Copyright © 2007-2016 The OpenMx Project

Published on *OpenMx* (http://openmx.ssri.psu.edu)

In OpenMx 1.2 we will be eliminating the `all = TRUE`

argument from the `mxPath()`

function. This argument will be replaced with a new argument to `mxPath()`

that will be more explicit about which paths are constructed and which paths are not constructed. You can follow the discussion of the new argument on the following forum thread [1].

In the meantime, you will want to be aware of certain behaviors of `all = TRUE`

that most users find unexpected. The `all = TRUE`

argument creates all pairs of pairs between the 'from' and 'to' fields. When bidirectional arrows are specified (`arrows = 2`

), then the path (a,b) is identical to the path (b,a). However, mxPath() generates both the (a,b) path and the (b,a) path, and overwrites the earlier path with the later path. This behavior is especially problematical if you want to assign distinct values, labels, free parameter designations, etc. to your paths.

Here is a concrete example. Suppose I want to create the following model.

I try creating it using the following R code:

lVars <- c('a', 'b') freeParams <- c('p1', 'p2', 'p3') model <- mxModel('model', type = 'RAM', latentVars = lVars, mxPath(from = lVars, to = lVars, arrows = 2, all = TRUE, labels = freeParams))

But this code generates the model:

What happened here? The explanation: When the mxPath() function is called with all = TRUE, it will generate n x m paths, where n is the length of 'from' argument and 'm' is the length of the 'to' argument. Keep in mind that when a path is created, it will clobber any existing path that has the same 'from', 'to', and number of arrows. In the case of symmetric paths, the 'from' and 'to' arguments can be switched with impunity. So the following paths are created:

FromToLabel

aap1

abp2

bap3

bbp1

In order to get the desired paths, I would need to call:

model <- mxModel('model', type = 'RAM', latentVars = lVars, mxPath(from = lVars, to = lVars, arrows = 2, all = TRUE, labels = c('p1', 'p2', 'p2', 'p3'))

**Links**

[1] http://openmx.psyc.virginia.edu/thread/1004