Return display name for stats

Description

Return display name for stats

Usage

get_display_names(stats)

Arguments

Value

character vector of display names

Create the Siginicance Stars

Description

Based on the coefficient and standard errors and significance levels, return character vector of stars.

Usage

get_star(pv, alpha, ...)

Arguments

Value

character vector

Generate Regression Table

Description

Generate a regression table in data.frame format from a set of model fit objects. Currently supports lm, glm, survreg, and ivreg model outcomes.

Usage

outreg(fitlist, digits = 3L, alpha = c(0.1, 0.05, 0.01),
  bracket = c("se"), starred = c("coef"), robust = FALSE, small = TRUE,
  constlast = FALSE, norepeat = TRUE, displayed = list(), ...)

Arguments

Details

Use outreg_stat_list to see the available stats names. The stats names are to be used for specifying bracket, starred, and displayed options.

Statistics to include can be chosen by displayed option or by `...`. For example, outreg(fitlist, displayed = list(pv = TRUE)) is identical with outreg(fitlist pv = TRUE), and p values of coefficients are displayed.

Value

regression table in data.frame format

Examples

fitlist <- list(lm(mpg ~ cyl, data = mtcars),
                lm(mpg ~ cyl + wt + hp, data = mtcars),
                lm(mpg ~ cyl + wt + hp + drat, data = mtcars))
outreg(fitlist)

# with custom regression names
outreg(setNames(fitlist, c('small', 'medium', 'large')))

# star on standard errors, instead of estimate
outreg(fitlist, starred = 'se')

# include other stats
outreg(fitlist, pv = TRUE, tv = TRUE, se = FALSE)


# poisson regression
counts <- c(18,17,15,20,10,20,25,13,12)
outcome <- gl(3,1,9)
treatment <- gl(3,3)
fitlist2 <- list(glm(counts ~ outcome, family = poisson()),
                 glm(counts ~ outcome + treatment, family = poisson()))
outreg(fitlist2)


# logistic regression
fitlist3 <- list(glm(cbind(ncases, ncontrols) ~ agegp,
                     data = esoph, family = binomial()),
                 glm(cbind(ncases, ncontrols) ~ agegp + tobgp + alcgp,
                     data = esoph, family = binomial()),
                 glm(cbind(ncases, ncontrols) ~ agegp + tobgp * alcgp,
                     data = esoph, family = binomial()))
outreg(fitlist3)


# survival regression
library(survival)
fitlist4 <- list(survreg(Surv(time, status) ~ ph.ecog + age,
                         data = lung),
                 survreg(Surv(time, status) ~ ph.ecog + age + strata(sex),
                         data = lung))
outreg(fitlist4)


# tobit regression
fitlist5 <- list(survreg(Surv(durable, durable>0, type='left') ~ 1,
                 data=tobin, dist='gaussian'),
                 survreg(Surv(durable, durable>0, type='left') ~ age + quant,
                 data=tobin, dist='gaussian'))
outreg(fitlist5)


# instrumental variable regression
library(AER)
data("CigarettesSW", package = "AER")
CigarettesSW$rprice <- with(CigarettesSW, price/cpi)
CigarettesSW$rincome <- with(CigarettesSW, income/population/cpi)
CigarettesSW$tdiff <- with(CigarettesSW, (taxs - tax)/cpi)

fitlist6 <- list(OLS = lm(log(packs) ~ log(rprice) + log(rincome),
                          data = CigarettesSW, subset = year == "1995"),
                 IV1 = ivreg(log(packs) ~ log(rprice) + log(rincome) |
                             log(rincome) + tdiff + I(tax/cpi),
                             data = CigarettesSW, subset = year == "1995"),
                 IV2 = ivreg(log(packs) ~ log(rprice) + log(rincome) |
                             log(population) + tdiff + I(tax/cpi),
                             data = CigarettesSW, subset = year == "1995"))
outreg(fitlist6)

List of Statictics Available on outreg

Description

Returns all available statistics on outreg. Statistics names can be used for customizing the outputs, e.g., to choose stats to display or to choose stats to put starts.

Usage

outreg_stat_list()

Value

a data.frame that matches stat name and display name

Examples

outreg_stat_list()