Nothing
library(OpenMx)
if (mxOption(NULL, 'Default optimizer') != "SLSQP") stop("SKIP")
mxOption(NULL, "major iterations", 3000)
data("jointdata", package ="OpenMx", verbose= TRUE)
jointdata[,c("z2","z4","z5")] <- mxFactor(jointdata[,c("z2","z4","z5")],
levels=list(c(0,1), c(0, 1, 2, 3), c(0, 1, 2)))
satCov <- mxMatrix(name="C", "Symm", 5, 5, free=TRUE, values=diag(5))
satCov$free[2,2] <- FALSE
satCov$free[4,4] <- FALSE
satCov$free[5,5] <- FALSE
loadings <- mxMatrix(name="L", "Full", 1, 5, free=TRUE, values=1, lbound=0)
loadings$ubound[1,] <- 2
resid <- mxMatrix(name="U", "Diag", 5, 5,
free=c(TRUE, FALSE, TRUE, FALSE, FALSE), values=.5)
means <- mxMatrix(name="M", "Full", 1, 5,
free=c(TRUE, FALSE, TRUE, FALSE, FALSE), values=0)
thresh <- mxMatrix(name="T", "Full", 3, 3, FALSE, 0)
thresh$free[,1] <- c(TRUE, FALSE, FALSE)
thresh$values[,1] <- c(0, NA, NA)
thresh$labels[,1] <- c("z2t1", NA, NA)
thresh$free[,2] <- TRUE
thresh$values[,2] <- c(-1, 0, 1)
thresh$labels[,2] <- c("z4t1", "z4t2", "z4t3")
thresh$free[,3] <- c(TRUE, TRUE, FALSE)
thresh$values[,3] <- c(-1, 1, NA)
thresh$labels[,3] <- c("z5t1", "z5t2", NA)
colnames(thresh) <- paste0('z', c(2,4,5))
jm1 <- mxModel("ContinuousOrdinalData", loadings, resid, means, thresh,
mxAlgebra(t(L) %*% L + U, name="C"),
mxFitFunctionWLS(),
mxExpectationNormal("C", "M",
dimnames=names(jointdata),
thresholds="T",
threshnames=c("z2", "z4", "z5")),
mxDataWLS(jointdata, "WLS"),
mxCI('L', interval = .8)
)
jm1 <- mxRun(jm1, intervals = TRUE)
jm2 <- mxModel(jm1, mxData(jointdata, 'raw'), mxFitFunctionML())
jm2 <- mxRun(jm2, intervals=TRUE)
ci1 <- jm1$output$confidenceIntervals
ci2 <- jm2$output$confidenceIntervals
goodEntry <- !is.na(ci1) & !is.na(ci2)
omxCheckCloseEnough(sum(goodEntry), 15, 2)
print(max(abs(ci1[goodEntry] - ci2[goodEntry])))
omxCheckCloseEnough(ci1[goodEntry], ci2[goodEntry], .09)
omxCheckCloseEnough(median(abs(ci1[goodEntry] - ci2[goodEntry])), 0, .02)
# Just FYI... WLS is 70 times quicker even with only n= 175
# and just 2,3, and 4 levels in the ordinal vars!
# umx_time(jm1) # ContinuousOrdinalData: 00.12 seconds
# umx_time(jm2) # ContinuousOrdinalData: 08.18 seconds
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.