Hello everyone,

I'm running an ordinal logistic and I keep getting this error:

Error in model.frame.default(formula = eduattain ~ dadedu, data =

workdataset, :

variable lengths differ (found for '(weights)')

I looked at several similar questions on the internet and ended up deleting

all the NA's from all the variables in the model prior to running the

model. I checked this before(where the length differed) and after deleting

the NA's(where the length was the same)

A similar question

<

http://t.sidekickopen29.com/e1t/c/5/f18dQhb0S7lC8dDMPbW2n0x6l2B9nMJN7t5XX4RYygTW5v0Dpn5wvpr8W4X9Hq256dwC8d2Ntnd02?t=http%3A%2F%2Fstackoverflow.com%2Fquestions%2F29220727%2Ferror-in-model-frame-default-variable-lengths-differ-but-no-nas-in-data&si=4832790679388160&pi=5c2682a6-6cfb-4c8b-98c9-ca8956c3fe4c>

posed

a similar problem(same error, no NA's) but no answer was given due to the

problem not being reproducible.

------------------------------

Here is a a reproduction of the problem: here I recoded empty rows into

NA's thinking that empty rows might have something to do with this:

require(MASS)

spain <- read.csv("

http://vs-web-fs-1.oecd.org/piaac/puf-data/CSV/Prgespp1.csv")[,c("B_Q01a","J_Q07b","SPFWT0")]

workdataset <- spain

workdataset$eduattain <- workdataset$B_Q01a

workdataset$dadedu <- workdataset$J_Q07b

# Model

ordinalmodel <- polr(eduattain ~ dadedu, data = workdataset, weights =

"SPFWT0", Hess = TRUE)

## Recoding some empty rows into NA's

workdataset$eduattain[workdataset$B_Q01a == ""] <- NA

workdataset$dadedu[workdataset$J_Q07b == ""] <- NA

workdataset <- workdataset[!is.na(workdataset$dadedu) &

!is.na(workdataset$eduattain),]

length(workdataset$SPFWT0[!is.na(workdataset$eduattain)])

length(workdataset$SPFWT0[!is.na(workdataset$dadedu)])

#Problem persists

ordinalmodel <- polr(eduattain ~ dadedu, data = workdataset, weights =

"SPFWT0", Hess = TRUE)

*Note: This study has over 10 datasets for different countries and

regardless of the dataset I use the problem persists.*

I've tried all sorts of different things to fix this(I thought it was the

way I recoded the dependent and independent variables, I thought it was

because of empty rows). If I exclude the weight variable, the model works

just fine. I tried looking at the length of the weight when the two

different variables are not NA's and the length is the same.

Please, any help is appreciated.

*Jorge C.*

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