Error in summary.formula : matrix variables must have column dimnames

Question

I am new to R, and I can't fix the bug after searching for one hour. It seems that there's no similar problem posted before.

I followed the instruction from https://stats.idre.ucla.edu/r/dae/ordinal-logistic-regression/ ,and want to test the proportional assumption for my data.

Following is my code:

sf <- function(y) {
  c('Y>=1' = qlogis(mean(y >= 1)),
    'Y>=2' = qlogis(mean(y >= 2)),
    'Y>=3' = qlogis(mean(y >= 3)),
    'Y>=3' = qlogis(mean(y >= 4)),
    'Y>=3' = qlogis(mean(y >= 5)))
}

(s <- with(dat, summary(as.numeric(implied_rating) ~ GDP + importance, fun = sf)))

But the error occurs.

"Error in summary.formula(matrix(as.numeric(implied_rating)) ~ matrix(GDP) + : matrix variables must have column dimnames"

What should I do?

Many thanks in advance!

PS: dat is my dataset. The implied rating is my dependent variable, and GDP and importance are my independent variables. — Rosie

Rosie Rosie · Accepted Answer · 2020-02-22T03:31:57

Solved. I thought dimnames is colnames... Just mannually set dimnames to every column. But I still wonder if there's better way to solve the problem.

Error in summary.formula : matrix variables must have column dimnames

1 Answers