search for: algebraic

HI, May be this helps: dat1<- read.table(text=" date1 time????????????????? date??????? timeSec topic pupilId correct 02/01/2013 14:58 02/01/2013 140323 fdp.fdp 40 TRUE 02/01/2013 14:59 02/01/2013 140372 fdp.fdp 150 TRUE 03/01/2013 11:23 03/01/2013 213833 fdp.percentage_calc_foundation 15 TRUE 03/01/2013 11:23 03/01/2013 213839 fdp.percentage_calc_foundation 57 TRUE 03/01/2013 11:24

Hello, the following is a part of a question asked on R-help. I realized that it is better suited for asking here. Apologies for the cross-posting! I'm on Ubuntu artful, and upgraded with 'apt'. Then ---------------------------------------------------------------- goran at M6800:~/src/R-3.4.3$ /usr/bin/R /usr/lib/R/bin/exec/R: symbol lookup error:

Den 2017-12-01 kl. 20:24, skrev Dirk Eddelbuettel: > > On 1 December 2017 at 19:55, G?ran Brostr?m wrote: > | Hello, > | > | the following is a part of a question asked on R-help. I realized that > | it is better suited for asking here. Apologies for the cross-posting! > | > | I'm on Ubuntu artful, and upgraded with 'apt'. Then > | > |

Hi there, On 1 December 2017 at 23:24, G?ran Brostr?m wrote: | Dirk, | | thanks for your help. At work I have (ubuntu 16.04): | | ii libblas-common 3.6.0-2ubuntu2 amd64 Dependency package for | all BLAS implementations | ii libblas-dev 3.6.0-2ubuntu2 amd64 Basic Linear Algebra | Subroutines 3, static library | ii libblas3 3.6.0-2ubuntu2 amd64 Basic Linear

Dear all, I am estimating a mixed-model in Ubuntu Raring (13.04¸ amd64), with the code: fm0 <- lme(rt ~ run + group * stim * cond, random=list( subj=pdSymm(~ 1 + run), subj=pdSymm(~ 0 + stim)), data=mydat1) When I check the approximate variance-covariance matrix, I get: > fm0$apVar [1] "Non-positive definite

Dirk, thanks for your help. At work I have (ubuntu 16.04): ii libblas-common 3.6.0-2ubuntu2 amd64 Dependency package for all BLAS implementations ii libblas-dev 3.6.0-2ubuntu2 amd64 Basic Linear Algebra Subroutines 3, static library ii libblas3 3.6.0-2ubuntu2 amd64 Basic Linear Algebra Reference implementations, shared library and everything works before

...(i am omitting some of the details leading to the scalar), where L is the unknown rate. it will be necessary for addition and multiplication operations (among others) to make sense for the class. i haven't found R to be particularly accommodating of this type of problem, in particular of the algebraic computations necessary to make addition and multiplication work. my best thought so far was to have one slot in the representation be an expression object that would evaluate to a numeric cash object, if the evaluation were to take place in an environment where all the variables were ultimately bo...

I needed a symbolic and algebraic computation software. The best solution I've found so far is maxima computer algebra system. I was wondering if there is any R package that has similar features as maxima's or somebody could point me to reference manuals on how to use R for this purpose. Thanks, Angel

Dear all, I wanted to create the mean using a algebra matrix. so I tried this one: > meanAnimals <- new3%*%factorial (Calculates the matrix multiplication of the new3 * factorial). But I get the following error message: Error in new3 %*% factorial : non-conformable arguments These are my matrices: > new3 [,1] [,2] [1,] 1.350 8.1 [2,] 465.000 423.0

Hello, I have a weird issue with rsync randomly marking some files as having a different checksum (see sample outputs below - run one after another). You would think it is some kind of corruption / io problem with the files but it doesn't seem so - I have copied files around, changes source to different machines, counted md5s manually 100s of times - always the same. All files except

