similar to: subset and lme

Hello there, I'm trying to do lots of plots in one for-loop. But somehow ggplot does not evaluate arguments as expected. Here is an example: library(lattice) library(ggplot2) pl <- list() pl2 <- list() cDat <- as.data.frame(cbind(x1=0:100,x2=0:10,x3=1:20)) for(obs in c("x1", "x2")) { pl[[obs]] <- xyplot(cDat[,obs] ~ cDat[,"x3"], main=obs)

Hi to all, test <- data.frame("X"=c(1:4),"Y"=c(5:8),"Z"=c(8:11)) test <- test[,-2] Is there a way to specify the col name "Y" to delete instead the number? Kind regards Knut

Help! I am a new R user. It has been slow getting up to speed, but definitely rewarding. I have come up against a problem I can't handle. I would very much appreciate any help. I am writing a vector auto regression (VAR) function that utilizes existing R statistical functions. I would like to use the step function to do step-wise elimination on each univariate time series model. No

Hi, I want to insert a key into each panel of a trellis plot, which I can do with a custom panel function that calles draw.key. The problem arises because I want the top right hand corner of the key to start in the top right hand corner of the panel. If you run my code below, you can see that the key appears in the center of each panel. This is because the default viewport in draw.key is the

Dear R experts, I have a labeled data set. Each data is assigned a binary label 0 or 1. Assume that I use some clustering algorithm to group the data by clusters (using some features of the data). Now I want to know how many data are labeled as 0/1 in each cluster. For example, assume that I have 9 labeled data grouped into three clusters. The ids of the clusters are 1, 2, and 3. The dataset is

I've used ssh as a secure telnet up to now but done little else with it. The FreeBSD machines I look after on our internet-facing network all have one account which I connect to for administration. I've set up /etc/hosts.allow on all the machines to only allow ssh from a limited internal network range. Now I want to create a new account on one machine which will be accessible from the

Hello all, I what to print the banner plot that is output from the mona method in the cluster package but the problem is I dont want to print all that red ink. Here is an example: data(animals) ma <- mona(animals) ma ## Plot similar to Figure 10 in Struyf et al (1996) plot(ma) I can change the bar color by using the argument col=c(0,0) - plot(ma,col=c(0,0)) - but then the variable labels also

I knew I'd regret leaving that option in for the MIPS port back in 99. Basically this is the only acceptable way for mcpu to exist, but should never have been added to the GCC aarch64 port at all since there's no compatibility with existing build systems to worry about. I would still like you to show this mythical piece of software that needs this compatibility. -eric On Jan 8, 2014 3:06

Hi all, Sorry for the re-post, I sent my previous e-mail before it was complete. I am trying to model seroprevalence using the differential equation: dP/dt = beta*seronegative*.001*(seropositive)-0.35*(0.999)*(seropositive)-r*seropositive. I would like to estimate my two parameters, beta and r, using maximum likelihood methods. I have included my code below:

Within a Samba configuration, is it not advisable to create files on the directory on the local machines themselves? Out setup is like so: Server 1 (where the files reside): /data/shares/app01 Server 2 (mounts the above drive): /data/mounts/app01 If, on Server 1, I create a file: # echo test > /data/shares/app01/test The file is created, but on Server 2, I cannot seem to edit the file as

Hello, I'm trying to develop a box plot of time series data to look at the range in the data values over the entire period of record. My data initially starts out as a list of hourly data, and then I've been using this code to make this data into the final ts array. # Read in the station list stn.list <- read.csv("/home/kbennett/fews/stnlist3", as.is=T, header=F) # Read in

Dear R experts, I hope this is the right list for my question. As a newcomer in R, I am testing the R CAPER package, applying a simple regression on a phylogeny tree with three binary traits: (t1, t2, t3). My goal is to test the sensitivity to a correlation between t1 and t3. But if a correlation of 100% is considered (i.e. t3 = t1). The pgls method of CAPER seems to crash: You can find there

On 8 January 2014 12:32, Bernard Ogden <Bernard.Ogden at arm.com> wrote: > I don't think there's software that *needs* the compatibility, but it is > easier for GCC projects to switch to clang if that compatibility is there - > which I think is why we go for GCC compatibility in the first place? > Hi Bernie, GCC compatibility is always considered to be an important

Hi, I have a table for an 1 week exam result for many classes in school, like this: Day Class_ID Test Result 1 Monday 1 Paper Passed 2 Tuesday 1 Oral Passed 3 Friday 1 Paper Passed 4 Monday 3 Paper Passed 5 Sunday 3 Oral Passed 6 Monday 3

that only works when you are presuming that the host was not hacked already because i would clear those logs when i hacked a system :) but indeed it's a try, If you remain unsure, it is best to reinstall the system to be sure that a fresh and newly updated (yeah update it when installed :)) system is not compromised at that time.. loads of work, but it gives you some relief to know that

Hi Sean, This is great, but it couples LogicalDylib too tightly to CompileOnDemandLayer. Does this alternative implementation of getLogicalModuleResourcesForSymbol work for you (unfortunately I don't have a local test case for this yet): LogicalModuleResources* getLogicalModuleResourcesForSymbol(const std::string &Name, bool

Hi Sean, As for the part that couples them too tightly, would you recommend I just > keep my own specialized version of CompileOnDemandLayer.h that includes > this functionality, or do you have any ideas for a cleaner way to do this? My apologies - I wasn't very clear in my description of the issue. The only sense in which your original patch was tightly coupled was that it had

It does work. I just tested it on my JIT. Thanks! As for the part that couples them too tightly, would you recommend I just keep my own specialized version of CompileOnDemandLayer.h that includes this functionality, or do you have any ideas for a cleaner way to do this? I've noticed a couple of people asking for support for updating stub pointers for functions that are optimized at runtime,

Thanks Bernie, Feel free to assign yourself to the bug report, just so we know someone is working on it. cheers, -renato On 14 October 2013 17:38, Bernard Ogden <bogden.dev at gmail.com> wrote: > I've got a trivial fix for this problem, and another one which manifests > when thumb is given without an explicit CPU. I'll start pushing it through > our submissions process.

I think that this works (and adds no appreciable driver complexity) provided that we're not expecting to support -mtune. If clang is (one day) going to be able to isel based on one target and optimize based on another then we might find ourselves wanting to change the meaning of -march from 'isel and optimize' to 'isel only'. So Amara's question about -mtune (or more