Hello, I am currently studying Econometrics at my university in Sweden, and we use RStudio. We are now doing our last assignment and I need a little bit of help with it. I have made a regression table using the huxreg() function for 4 different models. The task is to make the table only display the two coefficients that all models have. Since two of the models use the LSDV approach, they have a lot of different coefficients which I would like to exclude. How do I do this? To this point I have made the regression table like this: huxreg(model_1, model_2, model_3, model 4, statistics = c(N = "nobs", R2 = "r.squared"), stars = c(* = 0.1, ** = 0.05, *** = 0.01)). I would really be grateful if you could help me with this. I don't know if this is the right way to ask for help, but at least I thought I could give it a try. Best regards, Linda Stefansson
Help with using the huxreg() function
3 messages · Linda Stefansson, Bert Gunter, Ivan Krylov
" I don't know if this is the right way to ask for help, but at least I thought I could give it a try." It isn't. Read the posting guide linked below to learn what is expected here. In particular, please note that it explicitly says: "Basic statistics and classroom homework: R-help is not intended for these." (though sometimes people do reply) Also, questions about specialized packages (like huxreg) will often go unanswered -- there are thousands of packages, after all. Note that huxreg has a vignette -- have you studied it carefully? You may also wish to contact the maintainer (found via the maintainer() function) as there may be package-specific Help resources maintained by them. Finally, RStudio is not R. RStudio is a private company with their own Help resources at: https://community.rstudio.com/ So if your issues involve RStudio developed packages/ecosystems like the Tidyverse, that is probably a better place to look for help. (Also, please note that if you post *here*, this is a *plain text* list: HTML can get messed up by the server, as the PG says). Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Tue, Mar 22, 2022 at 2:18 PM Linda Stefansson
<linda.smile.stefansson at gmail.com> wrote:
Hello,
I am currently studying Econometrics at my university in Sweden, and we use
RStudio.
We are now doing our last assignment and I need a little bit of help with
it.
I have made a regression table using the huxreg() function for 4 different
models. The task is to make the table only display the two coefficients
that all models have. Since two of the models use the LSDV approach, they
have a lot of different coefficients which I would like to exclude. How do
I do this? To this point I have made the regression table like this:
huxreg(model_1, model_2, model_3, model 4, statistics = c(N = "nobs", R2 =
"r.squared"), stars = c(* = 0.1, ** = 0.05, *** = 0.01)).
I would really be grateful if you could help me with this. I don't know if
this is the right way to ask for help, but at least I thought I could give
it a try.
Best regards,
Linda Stefansson
[[alternative HTML version deleted]]
______________________________________________ R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
On Tue, 22 Mar 2022 21:51:19 +0100
Linda Stefansson <linda.smile.stefansson at gmail.com> wrote:
The task is to make the table only display the two coefficients that all models have.
To this point I have made the regression table like this: huxreg(model_1, model_2, model_3, model 4, statistics = c(N = "nobs", R2 = "r.squared"), stars = c(* = 0.1, ** = 0.05, *** = 0.01)).
help(huxreg) describes an argument to huxreg() that defines the coefficients to display. You can specify them manually, or use a combination of Reduce() and intersect() to make R find out the required coefficients for you.
Best regards, Ivan