Exporting R output into Latex - Stargazer for non suported objects -

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i'm estimating models in r using frontier package , need export results latex. output quite similar lm regression [see below] frontier objects not supported stargazer export them latex code. there way work around this? idea? *i looking texreg , apsrtable, far unsuccessfully.

example of frontier regression output:

enter image description here

i don't know getting stargazer output unsupported models, can use atidy method broom package basic output format compatible xtable, knitr::kable, or pixiedust

library(broom) library(frontier)  # example included in frontier 4.1 (cross-section data) data( front41data )  # cobb-douglas production frontier cobbdouglas <- sfa( log( output ) ~ log( capital ) + log( labour ),                     data = front41data ) tidy(cobbdouglas, conf.int = true) broom:::tidy.lm(cobbdouglas)            term  estimate  std.error statistic      p.value 1  (intercept) 0.5616193 0.20261685  2.771829 5.574228e-03 2 log(capital) 0.2811022 0.04764337  5.900132 3.632107e-09 3  log(labour) 0.5364798 0.04525156 11.855499 2.015196e-32 4      sigmasq 0.2170003 0.06390907  3.395454 6.851493e-04 5        gamma 0.7972069 0.13642438  5.843581 5.109042e-09

for summary statistics, need write own glance method, frontier objects aren't compatible broom:::glance.lm.

but think end story that, if want mimic stargazer output, you'll have preprocessing work.

and since i'm feeling ambitious today, here's tidy method frontier objects.

tidy.frontier <- function(x, conf.int = false, conf.level = .95,                           exponentiate = false, quick = false, ...) {   broom:::tidy.lm(x, conf.int = conf.int, conf.level = conf.level,                   exponentiate = exponentiate, quick = quick, ...) }   # example included in frontier 4.1 (cross-section data) data( front41data )  # cobb-douglas production frontier cobbdouglas <- sfa( log( output ) ~ log( capital ) + log( labour ),                     data = front41data ) tidy(cobbdouglas, conf.int = true)

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