search for: maxvals

Hello, struggling with the very basic needs... :( any help appreciated. #using the package doBY #who drinks how much beer per day and therefor cannot calculate rowise maxvals evaluation=data.frame(date=c(1,2,3,4,5,6,7,8,9), name=c("Michael","Steve","Bob", "Michael","Steve","Bob","Michael","Steve","Bob"), vol=c(3,5,4,2,4,5,7,6,7)) evaluation # maxval=summaryBy(vol ~ name,data=evalu...

Just noticed nobody has commented on this, so I took a look, and I can't see the problem (2.1.0 looks the same as 2.1.1 to me). What is supposed to be wrong? Duncan Murdoch On 5/23/2005 2:35 PM, pelzc at ohsu.edu wrote: > Full_Name: Carl Pelz > Version: 2.1.0 & 2.0.1 > OS: Windows 2000 > Submission from: (NULL) (137.53.64.158) > > > # Paste this all into an R

Hi I need help in the recursive problem. this is my code #Generate two random Numbers minval=20 maxval=100 cutoffValue=50 optVal<- function(cutoffValue,minval,maxval) { x=runif(2) x=x*cutoffValue for( i in 1:2) { if(x[i] < 30 || x[i] >60) # checking it falls between the range { optVal(cutoffValue,minval,maxval) } } return(x) }

Hi, I am still not familiar with vectorization. Could you help with making this for loop more efficient? The code is trying to make a Q matrix for a multidimensional state space with specific conditions. thanks Mira tmp = 0:(maxvals[1]) for(i in 2:nchars) { tmp <- outer(tmp, 0:(maxvals[i]), FUN="paste", sep=".") } states = tmp stateidx = array(1:length(states), dim=dim(states)) transition <- matrix(data=0, nrow=length(states), ncol=length(states)) findstatedim <- function(x) which(stateidx==x, a...

hi, I have been attempting to run this script and am getting some strange results. The script connects to a database and retrieves a series of tables, using sequential sql statements. I have tested all of the sql statements in the PostGreSQL terminal and they all return the desired results. I place each table into a list and run a FOR loop for 'i' in the list. The script generates

I am 100% certain that there is an easy way to do this, but after experimenting off and on for a couple of days, and searching everywhere I could think of, I haven't been able to find the trick. I have this piece of code: ... attach(d) if (ORDINATE == 'ds') { lo <- loess(percent ~ ncms * ds, d, control=loess.control(trace.hat = 'approximate')) grid <-

Hi there, I get a strange behaviour of a boxplot with the following code. There seems to be a problem with the xlim-parameter. Did I do anything wrong? What else can I do to force the boxplot to have a defined x-range? x <- rnorm(100) boxplot(x, notch=TRUE, xlab=parameter, xlim <- c(-4,4), horizontal = TRUE) Antje

On Thu, Sep 3, 2009 at 6:24 AM, Olivier Meurant<meurant.olivier at gmail.com> wrote: > Hi Tanya, > > I have tried the 2.6 pre-release on the following host : > > Windows XP pro SP2 with mingw/msys : > > uname -a > MINGW32_NT-5.1 OLIVE 1.0.10(0.46/3/2) 2004-03-15 07:17 i686 unknown > > gcc -v > Reading specs from d:/mingw/bin/../lib/gcc/mingw32/3.4.5/specs

Hi Tanya, I have tried the 2.6 pre-release on the following host : Windows XP pro SP2 with mingw/msys : uname -a MINGW32_NT-5.1 OLIVE 1.0.10(0.46/3/2) 2004-03-15 07:17 i686 unknown gcc -v Reading specs from d:/mingw/bin/../lib/gcc/mingw32/3.4.5/specs Configured with: ../gcc-3.4.5/configure --with-gcc --with-gnu-ld --with-gnu-as --host=mingw32 --target=mingw32 --prefix=/mingw --enable-threads

I built ogg vorbis from the rc1 cvs source on Irix 6.5.12 with gcc 2.95.2. Using oggenc I encoded about 8,000 aiff files but found about a dozen where oggenc would go into an infinite loop. I tracked the problem with Laguerre_With_Deflation() as far back as logmask being Inf in floor0_forward. I'm now building gcc 3.0 with the expectation this is a compiler issue. If not, I'll back

Hello, Rlisters I have to compute p-values that are on the tail of the distribution, P-values < 10^-20. However, my current implementations enable one to estimate P-values up to 10^-12, or so. A typical example is found below, where t is my critical value. ########### example - code adapted from Rassoc ####################### rho01 = 0.5 rho105 = 0.5 rho005 = 0.5 t = 8 z = 2

Dear R-help, I am new to optim function and need some help with optimization. Problem description: I am trying to optimize a weights vector such that it produce maximum value for a function maxVal. The optimization is subjected to constraint. The constraints are a) Min weight should be greater than or equal to Zero. b) Max weight should be less than or equal to 1 c) Sum of the

I am trying to run the following function (a hierarchical bayes linear model) and receive the error in solve.default. The function was originally written for an older version of SPlus. Can anyone give me some insights into where the problem is? Thanks R 2.4.1 on MAC OSX 2mb ram Mark Grant markg at uic.edu > attach(Aspirin.frame) > hblm(Diff ~ 1, s = SE) Error in solve.default(R, rinv)

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 Hi I have started to add bandwidth <limit> option to icecast. My ideea is to compute the current bandwidth by estimation on each sock_write*() call. Something like this: 1. initially we set kbps = 0, kbps_time = now and kbps_bytes = 0 2. after some time, a sock_write*() function is called which in turn calls sock_kbps_update(nobytes);

How to run pie chart for each categorical variable in a dataset?

Assuming your dataframe is in a variable x: > require(dplyr) > x %>% group_by(ID) %>% summarise(maxVal = max(Value,na.rm=TRUE)) On Fri, 2016-04-22 at 13:51 +0000, Saba Sehrish via R-help wrote: > Hi > > > I have two columns in data frame. First column is based on "ID" assigned to each group of my data (similar ID depicts one group). From second column, I

Hi I have two columns in data frame. First column is based on "ID" assigned to each group of my data (similar ID depicts one group). From second column, I want to identify highest value among each group and want to assign the same ID to that highest value. Right now the data looks like: ID Value 1 0.69 1 0.31 2 0.01 2 0.99 3 1.00 4 NA 4

I KNOW this should be easy, but I'm stuck. My data frame consists of multiple observations from each of a number of stations, and what I would like to do is create another data frame that contains all the variables of the first, but only rows where a certain variable is at its maximum for the station. So, for example: > my.df stn obs v 1 1 1 0.26400396 2 2 1

Hello everyone, I cannot seem to find information about objects of class "matrix" and mode "list", and how to handle them (apart from flattening the list). I get this type of object from using sapply(). Sorry for the long example, but the code below illustrates how I get this type of object. Is anyone aware of documentation regarding this object? Thanks very much, Stephen

Hi Tanya, The sources weren't updated for this pre-release testing. So I had the same problems on PPC. -bw On Sun, Aug 30, 2009 at 10:50 PM, Tanya Lattner<lattner at apple.com> wrote: > LLVMers, > 2.6 pre-release1 is ready to be tested by the community. > http://llvm.org/prereleases/2.6/ > You will notice that we have quite a few pre-compiled binaries (of both > clang