similar to: How sample without replacement on more than one variables?

Hello Everyone,   I'm trying to conduct a couple of power analyses and was hoping someone might be able to help. I want to estimate the sample size that would be necessary to adequately power a couple of non-inferiority tests. The first would be a log-rank test and the second would be a Wilcoxon rank-sum test. I want to be able to determine the sample size that would be necessary to test for a

How can I see more of the structure than displayed by 'str'? Consider the following: tstDF <- data.frame(a=1, row.names='b') > str(tstDF) 'data.frame': 1 obs. of 1 variable: $ a: num 1 The object 'tstDF' has row.names, but I have to suspect they are there -- AND know a function like 'row.names' or 'dimnames' -- to see

Hi all, I am a fourth year EE bachelors student who is very interested in compilers. I have taken the only compilers course offered in my school and did an independent study with my CS professor. Although I'll begin to work in a couple of months, I definitely want to pursue my interest in compiler design and optimization as a PhD in the future. I am very interested in the z3 SMT solver

Hello All, '\\' is printed as '\\', but it is actually only one character. Sometimes, I'd rather print it as a single '\'. Is there a function to do so in R? > nchar('\\') [1] 1 > print('\\') [1] "\\" -- Tom

Dear All, I want to check what packages depends on a given package. For example, glmnet depends on Matrix. I want get the names of all the packages that depend on Matrix on CRAN. Is there a way to do so? Thanks! > library(glmnet) Loading required package: Matrix Loading required package: lattice -- Tom

Hi All, I want to enclose with() in a function mean_on_element. Obviously, it is not working. The problem is how to specify the element name with a function body. Does anybody have any suggestion? Thanks! > data=list(x=1:10) > with(data, mean(x)) [1] 5.5 > > mean_on_element=function(data, elem_name) { + with(data, mean(elem_name)) + } > mean_on_element(data, 'x') [1] NA

Hello All, I'm trying to pass the argument col.names to write.csv using '...'. But I got the following warnings. Maybe it is very simple. But I'm not sure what I am wrong. Could you please help point to me what the problem is? ##################### fun=function(x, ...) { fr=parent.frame() tmp=get(x, envir=fr) write.csv( tmp , file=paste(x, '.csv',

Hi, I've got a quite tricky question. I have a txt file, named 'temp.txt', as the following: snp1 snp2 snp3 AA 00 00 GG GG 00 00 AA 00 I want to read the file into R. 1) when I use 'read.table' without 'header=T' option, > temp <- read.table('temp.txt') # I got > temp V1

Hi All, The last line if the following code returns the error right below this paragraph. Essentially, I use the operator %:% to retrieve a variable in a nested frame. Then I want to use the same operator (with '<-') to change its value. I'm not sure if this is possible in R with %:% operator. Would you please help and let me how to correct the code if it is possible? Error in

I need advanced Asterisk training in the SouthEast area of the U.S; I don't need to know how to install linux and Asterisk and compile the modules and load them and such. I don't need to know what extensions.conf does or sip.conf does; What I do need is a better understanding of what every single little option in sip.conf or iax.conf does, and I need to learn a lot more about all the

Hi, There are numerous emails flying around the list at the moment regarding the state of the JIT. In its current state it is infeasible to add support for another architecture (very difficult to say the least) - there are plans currently being formulated to deal with this and convert the JIT to the new MC architecture, which would allow much easier porting between platforms. Have a look for the

OK. Thank you. What I want to do is: Fix source code in-place, then feed it to compiler normally. I assume I can fix source code in-place using clang::SourceManager, but I cannot find the appropriate API. Now I know that way is infeasible. Thanks again. 2011/5/5 Joshua Warner <joshuawarner32 at gmail.com> > Wen-Han, > > It sounds like there are two problems here: first is

Hello, I have a simple problem (checked the archives and the appropriate help pages, to no avail). I want to creat a vector that is length(2000). The vector is to consist of two strings( "std" and "dev") with 1760 "std"s and 240 "dev"s. Furthermore, for each element of the vector, i want the selection of one of the strings to be approx. random. The

Dear All, I would like to know how to sort a vector of numeric values such that we know the original index of each ordered component. Say, we have c <- c(1,4,3,2) csort <- sort(c,descreasing=FALSE) With a few components of c, we can manually find out: csort[1] = 1 = c[1], ie, the original index of csort[1] is 1, csort[2] =2 =c[4], ie, the original index of csort[2] is 4. When length(c) is

On Wed, Nov 17, 2010 at 4:30 PM, James Molloy <James.Molloy at arm.com> wrote: > Hi, > > There are numerous emails flying around the list at the moment regarding the state of the JIT. In its current state it is infeasible to add support for another architecture (very difficult to say the least) - there are plans currently being formulated to deal with this and convert the JIT to the

Splus used a similar method for sampling from "bigdata" objects. One problem was that sample() is used both for creating a sample and for scrambling the order of a vector. Scrambling the order of a big vector wastes time. It would be nice to be able to tell sample() that we don't care about the order. Bill Dunlap TIBCO Software wdunlap tibco.com On Tue, Oct 17, 2017 at 10:55

On Thu, May 10, 2018 at 3:10 PM Zachary Turner <zturner at google.com> wrote: > On Thu, May 10, 2018 at 1:50 PM Chandler Carruth via llvm-dev < > llvm-dev at lists.llvm.org> wrote: > >> Last time this came up, there were a lot of people that were stuck on GCC >> 4.9 due to ABI reasons. I think forcing that upgrade is going to be the >> most disruptive part

Let us consider the current uniform sampling without replacement algorithm. It resides in function do_sample in https://svn.r-project.org/R/trunk/src/main/random.c Its complexity is obviously O(n), where the sample is selected from 1...n, since the algorithm has to create a vector of length n. So when the sample size is much lesser than n, the algorithm is not effective. Algorithms with

Dear All, I am using package fPortfolio to run minimum variance portfolio optimizations in R. I already know how to set portfolioSpecs, portfolio objects and constraints. Unfortunately I am not able to set the following type of constraints. I have a timeSeries object with returns data for roughly 1.5k assets for 261 subperiods (workingdays) and want to compute the global minimum variance

Greetings, I am having trouble getting the function reformulate_ATSP_as_TSP to work for me. I have provided a simple example of some of the code I've been using. In particular, I'm not sure why I'm getting the error "Error in dimnames(tsp) <- list(lab, lab) : length of 'dimnames' [1] not equal to array extent" since I created the object ATSP with a valid