This has ABSOLUTELY nothing to do with R but I was hoping that someone might know because there are obviously a lot of very bright people on this list. Suppose I had a time series of data and at each point in time t, I was calculating x bar + plus minus sigma where x bar was based on a moving window of size n and so was sigma. So, if I was at time t , then x bar t plus minus sigma_t would be

>From time to time people request symbolic computations beyond what D() and deriv() etc can provide. A brief look at the internet shows that there are many more or less developed computer algebra packages freely available. Therefore, I wondered if it would be an idea to try to 'integrate' one of these packages in R, which I guess can be done in more or less elegant ways... I do not know

Hi, I have an n x m matrix of numerical observations. ie. stock prices I wish to convert the matrix of observations to a matrix of simple returns (by taking the differences between (column) observations.) Can any good soul suggest a function for this? -- View this message in context: http://r.789695.n4.nabble.com/R-beginner-matrix-algebra-tp4653335.html Sent from the R help mailing list

Hi, I'd like to install the optimized libraries on my Thinkpad with an Intel Core Solo chip, which apparently supports the following instruction sets: MMX, SSE, SSE2, SSE3 instruction sets, XD-Bit. In a recent r-help message, the following was said (by Dirk I think): <quote> Yes, on Ubuntu, use 'apt-get install atlas3-base' for basic tuned Atlas, or 'apt-get install

On Fri, Oct 14, 2016 at 6:10 PM, Hal Finkel <hfinkel at anl.gov> wrote: >> polybench/linear-algebra/kernels/symm, FP_ABSTOLERANCE=1e1 >> polybench/linear-algebra/solvers/gramschmidt, FP_ABSTOLERANCE=1e0 >> What should be a good relative tolerance to set for these two tests? > > What's the minimum relative tolerance that you need for them to pass? Setting

Hi all, I have a large set of descriptors, which are stored as the vectors, each one containing about 450 elements. Now I have to perform some algebraical operations on this set to eliminate the redundant ones. The problem is, that not all vales in the vectors are known. Are there any norm defined how should I process such vectors? Simple example: having two vectors: a b 3 4 2 null 3 6 I can imagine that a+b is [7 null 9]...

Dear R-users, would it be a better way to construct the matrix below without using any for-loop or model.matrix? preferably with some matrix algebra? Thanks in advance, Carlo Giovanni Camarda ## dimensions m <- 3 n <- 4 mn <- m*n k <- m+n-1 ## with a for-loop X <- matrix(0, mn, k) for(i in 1:n){ wr <- 1:m+(i-1)*m wc <- rev(1:m+(i-1)) where <- cbind(wr,wc)

Dear all, I'm currently working on converting mathematica code (https://github.com/ASDSE/thermosimfit/blob/master/Packages/thermoHD-Comp/thermoCacheHD-1Comp.m) to R. The code is related to solve algebraic systems. > eqthermo = {h0 == h + hd + hga, d0 == d + hd, ga0 == ga + hga, kga == > ???? hga / (h * ga), kd == hd / (h * d)}; > > (* IDA HD*) > sthdIDAcacheHD[fkd_, fkga_, fh0_, fd0_] :=? sthdIDAcacheHD[fkd, fkga, > fh0, fd0] = > ?? ??? ?? ??? ?Module[{eliHD, solvHD}, > ??...

Dear all, I am the author of an open-source package for mathematical optimization and automatic differentiation called CasADi (www.casadi.org) and have recently started realize the potential of the LLVM project. At the core of CasADi are two fast interpretors for mathematical expressions and I'm now planning to complement these with JIT-compilation using LLVM. Does anyone know if there is

On 1 December 2017 at 19:55, G?ran Brostr?m wrote: | Hello, | | the following is a part of a question asked on R-help. I realized that | it is better suited for asking here. Apologies for the cross-posting! | | I'm on Ubuntu artful, and upgraded with 'apt'. Then | | ---------------------------------------------------------------- | goran at M6800:~/src/R-3.4.3$ /usr/bin/R |