search for: rxx

...10 is used to condition the autocorrelation matrix. wonder how the value of 10 is arrived at? 2) levinson durbin (LD) algo in the function _spx_lpc, i referred to some LD algo online. am puzzled with the reflection coefficient's computation. from the code, i understand it to be r = [- Rxx(i) - sum(lpc*Rxx)] / [error + 0.003* Rxx(0)] first question is why is negative of Rxx(i) added? from the resources i gather positive Rxx(i) is added. second is what is the motivation behind adding 0.003*Rxx(0) to error? 3) a more general question: i have not been able to find any reason why 10 lp...

...data <- data.frame(x,y,z)* * * * * * if(corr_type=="pairwise")* * {* * * * print("inside pairwise")* * rxx.z <-P[as.numeric(element1_in_no),as.numeric(element2_in_no)]* * #print("rxx.z")* * #print(rxx.z)* * * * return(rxx.z)* * * * }* *...

...hod) # is Szz positive definite? zz.ev <- eigen(Szz)$values if(min(zz.ev)[1]<0){ stop("\'Szz\' is not positive definite!\n") } # partial correlation Sxx.z <- Sxx - Sxz %*% solve(Szz) %*% t(Sxz) print(Sxx.z) # this gets printed rxx.z <- cov2cor(Sxx.z)[1,2] #some problem in this function function (V) { print("cov2cor") p <- (d <- dim(V))[1] if (!is.numeric(V) || length(d) != 2L || p != d[2L]) stop("'V' is not a square numeric matrix") Is <- s...

...ata,zdata,m=method) # is Szz positive definite? zz.ev <- eigen(Szz)$values if(min(zz.ev)[1]<0){ stop("\'Szz\' is not positive definite!\n") } # partial correlation Sxx.z <- Sxx - Sxz %*% solve(Szz) %*% t(Sxz) # this gets printed rxx.z <- cov2cor(Sxx.z)[1,2] # probably error in this function cov2cor return(rxx.z) } for some other datasets this pcor.mat function works fine. The solve.default function is this:--------------- solve.default<-function(a, b, tol = ifelse(LINPACK, 1e-07, .Machine$double.eps),LINPACK = F...

...mpared to the true correlation matrix ct of t, however the diagonal entries remain without attenuation. Consequently the correlation matrix of observed variables has different things on- and off-diagonal. I would like to estimate 1) the true correlation matrix ct 2) the measurement reliabilities rxx, i.e. the correlation of a score with itself attenuated by its measurement error (as if we had two measurements of the same score). but I don't have predefined asumptions about structure in the variable set as I guess would be needed for SEM. Is R software available to do this? Best regards...

...22222 at default-0000003c;2", "2,Outgoing call for 0039015222222 using pbxluca") in new stack == Outgoing call for 0039015222222 using pbxluca -- Executing [0039015222222 at default:14] Dial("Local/0039015222222 at default-0000003c;2", "SIP/pbxluca/0039015222222,,RXx") in new stack == Using SIP RTP CoS mark 5 -- Called SIP/pbxluca/0039015222222 -- SIP/pbxluca-00000126 is ringing -- SIP/pbxluca-00000126 is making progress passing it to Local/0039015222222 at default-0000003c;2 -- Local/0039015222222 at default-0000003c;1 is ringing --...

...of a 220x220 Toeplitz matrix (loops)_______ (sec): ", = timing, "\n")) remove("b", "j", "k") flush.console() # (5) cumulate <- 0; p <- 0; vt <- 0; vr <- 0; vrt <- 0; rvt <- 0; RV <- 0; j = <- 0; k <- 0; x2 <- 0; R <- 0; Rxx <- 0; Ryy <- 0; Rxy <- 0; Ryx <- 0; Rvmax <- 0 # Calculate the trace of a matrix (sum of its diagonal elements) Trace <- function(y) {sum(c(y)[1 + 0:(min(dim(y)) - 1) * (dim(y)[1] + = 1)], na.rm=3DFALSE)} for (i in 1:runs) { x <- abs(rnorm(22*22)); dim(x) <- c(22, 22) ti...

...test version, 0.6-1 from R-Forge install.packages("candisc", repo="http://R-Forge.R-project.org") library(candisc) data(Rohwer) # this bombs: needs intercept removed cc <- cancor.formula(cbind(SAT, PPVT, Raven) ~ n + s + ns + na + ss, data=Rohwer) ## Error in chol.default(Rxx) : ## the leading minor of order 1 is not positive definite #this works as is cc <- cancor.formula(cbind(SAT, PPVT, Raven) ~ -1 + n + s + ns + na + ss, data=Rohwer) cc ## Canonical correlation analysis of: ## 5 X variables: n, s, ns, na, ss ## with 3 Y variables: SAT,...

...mpared to the true correlation matrix ct of t, however the diagonal entries remain without attenuation. Consequently the correlation matrix of observed variables has different things on- and off-diagonal. I would like to estimate 1) the true correlation matrix ct 2) the measurement reliabilities rxx, i.e. the correlation of a score with itself attenuated by its measurement error (as if we had two measurements of the same score). but I don't have predefined asumptions about structure in the variable set as I guess would be needed for SEM. Is R software available to do this? Best regards...

I can't find a way to retrieve z values and p-values from the output from lmer in the lme4 package. How is this done? Rick B.

Hi, I have been having a tedious issue with lmer models with lots of factors and lots of levels. In order to get the basic information at the beginning of the print out I also have to generate these enormous tables as well. Is there a method command to leave off all of the effects and correlations? Or, do I have to go to string commands?

Hallo, I need the device eth0 for one tool using centos 7.6. Using this tutorial https://www.certdepot.net/rhel7-restore-old-network-interface-name/ doesn t work. Thanks for a hint. Ralf

...u.pl/pub/nutdrv_qx_load.off.txt (4kB) load.on or shutdown.stop (C) - load are switched on after 10s, - stop olny "shutdown.return", - nutdrv_qx output: http://bpa.ksu.pl/pub/nutdrv_qx_load.on.txt (2kB) shutdown.return (S01R0001) - load is switched on immediately, the "Rxx" part does not matter, - "C" command can break the shutdown. - nutdrv_qx output: http://bpa.ksu.pl/pub/nutdrv_qx_shutdown.return.txt (7kB) shutdown.stayoff (S01) - "C" command will not break the shutdown. - nutdrv_qx output: http://bpa.ksu.pl/pub/nutdrv_qx_shu...

Hello All, I would like to retrieve some of the results from the lmer(...) function in library lme4. If I run a model, say fm.1 <- lmer(y ~ 1 + (1 | x), data = dog) and try names(fm.1), I get NULL. Is there anyway to retrieve the information? Thanks