Constructor for texreg objects
Constructor for texreg objects.
createTexreg( coef.names, coef, se = numeric(0), pvalues = numeric(0), ci.low = numeric(0), ci.up = numeric(0), gof.names = character(0), gof = numeric(0), gof.decimal = logical(0), model.name = character(0) )
coef.names | 
 The names for the covariates in a model as a
  | 
coef | 
 The coefficients as a   | 
se | 
 The standard errors as a   | 
pvalues | 
 The p-values as a   | 
ci.low | 
 The lower bounds of the confidence intervals as a
  | 
ci.up | 
 The upper bounds of the confidence intervals as a
  | 
gof.names | 
 Names of the goodness-of-fit statistics as a
  | 
gof | 
 Goodness-of-fit statistics as a   | 
gof.decimal | 
 A   | 
model.name | 
 A name for the statistical model. Can be a   | 
This function creates a texreg object. A texreg
object contains information about coefficients, standard errors, p-values
(optional), and about goodness-of-fit statistics. Instead of standard
errors and p-values, a texreg object may also contain upper and
lower bounds of a confidence interval. texreg objects are used
by the texreg function to create LaTeX tables and other
representations of the model results.
A texreg object representing the statistical model.
Philip Leifeld
Leifeld, Philip (2013). texreg: Conversion of Statistical Model Output in R to LaTeX and HTML Tables. Journal of Statistical Software 55(8): 1-24. http://www.jstatsoft.org/v55/i08/.
library("nlme")  # load library for fitting linear mixed effects models
model <- lme(distance ~ age, data = Orthodont, random = ~ 1)  # estimate
coefficient.names <- rownames(summary(model)$tTable)  # extract coef names
coefficients <- summary(model)$tTable[, 1]  # extract coefficient values
standard.errors <- summary(model)$tTable[, 2]  # extract standard errors
significance <- summary(model)$tTable[, 5]  #extract p-values
lik <- summary(model)$logLik  # extract log likelihood
aic <- summary(model)$AIC  # extract AIC
bic <- summary(model)$BIC  # extract BIC
n <- nobs(model)  # extract number of observations
gof <- c(aic, bic, lik, n)  # create a vector of GOF statistics
gof.names <- c("AIC", "BIC", "Log Likelihood", "Num. obs.")  # names of GOFs
decimal.places <- c(TRUE, TRUE, TRUE, FALSE)  # last one is a count variable
# create the texreg object
tr <- createTexreg(coef.names = coefficient.names,
                   coef = coefficients,
                   se = standard.errors,
                   pvalues = significance,
                   gof.names = gof.names,
                   gof = gof,
                   gof.decimal = decimal.places)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.