[R] Bubble plots

Is there a way to create a 'bubble plot' in R? For example, if we define the following data frame containing the level of y observed for 5 patients at three time points: time<-c(rep('time 1',5),rep('time 2',5),rep('time 3',5)) y<-c('a','b','c','d','a','b','c','a','d','a','a','a','b','c','d') D<-

[R] FW: Bubble plots

Is there a way to create a 'bubble plot' in R? For example, if we define the following data frame containing the level of y observed for 5 patients at three time points: time<-c(rep('time 1',5),rep('time 2',5),rep('time 3',5)) y<-c('a','b','c','d','a','b','c','a','d','a','a','a','b','c','d') D<-

Re: [R] FW: Bubble plots

Thank you Hadley - I will explore each of these options! Regards, -Cody From: hadley wickham [EMAIL PROTECTED] Sent: Saturday, August 02, 2008 6:24 AM To: Frank E Harrell Jr Cc: Cody Hamilton; r-help@r-project.org Subject: Re: [R] FW: Bubble plots On

Re: [R] FW: Bubble plots

Dear John, I will look forward to trying this out as well. Regards, -Cody From: John Fox [EMAIL PROTECTED] Sent: Saturday, August 02, 2008 11:41 AM To: hadley wickham; Frank E Harrell Jr Cc: r-help@r-project.org; Cody Hamilton Subject: Re: [R] FW

Re: [R] FW: Bubble plots

", panels) : second argument must be a list.' Have I made a mistake? By the way, is there a way to make the symbols on the plot the actual values of y? For instance, the frequency of level 'a' at time point 'time 1' could be represented by a red 'a' i

Re: [R] tukeyHSD

gards, -Cody Cody Hamilton Edwards Lifesciences -Original Message- From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On Behalf Of hodgess Sent: Thursday, January 03, 2008 8:18 AM To: José Alberto Monteiro; [EMAIL PROTECTED] Subject: Re: [R] tukeyHSD Suppose you have an aov model x.aov

Re: [R] Can anyone help??

Try replacing '\' with '/' Regards, -Cody Cody Hamilton Edwards Lifesciences -Original Message- From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On Behalf Of hoogeebear Sent: Wednesday, January 16, 2008 10:35 AM To: r-help@r-project.org Subject: [R] Can any

[R] Adaptive design code

he code is failing to add sufficient additional sample size at the interim look, although I can't understand why. Perhaps someone will see something I don't . . . Best regards, -Cody Hamilton #

Re: [R] Cox regression and p-values

42:198-202. Regards, -Cody Cody Hamilton Edwards Lifesciences -Original Message- From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On Behalf Of Daniel Brewer Sent: Tuesday, September 18, 2007 9:42 AM To: [EMAIL PROTECTED] Subject: [R] Cox regression and p-values Hello, I might be barki

Re: [R] Estimate correlation with bootstrap

Andreas, To do pairwise bootstrap sampling, try for (i in 1:1000) { ind<-sample(1:10,10,replace=TRUE) boot.com.ab[i]<-cor(a[ind],b[ind]) } Regards, -Cody Cody Hamilton Edwards Lifesciences -Original Message- From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On Behalf Of A

[R] Repeated tests against baseline

to no avail. I am wondering if anyone knows of a paper I can quote instead? One (or more) from the cardiovascular literature would be especially precious to me. Best regards, -Cody Hamilton [[alternative HTML version deleted]] __ R-h

Re: [R] Repeated tests against baseline

: Greg Snow [mailto:[EMAIL PROTECTED] Sent: Wednesday, September 26, 2007 3:24 PM To: Cody Hamilton; [EMAIL PROTECTED] Subject: RE: [R] Repeated tests against baseline Here are a couple to look at, they may be helpful and the references in them may give you a specific example that you can use (read

Re: [R] R and FDA trials

Ricardo, Tony Rossini (Novartis) provided a very good post on point (3) below (which you may have already read): http://tolstoy.newcastle.edu.au/R/e2/help/07/08/23820.html. Regards, -Cody -Original Message- From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On Behalf Of Ricardo Pietr