Hi,

getting this error, which is not very informative as to its source: The problem is a mis-use of rnorm which passes in an numeric(0), i.e. empty array.

Would be nice if we could say "Error in path from "Read7N": Empty list passed in for values : values must contain at least one number)"

Error in allvalues[[i%%length(allvalues) + 1]] : subscript out of bounds

Any clues as to how it could be made more diagnostic?

FYI: This is the path model generating it

test <- mxModel("TEST", type="RAM", manifestVars = manifests, latentVars = c("Reading","Origin", "Achieved"), #Make up latent Origin mxPath(from="PaternalSESfac" , to="Origin" , arrows=1, free=T, values=rnorm(.7)), mxPath(from="HousingTenure7fac" , to="Origin" , arrows=1, free=T, values=rnorm(.7)), mxPath(from="NumberRooms7n" , to="Origin" , arrows=1, free=T, values=rnorm(.7)), #Make up latent Reading mxPath(from="Reading" , to="Read7n" , arrows=1, free=T, values=rnorm(.5)), mxPath(from="Reading" , to="ReadingRating7fac" , arrows=1, free=T, values=rnorm(.5)), mxPath(from="Reading" , to="ReadingLevel7fac" , arrows=1, free=T, values=rnorm(.5)), #Make up latent Achieved mxPath(from= "Achieved" , to= "SES42fac" , arrows=1, free=T, values=rnorm(.4)), mxPath(from="Achieved" , to= "Tenure42fac" , arrows=1, free=T, values=rnorm(.4)), mxPath(from="Achieved" , to="IncomeLog" , arrows=1, free=T, values=rnorm(.4)), #Latent connections mxPath(from="Origin" , to="Reading" , arrows=1, free=T, values=rnorm(.3)), mxPath(from="Origin" , to="Achieved" , arrows=1, free=T, values=rnorm(.3)), mxPath(from="Reading" , to="Achieved" , arrows=1, free=T, values=rnorm(.3)), #Bivariate paths for manifests mxPath(from=manifestsOrigin, connect="unique.bivariate" , arrows=2, free=T, values=rnorm(1)), # what do I need for my residual, or my fixed variance? mxPath(from="Read7n" , arrows=2, free=T, values=rnorm(.3)), mxPath(from="ReadingRating7fac", arrows=2, free=T, values=rnorm(.3)), mxPath(from="ReadingLevel7fac" , arrows=2, free=T, values=rnorm(.3)), mxPath(from="SES42fac" , arrows=2, free=T, values=rnorm(.3)), mxPath(from="Tenure42fac", arrows=2, free=T, values=rnorm(.3)), mxPath(from="IncomeLog" , arrows=2, free=T, values=rnorm(.3)), #Data from covariance matrix mxData(dfTEST, type="cov", numObs = 18558) ) test <- mxRun(test); summary(test)

This is another one that could helpfully point to the path which is (in this case) mucking up the asymmetric matrix somehow

`# Error in A_free[to, from] <- nextfree : subscript out of bounds`

Oops. I added error checking for 0 length arguments to mxPath().