similar to: lattice xyplot - formatting of multiple Y variables when using subgroups

Hello, I would like to know how I can filter out empty plots in xyplot, when stratifying on some variables. Example: I have a dataset in which I plot CONC ~ TIME, stratified for patient ID(1,2,..,100), FORM(1,2) and BOOST (1,2). Some patients (ID's) do not have values for all stratification conditions. I.e. one patient may have values for FORM=1 and BOOST=1,2, while others may have data on

Hello, I have a data.frame with the following format: > head(clin2) Study Subject Type Obs Cycle Day Date Time 1 A001101 10108 ALB 44.00000 98 1 2004-03-11 14:26 2 A001101 10108 ALP 95.00000 98 1 2004-03-11 14:26 3 A001101 10108 ALT 61.00000 98 1 2004-03-11 14:26 5 A001101 10108 AST 33.00000 98 1 2004-03-11 14:26 I want to transform this

When I sink the output of an RWeka model to a text file, the output file appears empty: library(RWeka) model = LogitBoost(Species~.,data=iris) print(model) sink("output.txt") print(model) #file output.txt is created, but it is blank sink() Am I doing anything wrong? [[alternative HTML version deleted]]

Hello, I would like to change the background color in only -one- of the strips in a multipanel lattice xyplot, from the default yellow-brown color. Until now, I only managed to change the background strip color in all of the strips using the par.settings, but I do not get it to work for only 1 strip. Below is the current code I am using. The resulting plot is here:

Hi, How do I access the loop variables in a loop. for(i = 0; i < N; i++) for(j = 0; j < M; j++) A[i][j+k] = i + j; Is there anyway for me to know that in A[i][j+k], i & j are loop variables whereas k is not! Regards, Prasenjit Chakraborty Performance Modeling and Analysis IBM Systems & Technology Lab

Although this should be trivial, I'm having a spot of trouble. I want to make a lattice plot of the format y1+y2 ~ x | grp but then fit a lm to each y variable and add an abline of those models in different colors. If the xyplot followed y~x|grp I would write a panel function as below, but I'm unsure of how to do that with y1 and y2 without reshaping the data before hand. Thoughts

Hello, I have installed / configured samba-ldap (compiled SAMBA_2_2 from CVS) Whe i try to change the password for the root user, there is no problem. If i try to change the password of an ordinary user, i get the error: nas:~# smbpasswd -U william New SMB password: Retype new SMB password: No user to modify! Password changed for user william. Failed to modify entry for user william. Failed to

In the "filled bands" part of xYplot of the Hmisc package, is there a way to have multiple bands with multiple lines? or does it just allow one for now? So I had an example bit ago had a made up line and CI, now if I wanted to make a second line with a CI filled in can I put them on the same plot? x<-seq(1,10,1) y<-seq(1,10,1) ci<-y*.10 ciupper<-y+ci

Hi, I am new to LLVM. I want to go through all loops in a function. I see that there is a LoopPass manager that I can use. But that is not much of help, as I want to get the order of loops in CallGraphSCC order, hence I visit each function and then just want to go over the loops. Regards, Prasenjit Chakraborty Performance Modeling and Analysis IBM Systems & Technology Lab

On Oct 12, 2009, at 3:46 AM, Prasenjit Chakraborty wrote: > > Hi, > How do I access the loop variables in a loop. > > for(i = 0; i < N; i++) > for(j = 0; j < M; j++) > A[i][j+k] = i + j; > > Is there anyway for me to know that in A[i][j+k], i & j are loop > variables > whereas k is not! The ScalarEvolution analysis can help here.

All I want to overlay two variables on the same plot following their appropriate grouping. I have attempted to use subscripting in panel with panel.xyplot, but I can't get the grouping to follow into the panel...here is an example... dat<-data.frame( y= log(1:10), y2=10:19, x=1:10, grp = as.factor(1) ) dat2<-data.frame( y= log(10:19), y2= 20:29, x=1:10, grp = as.factor(c(2)) )

Hi, I would like to create a plot of y1,y2,y3,y4 against x for several subjects such that y1 and y2 are plotted against x in one panel and y3 and y4 against x in another panel. Thus if there are 3 subjects I should end up with 6 panels. Is there a simple way of doing so (i.e. without calling xyplot() several times, and then padding the results together)?? Regards S?ren

Dear R-users, I want to multiple impute missing scores, but only for a few subgroups in my data (variable 'subgroups': only impute for subgroups 2 and 3). Does anyone knows how to do this in MICE? This is my script for the multiple imputation: imp <- mice(data, m=20, predictorMatrix=pred, post=post, method=c("", "", "", "",

Hello, I'm using the rmeta package to perform a meta analysis using summary statistics rather than raw data, and would like to analyze the effects in three different subgroups of my data. Furthermore, I'd like to plot this on one forest plot, with corresponding summary weighted averages of the effects displayed beneath each subgroup. I am able to generate the subgroup analyses by simply

Hello, we want to plot a proportional symbol map with ggplot. Symbols' area should have the same proportions as the scaled variable. Hereby an example we found on http://www.r-bloggers.com/bubble-chart-by-using-ggplot2/ . In this example we see the proportions of the symbols' area are different from the proportions of the scaled variable: crime <-

# Dear all, # how to replace values in x by means in subgroups created in ... # replace only these values where y=0 in continous sequence # replace by mean calculated locally for each subgroup created by # continous sequence of 0,0,0 in parallel y vector, i.e. # where there is continous sequence of 0 in data frame vector y # but we do not replace values in x[i], if y[i]!=0 # we do not want

Hi All, Is there a feasibility for creating subgroups on the Puppet Dashboard? Basically the requirement is that we have a huge number of VMs running designated services. Some of VMs having the same service may yet have different properties configured on them. We are exploring the feasibility of having these properties managed through puppet. Currently all these VMs are put into a single

I'm hoping there is a simple answer to this - it seems that there should be, but I can't figure it out. I have a matrix/data frame with three variables of interest - V1, V2, V3. One, V1, is a factor with x levels (x may be a large number); I want to calculate the correlation between the other two (i.e. cor(V2,V3)) for each level, and store it as a vector of length x. I should think this

Hi all! Here's the problem we have since patching Monday night. Tuesday morning Samba wasn't running, but started fine, and everything seemed to be working. Were currently running samba3.0.24-2.23 and I believe before the patch we were running samba3.0.22-13.30. We have some samba shares where we have subgroups that only a select group of people of the parent group are allowed to

Dear R experts, Wish you all a HAPPY NEW YEAR! How do I go about plotting (using lattice) overlays of an ID (group=ID) observed, fitted data in each panel of a multiple panel plot (each panel identified by DS1 + DS2 + DS3)? "x" variable is X1 in the accompanying section of a dataset. each individual is identified by color and Y's are identified by "pch" or "lty".