Usage
tabglm.svy(svyglmfit, latex = FALSE, xlabels = NULL, ci.beta = TRUE, inference = "wald.t",
decimals = 2, p.decimals = c(2, 3), p.cuts = 0.01, p.lowerbound = 0.001,
p.leading0 = TRUE, p.avoid1 = FALSE, basic.form = FALSE, intercept = TRUE,
n = FALSE, events = FALSE)Arguments
svyglmfit
An object returned from svyglm function call [1,2].
latex
If TRUE, object returned will be formatted for printing in LaTeX using xtable [3]; if FALSE, it will be formatted for copy-and-pasting from RStudio into a word processor.
xlabels
Optional character vector to label the x variables and their levels. If unspecified, the function uses the variable names and values themselves.
ci.beta
If TRUE, the table returned will include a column for Wald 95% confidence interval for the regression coefficients.
inference
If "wald.t", confidence intervals and p-values are based on t distributions with degrees of freedom given by svyglmfit$df.residual; if "wald.z", confidence intervals and p-values are based on z distributions.
decimals
Number of decimal places for numeric values in the table (except p-values).
p.decimals
Number of decimal places for p-values. If a vector is provided rather than a single value, number of decimal places will depend on what range the p-value lies in. See p.cuts.
p.cuts
Cut-point(s) to control number of decimal places used for p-values. For example, by default p.cuts is 0.1 and p.decimals is c(2, 3). This means that p-values in the range [0.1, 1] will be printed to two decimal places, while p-values in the range [0, 0.1)
p.lowerbound
Controls cut-point at which p-values are no longer printed as their value, but rather
p.leading0
If TRUE, p-values are printed with 0 before decimal place; if FALSE, the leading 0 is omitted.
p.avoid1
If TRUE, p-values rounded to 1 are not printed as 1, but as >0.99 (or similarly depending on values for p.decimals and p.cuts).
basic.form
If TRUE, there is no attempt to neatly format factor variables and their levels, and the table returned is very similar to what you see when you run summary(glmfit).
intercept
If FALSE, the table returned will not include a row for the intercept.
n
If TRUE, the table returned will include a column for sample size.
events
If TRUE, the table returned will include a column for number of events observed. Only meaningful when the outcome variable is binary.