on the status and names of the domains running on the host. The Xen and KVM servers are running CentOS 5.4 x86_64 and are using the same version of

In the example below, from http://www.ling.upenn.edu/~joseff/rstudy/summer2010_ggplot2_intro.html I'd like to make (a) the fitted line thicker and (b) change the background fill color for the confidence envelope around each fitted line to a low-alpha transparent version of the same color used for the separate fitted lines for GENDER, rather than grey for both. How can I do this?

[moved from -dev, as the thread is better suited for -users] At 5:10 PM -0600 1/30/04, James Sharp wrote: > > I've pretty much got the routing covered at this point, I'm just not sure >> how to get the Asterisk system to answer and give me dialtone immediately. >> Any ideas or recommendations would be greatly appreciated. > >app_disa will give answer and give