Error notification in SEM Regression with manifest variables

[Simon Bley]

Hi there,

I would really appreciate your help! I keep on getting the same error notification in my R output. I am trying to do a regression in a SEM with manifest variables. When I use the summary command I get this error: 

Error in data.frame(lhs = NAMES, op = rep("r2", nel), rhs = NAMES, block = block, :

Row names contain missing values

I have created a simplified dataframe (which gets me the same error), so that I can share it with you. 

This is my R-Code:

q <- data.frame(
  a = c(1, 2, 3, 4, 3, 5, 9),
  b = c(4, 4, 5, 6, 1, 1, 1),
  c = c(3, 4, 2, 4, 1, 2, 1)
)
r <- data.frame(
  d = c(4, 6, 1, 6, 8, 8, 8),
  e = c(3, 7, 8, 8, 9, 4, 9),
  f = c(9, 6, 2, 7, 7, 8, 9)
)

q$Ma <- apply(q, 1, mean, na.rm=T)
r$Mb <- apply(r, 1, mean, na.rm=T)

s <- cbind(q,r)

mod <- 'Ma ~ Mb
            Mb ~~ Mb
            Ma ~~ Ma
            Mb ~ 1
            Ma ~ 1'

fit <- lavaan(model=mod, data=s, meanstructure=TRUE, missing="fiml", fixed.x=FALSE)

summary(fit, fit.measures=TRUE, standardized=TRUE, rsquare=TRUE)

Without the 'rsquare=TRUE' it runs through, but I need the R². 

I am using the newest version of both R and lavaan. I sent the R-Code to a friend and she didnt get any error messages.

So, I would be grateful for any ideas / suggestions what could cause the error. 

Cheers, Simon

[Christian Arnold]

Take a look a here: https://groups.google.com/u/1/g/lavaan/c/hN1y1J9fV6M

There is a good chance that this will solve your problem.

HTH

Christian 

---

Von: lav...@googlegroups.com <lav...@googlegroups.com> im Auftrag von Simon Bley <simon...@gmail.com>
Gesendet: Mittwoch, August 2, 2023 5:10:48 PM
An: lavaan <lav...@googlegroups.com>
Betreff: Error notification in SEM Regression with manifest variables

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[Keith Markus]

Simon,

I could just be fuzzy headed this morning, but you appear to be submitting only the means as your statistics to which to fit the model (s).  Is that intentional?  Your model involves variances and covariances.  (Also, you appear to be computing row means instead of column means. Are you aware of the built in colMeans() and rowMeans() functions?)

Keith

------------------------
Keith A. Markus
John Jay College of Criminal Justice, CUNY
http://jjcweb.jjay.cuny.edu/kmarkus
Frontiers of Test Validity Theory: Measurement, Causation and Meaning.
http://www.routledge.com/books/details/9781841692203/