Displaying 20 results from an estimated 2000 matches similar to: "sourcecode for the balloonplot function from the gplots package"
2012 Aug 24
1
help with a special variant of balloonplot
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 :
2006 Jul 03
1
xlab, ylab in balloonplot(tab)?
I'm not understanding something.
I'm trying to add xlab & ylab to a balloon plot of a table object. From docs
I thought following should work:
require(gplots)
# From balloonplot example:
# Create an example using table
xnames <- sample( letters[1:3], 50, replace=2)
ynames <- sample( 1:5, 50, replace=2)
tab <- table(xnames, ynames)
balloonplot(tab)
2007 Nov 02
0
gplots 2.5.0
Announcing gplots 2.5.0
---------------------------------
gplots provides additional plotting functions, including several
enhanced versions of base R functions.
Provided functions include:
balloonplot, bandplot, barplot2, boxplot.n, colorpanel, heatmap.2,
hist2d, lowess, ooplot, overplot, plot.lm2, plotCI, plotmeans,
qqnorm.aov, residplot, rich.color, sinkplot, smartlegend, space,
2007 Nov 02
0
gplots 2.5.0
Announcing gplots 2.5.0
---------------------------------
gplots provides additional plotting functions, including several
enhanced versions of base R functions.
Provided functions include:
balloonplot, bandplot, barplot2, boxplot.n, colorpanel, heatmap.2,
hist2d, lowess, ooplot, overplot, plot.lm2, plotCI, plotmeans,
qqnorm.aov, residplot, rich.color, sinkplot, smartlegend, space,
2012 Aug 22
1
strange behaviour when sourcing inside function
Dear R community,
I encounter a problem that is counterintuitive to my understanding of
the documentation of source and the "local" argument of that function.
With the following code, I would expect the content of "test.R" to be
evaluated inside the environment of the function "test". This, however,
does not seem to be the case as the object "a" can
2012 Aug 22
1
Plot label axis with expression
Hi all,
I need help with axis in plot.
I want to edit y axis label of my plot. My data is like:
x <- c(100,50,10,1,0.1,0.05,0.001)
plot(log(x))
axTicks(2) # Label of y axis
[1] -6 -4 -2 0 2 4
I'd like that y axis label was like: e^-6, e^-4, etc. (with text "e"
superscript -6, -4, etc.) I try to use expression(), but don't work.
plot(log(x), yaxt="n")
2012 Aug 24
1
Regular expressions: stuck again...
Hi,
I'm currently reworking a report, originating from a MS Access database, but
should be implemented in R.
Now I'm facing the task to convert a lot of queries to postgreSQL.
What I want to do is make a function which takes the MS Access query as an
argument and returns the pgSQL version.
So:
SELECT [public_tblFiche].[Fichenr], [public_tblArtnr].[Artnr] FROM
[public_tblFiche],
2012 Aug 24
1
RJSONIO/rjson maximum depth?
Hi All,
has anyone run into maximum depth of nested JSON arrays in either rjson or
RJSONIO ?
I seem to be able to get up to 10 depth levels without problem, but
crossing over to 11 either causes an error or fails to load the nodes
properly.
with RJSONIO I tried:
a = fromJSON('data/myJSON.json', depth=1000)
but I still get this error:
Error in fromJSON(content, handler, default.size,
2012 Aug 21
2
Entering a table
I'm trying to enter a frequency table manually so that I can run a
goodness of fit test (I only have the frequencies, I don't have the
raw data).
So for example, let's say I want to re-create the HorseKicks table:
library(vcd)
data(HorseKicks)
str(HorseKicks)
'table' int [1:5(1d)] 109 65 22 3 1
- attr(*, "dimnames")=List of 1
..$ nDeaths: chr [1:5]
2012 Aug 21
7
Regular Expressions in grep
Dear r-help members,
I have a number in the form of a string, say:
a<-"-01020.909200"
I'd like to extract "1020." as well as ".9092"
Front<-grep(pattern="[1-9]+[0-9]*\\.", value=TRUE, x=a, fixed=FALSE)
End<-grep(pattern="\\.[0-9]*[1-9]+", value=TRUE, x=a, fixed=FALSE)
However, both strings give "-01020.909200", exactly
2012 Aug 28
5
return first index for each unique value in a vector
I would like to efficiently find the first index of each unique value in a
very large vector.
