modelsum
functionControl test and summary settings for modelsum
function.
modelsum.control(
digits = 3L,
digits.ratio = 3L,
digits.p = 3L,
format.p = TRUE,
show.adjust = TRUE,
show.intercept = TRUE,
conf.level = 0.95,
ordinal.stats = c("OR", "CI.lower.OR", "CI.upper.OR", "p.value", "Nmiss"),
binomial.stats = c("OR", "CI.lower.OR", "CI.upper.OR", "p.value", "concordance",
"Nmiss"),
gaussian.stats = c("estimate", "std.error", "p.value", "adj.r.squared", "Nmiss"),
poisson.stats = c("RR", "CI.lower.RR", "CI.upper.RR", "p.value", "Nmiss"),
negbin.stats = c("RR", "CI.lower.RR", "CI.upper.RR", "p.value", "Nmiss"),
relrisk.stats = c("RR", "CI.lower.RR", "CI.upper.RR", "p.value", "Nmiss"),
clog.stats = c("OR", "CI.lower.OR", "CI.upper.OR", "p.value", "concordance", "Nmiss"),
survival.stats = c("HR", "CI.lower.HR", "CI.upper.HR", "p.value", "concordance",
"Nmiss"),
stat.labels = list(),
...
)
Numeric, denoting the number of digits after the decimal point for beta coefficients and standard errors.
Numeric, denoting the number of digits after the decimal point for ratios, e.g. OR, RR, HR.
Numeric, denoting the number of digits for p-values. See "Details", below.
Logical, denoting whether to format p-values. See "Details", below.
Logical, denoting whether to show adjustment terms.
Logical, denoting whether to show intercept terms.
Numeric, giving the confidence level.
Character vectors denoting which stats to show for the various model types.
A named list of labels for all the stats used above.
Other arguments (not in use at this time).
A list with settings to be used within the modelsum
function.
If format.p
is FALSE
, digits.p
denotes the number of significant digits shown. The
p-values will be in exponential notation if necessary. If format.p
is TRUE
,
digits.p
will determine the number of digits after the decimal point to show. If the p-value
is less than the resulting number of places, it will be formatted to show so.