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...tion is not safe to apply.". But given this example (see also https://godbolt.org/z/fzRHsp ) //------------------------------------------------------------------ // // clang -O3 -Rpass=loop-vectorize -Rpass-analysis=loop-vectorize #include <stdio.h> #include <stdint.h> double v_1 = -902.30847021; double v_2 = -902.30847021; int main() { #pragma clang loop vectorize_width(2) unroll(disable) for (int i = 0; i < 16; ++i) { v_1 = v_1 * 430.33975544; } #pragma clang loop unroll(disable) for (int i = 0; i < 16; ++i) { v_2 = v_2 * 430.33975544; } pr...

Hi. If I have a vector, v_1, and another vector of positive integers, i_1, the same length as v_1, then rep(v_1,i_1) will repeat v_i[j] exactly i_1[j] times, like so: >rep(c(1,2,3),c(3,2,1)) [1] 1 1 1 2 2 3 > I'd like to do the same sort of thing where I replace v_1 with a matrix, and the jth row of the matrix...

...he above relation.... Hmm... Somewhat related, I would also like to plot a line in 3 d space... Finally, if you are feeling really brave, I am interested in doing all of this based on sums generating vectors (I know there is a linear algebra term for this) -- ie generate the plane based on c_1*v_1 + c_2*v_2 for c_1 and c_2 in reals. Thanks again to all you helpful folks! W

Hello, Great to see the new metafor package for meta-analysis. I would like to perform a meta-analysis in which I initially calculate the intercept of the model with a nested random-effects structure. In lme, this would be model<- lme(v3~1, random=~1|species/study, weights = varFixed(~Wt), method = "REML") where multiple effects sizes are measured for some studies and more than

Hello all, Is there a way in R to compute the multivariate normal density of every pair of entries in a vector efficiently instead of using for loop? For example Suppose I have a vector a=c(v_1,...,v_p)=c(0.5343909, -0.7784353, -0.0568370, 1.8772838, -1.3183407, 0.8227418,...) I want to compute density(v_i, v_j) for every pair of entries (i,j) (i!=j) in a. The joint bivariate distribution is known to be the same for each pair. Thanks a lot! Ivon _________________...

Can I ask a small stat. related question here? Suppose I have two predictors for a time series processes and accuracy of predictor is measured from MSEs. My question is, if two predictors give same MSE then, necessarily they have to be identical? Can anyone provide me any counter example? Thanks. -- View this message in context:

..., with 2 probeids nested within each refseqid, and 16 probenos nested within each of the probeids. I have specified in the SAS Proc Mixed procedure that the variance-covariance structure is to be compound symmetric. Therefore, the variance-covariance matrix is a block diagonal matrix of the form, V_1 0 0 0 V_2 0 0 0 V3 where each V_i represents a RefSeqID. Moreover, for each V_i the structure within the block is v_{11} v{12} v_{21} v{22} where v_{11} and v_{22} are different probeids nested within the refseqid, and so are correlated. The structure of both v_{11} and v_{22} ar...

Hi, I have a data-matrix: > PID sato hrs fim health 214 3 4.376430 6.582958 5 193 6 4.361825 3.138525 6 8441 6 4.205771 3.835886 7 7525 6 4.284489 3.245139 6 6806 7 4.168926 2.821833 7 5682 7 1.788707 1.212653 7 5225 6 1.651463 1.436980 7 4845 6 1.692710 1.267359 4 4552 5 1.686448 1.220539 6

..., with 2 probeids nested within each refseqid, and 16 probenos nested within each of the probeids. I have specified in the SAS Proc Mixed procedure that the variance-covariance structure is to be compound symmetric. Therefore, the variance-covariance matrix is a block diagonal matrix of the form, V_1 0 0 0 V_2 0 0 0 V3 where each V_i represents a RefSeqID. Moreover, for each V_i the structure within the block is v_{11} v{12} v_{21} v{22} where v_{11} and v_{22} are different probeids nested within the refseqid, and so are correlated. The structure of both v_{11} and v_{22} are...

Hello! In the example below the Reduce() function by default assigns "a" to be the last accumulated value and "b" to be the current value in "x". I could not find this documented anywhere as the default settings for the Reduce() function. Does any sort of documentation for this behavior exist? x <- c(0,0,0,0,0,1,0,0,0,5,0,0,0,7,0,0,0,8,5,10)

...dhat.com Subject: [RHSA-1999:014-01] New dev, rxvt, screen pacakges for Red Hat Linux 6.0 Message-ID: <19990616212921.B11413@porkchop.redhat.com> Mime-Version: 1.0 Content-Type: text/plain; charset=us-ascii X-Mailer: Mutt 0.95.5us Approved: djb@redhat.com Resent-Message-ID: <"9JKqX.0.V_1.ZO6Qt"@lists.redhat.com> Resent-From: redhat-watch-list@redhat.com Reply-To: redhat-watch-list@redhat.com X-Mailing-List: <redhat-watch-list@redhat.com> archive/latest/34 X-Loop: redhat-watch-list@redhat.com Precedence: list Resent-Sender: redhat-watch-list-request@redhat.com X-URL: h...

...lt;=q v_i>=-q X'v=e_2 Here is my RGLPK code: ......................................................................... X <- # See end of this message for the X data XROWS <- 100 XCOLS <- 2 e_2=rep(0,times=XCOLS) e2[2]<- 1 obj <- c(rep(0,XROWS),1) # coefficients on v_1, . . . , v_100, q. mat <- matrix(rbind(cbind(diag(XROWS), rep(-1,XROWS)), cbind(diag(XROWS), rep(1,XROWS)), cbind(t(X), rep(0,XCOLS)), cbind(t(rep(0,XROWS)), 1)), nrow=2*XROWS+XCOLS+1) dir <- c(rep("<=", XROWS), rep(">=", XROWS), rep("==", XCOLS), "&...

Dear R Gurus: I read somewhere that functions are considered vectors. Is this true, please? thanks Edna Bell