On 2012-08-26 15:00, ravi wrote:
Hi Peter and r-list members,
Thanks a lot for your help. Your solution with the myballoonplot has solved two
issues : the original numbers are retained in the table and the colour
locations are right. But I have one more requirement - that the sizes should be
proportional to the magnitude of the new variable, Freqdev. As it stands, the
balloonsizes are the same as before i.e. proportional to the magnitude of Freq.
It appears to me that the myballoonplot function must take in an additional
argument, the variable that decides the balloon size.
Not so for me. But I had fixed your definition of Freqdev to be:
Freqdev <- survived$Freq - FreqThresh
You can put it all in a function that will let you play with the
threshold value:
plotme <- function(data, threshold, col1="green", col2="magenta"){
z <- data$Freq - threshold
x <- data$Class
y <- list(data$Age, data$Sex)
colors <- ifelse(z > 0, col1, col2)
myballoonplot(x, y, z, show.zeros=TRUE,
show.margins=FALSE,
cum.margins=FALSE,
dotcol=colors,
main="yadayada")
}
plotme(survived, threshold=50)
Peter Ehlers
I will try to dig into the code to see how this new parameter can be
accomodated into the code. I must confess that I am far from a pro at
this sort of stuff. I will appreciate it if I can get some help.
However, I will also give it a try myself. Will come back later if I run
into problems.
Thanks,
Ravi
----- Original Message -----
From: Peter Ehlers <ehl...@ucalgary.ca>
To: ravi <rv...@yahoo.se>
Cc: "r-help@r-project.org" <r-help@r-project.org>
Sent: Sunday, 26 August 2012, 1:13
Subject: Re: [R] help with a special variant of balloonplot
On 2012-08-24 09:12, ravi wrote:
Hi,
I am interested in implementing a special variant of
balloonplot. Let me
explain with an example dataset from the reference manual :
library(gplots)
data(Titanic)
dframe<-as.data.frame(Titanic)
survived<-dframe[dframe$Survived=="Yes",]
attach(survived)
balloonplot(x=Class,y=list(Age,Sex),z=Freq,sort=TRUE,show.zeros=TRUE,cum.margins=FALSE,
main="BalloonPlot : Surviving passengers") # standard plot
# Now comes the attempt at something more special
FreqThresh=50 # A threshold level
Freqdev<-Freq-FreqThresh # A new variable
colors=ifelse(Freqdev>0,"green","magenta")
balloonplot(x=Class,y=list(Age,Sex),z=Freqdev,sort=TRUE,show.zeros=TRUE,cum.margins=FALSE,dotcol=colors,
show.margins=FALSE,main="BalloonPlot : Surviving passengers")
I am interested in a table with the
values unchanged from the titanic dataframe. These values should be highlighted
in balloons in two different colours, let’s say, green and magenta. For
positive values of Freqdev, the balloons will be green and have a size
depending on the magnitude of Freqdev. For negative values of Freqdev, the
balloons
will have a colour of magenta and have a size proportional to the absolute
values of Freqdev.
I am not sure if a simple tweak can lead to a solution.
I see that you have by now received help on how to access the
source code for balloonplot.default. Here's the change you
probably have in mind for the above:
In balloonplot.default(), find the following two lines (they're
in a function myscale() defined within balloonplot):
X[X<0] <- 0
X <- sqrt(X)
Comment out these lines and replace them with
X <- sqrt(abs(X))
Save the resulting function as myballoonplot and use that in
your code.
While you're at it, you might remove the attach(survived)
statement and use
with(survived, myballoonplot(....))
Peter Ehlers
I will appreciate any help that I can get.
Thanks,
Ravi
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