this question has answer here:
- pattern matching using wildcard 5 answers
- robust se. (vcovhc) shown texreg in r 1 answer
i generate robust standard errors library(sandwich) e.g.
library(sandwich) cov.xxx <- vcovhc(xxx, type = "hc") rob.std.err.xxx <- sqrt(diag(cov.xxx)) then integrate in latex export presenting several models in parallel. works "well". use
library(texreg) texreg(list(x, xx, xxx, xxxx), custom.model.names = c("1", "2", "3", "4"), custom.coef.names = c("constant", "a", "b", "c", "d", "e", "f", "g", "h","i", "j", "k", "l", "wrong sequenced element", "n", "o", "p", "q", "r", "s", "t", "u", "v", "w", "x"), groups = list("var1" = 1:5, "var2" = 6:14, "var3" = 15:19, "var4" = 20:25), sideways = t, single.row = t, override.se = list(c(0.1,0.1, 0.1, 0.1, 0.1), c(0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1), c(0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1), **rob.std.err.xxx #values robust regression** ), caption= "zzz", return.string = true, use.packages = false , booktabs = true, dcolumn = true, digits = 3, file = paste0(tablesdir, "xxxx.tex")) however order of attributes in rob.std.err.xxx not correspond lm model. , cannot figure out how alter se override properly. if can advise on same procedure on p-values appreciated!
all need alter sequence in rob.std.err.xxx , export target structure indicated above.
this question refers texreg "issue". mentioned in comment solution exists.
thanks in advance support.
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