A collection of functions that will report summary statistics. To create a custom function,
consider using a function with all three arguments and ...
. See the tableby
vignette
for an example.
arsenal_sum(x, na.rm = TRUE, ...)arsenal_min(x, na.rm = TRUE, ...)
arsenal_max(x, na.rm = TRUE, ...)
arsenal_mean(x, na.rm = TRUE, weights = NULL, ...)
arsenal_sd(x, na.rm = TRUE, weights = NULL, ...)
arsenal_var(x, na.rm = TRUE, weights = NULL, ...)
meansd(x, na.rm = TRUE, weights = NULL, ...)
meanse(x, na.rm = TRUE, weights = NULL, ...)
meanCI(x, na.rm = TRUE, weights = NULL, conf.level = 0.95, ...)
medianrange(x, na.rm = TRUE, weights = NULL, ...)
medianmad(x, na.rm = TRUE, weights = NULL, ...)
arsenal_median(x, na.rm = TRUE, weights = NULL, ...)
arsenal_range(x, na.rm = TRUE, ...)
gmean(x, na.rm = TRUE, weights = NULL, ...)
gsd(x, na.rm = TRUE, weights = NULL, ...)
gmeansd(x, na.rm = TRUE, weights = NULL, ...)
gmeanCI(x, na.rm = TRUE, weights = NULL, conf.level = 0.95, ...)
Nsigntest(x, na.rm = TRUE, weights = NULL, ...)
Nevents(x, na.rm = TRUE, weights = NULL, ...)
medSurv(x, na.rm = TRUE, weights = NULL, ...)
NeventsSurv(x, na.rm = TRUE, weights = NULL, times = 1:5, ...)
NriskSurv(x, na.rm = TRUE, weights = NULL, times = 1:5, ...)
Nrisk(x, na.rm = TRUE, weights = NULL, times = 1:5, ...)
medTime(x, na.rm = TRUE, weights = NULL, ...)
q1q3(x, na.rm = TRUE, weights = NULL, ...)
medianq1q3(x, na.rm = TRUE, weights = NULL, ...)
iqr(x, na.rm = TRUE, weights = NULL, ...)
Nmiss(x, weights = NULL, ...)
Nmiss2(x, weights = NULL, ...)
N(x, na.rm = TRUE, weights = NULL, ...)
Npct(
x,
levels = NULL,
by,
by.levels = sort(unique(by)),
na.rm = TRUE,
weights = NULL,
...,
totallab = "Total"
)
count(x, levels = NULL, na.rm = TRUE, weights = NULL, ...)
countpct(x, levels = NULL, na.rm = TRUE, weights = NULL, ...)
countN(x, levels = NULL, na.rm = TRUE, weights = NULL, ...)
countrowpct(
x,
levels = NULL,
by,
by.levels = sort(unique(by)),
na.rm = TRUE,
weights = NULL,
...,
totallab = "Total"
)
countcellpct(
x,
levels = NULL,
by,
by.levels = sort(unique(by)),
na.rm = TRUE,
weights = NULL,
...,
totallab = "Total"
)
binomCI(x, levels = NULL, na.rm = TRUE, weights = NULL, conf.level = 0.95, ...)
rowbinomCI(
x,
levels = NULL,
by,
by.levels = sort(unique(by)),
na.rm = TRUE,
weights = NULL,
conf.level = 0.95,
...,
totallab = "Total"
)
Usually a vector.
Should NAs be removed?
Other arguments.
A vector of weights.
Numeric, denoting what confidence level to use for confidence intervals.
A vector of times to use for survival summaries.
A vector of levels that character x
s should have.
a vector of the by-values.
a vector of the levels of by
.
What to call the total "column"
Usually a vector of the appropriate numbers.
Not all these functions are exported, in order to avoid conflicting NAMESPACES.
Note also that the functions prefixed with "arsenal_"
can be referred to by their short names
(e.g., "min"
for "arsenal_min"
).