For example, if I have a vector
A<-c(9,2,9,5)
I would like to return not only the unique values (2,5,9) but also their
first indices (2,4,1).
I tried using a for loop with which(A==unique(A)[i])[1] to find the first
index of each unique value but it is very slow.
What I am trying to do is easily
2005 Dec 13
0
Updated version of gdata, gtools, gplots and gmodels
Hello,
We have submitted the updated version of gdata, gmodels, gplots and gtools to CRAN.
Summary of the changes is attached at the end.
Best,
Nitin
______________________
Nitin Jain, PhD
<nitin.jain at pfizer.com>
Non Clinical Statistics
Pfizer, Inc. (Groton, CT)
Bldg: 260, # 1451
Ph: (860) 686-2526 (Office)
Fax: (860) 686-6170
Brief description of changes:
CHANGES IN GDATA 2.1.2
2005 Dec 13
0
Updated version of gdata, gtools, gplots and gmodels
Hello,
We have submitted the updated version of gdata, gmodels, gplots and gtools to CRAN.
Summary of the changes is attached at the end.
Best,
Nitin
______________________
Nitin Jain, PhD
<nitin.jain at pfizer.com>
Non Clinical Statistics
Pfizer, Inc. (Groton, CT)
Bldg: 260, # 1451
Ph: (860) 686-2526 (Office)
Fax: (860) 686-6170
Brief description of changes:
CHANGES IN GDATA 2.1.2
2012 Aug 17
3
Error: level sets of factors are different?
Why the error is coming? even though the length of outcome.new$compkey and outcome.new$armkey were exactly same.
Can anyone help?
setwd("D:/AZ")
library("RODBC")
cdb_cnct <- odbcConnectExcel("AZIF_DC_GVK_NSCLC_MSALL_287papers_02072012_141450_v1_4.xls")
outcomes <- sqlFetch(cdb_cnct, "Outcomes_info")
odbcClose(cdb_cnct)
rm(cdb_cnct)
2012 Aug 20
7
relating data in two data frames
Hi,
My data.frame "A" has FID like this
FID
a
a
b
b
b
c
c
d
d
d
d
Now my second data.frame "B" has age value for a, b, c, d like
FID Age
a 5
b 7
c 9
d 3
How can search for the Age column in "B" and replace the values in "A" so that my new "A" looks like this
FID Age
a 5
a 5
b 7
b 7
b 7
2005 Dec 18
1
package unlisted (PR#8410)
Full_Name: Cesar Henrique Torres
Version: 2.2.0
OS: winXP-pro
Submission from: (NULL) (201.1.196.50)
Hi developer's!
I'd like to know were gtools package is, because in the link below it isn't:
http://cran.r-project.org/bin/windows/contrib/r-release/
This package is used in gplots and I'm trying to make a balloonplot.
Thanks a lot,
Cesar Torres.
2008 Jul 11
2
Problems with Package Installation.
I am having difficulty installing packages. For example, here I have tried to
install "gplots" but to no avail. I have tried multiple mirrors and
different packages (errbar) but after installation I seem to be unable to
access any of the commands or help pages. I am a little concerned about the
'lib' missing message but this has been present for previous successful
package
2012 Aug 24
6
updating elements of a vector sequentially - is there a faster way?
I would like to know whether there is a faster way to do the below
operation (updating vec1).
My objective is to update the elements of a vector (vec1), where a
particular element i is dependent on the previous one. I need to do this on
vectors that are 1 million or longer and need to repeat that process
several hundred times. The for loop works but is slow. If there is a faster
way, please let
2010 Nov 03
4
Drawing circles on a chart
Dear Group,
I have the following data matrix which is a timeseries.
> dput(tData)
structure(list(A = c(0.2, 0.13, 0.05, 0.1, 0.02, 0.18, 0.09,
0.06, 0.13), B = c(0.15, 0.06, 0.09, 0.02, 0.03, 0.12, 0.01,
0.15, 0.06), C = c(-0.1, 0, -0.07, -0.06, -0.05, -0.05, -0.06,
-0.08, -0.07), D = c(-0.15, -0.05, -0.1, -0.03, -0.13, -0.04,
-0.1, -0.04, -0.15), E = c(-0.17, -0.16, -0.08, -0.07, -0.09,
2008 Aug 02
3
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))