shape "rbind" and shape = term + response ~ statistic at the same time

[daSilva5]

Hi,
I would like some help.
I would like to know if it is somehow possible to use shape="rbind" and at the same time have the model stats on the wide format, such as while using shape = term + response ~ statistic at the same time.

Thanks

[vincentarelbundock]

No. But you can create two tables and use rbind(tab1, tab2)

[daSilva5]

ooh I see!!!

Thanks!

[daSilva5]

It does not seems to work. I get the following error: Error in .local(x, ...) :
unused arguments (i = NULL, j = list(2:6, 7:11), indent = 1, ihead = -1)

Using a modified example:

models <- list()
models[['OLS']] <- lm(mpg ~ factor(cyl), mtcars)
models[['Logit']] <- glm(am ~ factor(cyl), mtcars, family = binomial)

models2 <- list()
models2[['OLS']] <- lm(mpg ~ factor(cyl), mtcars)
models2[['Logit']] <- glm(am ~ factor(cyl), mtcars, family = binomial)

tabmod1<-modelsummary(models,
shape = term ~model+ statistic,
statistic=c(c("conf.int",
"std.error",
"p.value")))

tabmod2<-modelsummary(models2,
shape = term ~model+ statistic,
statistic=c(c("conf.int",
"std.error",
"p.value")))

rbind(tabmod1,tabmod2)

[vincentarelbundock]

Very sorry. I looked into this a bit and did not find an easy solution.

Closing this issue, not because I don't find it interesting, but because I will not have the time to work on a rather niche issue.

If it were me, I'd probably save as output="data.frame", build the table I actually want, and then feed that to tinytable::tt().

I'd be happy if someone else comes along to look into this.

Good luck.