Description Usage Arguments Details Value See Also
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.
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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"
)
 | 
| x | Usually a vector. | 
| na.rm | Should NAs be removed? | 
| ... | Other arguments. | 
| weights | A vector of weights. | 
| conf.level | Numeric, denoting what confidence level to use for confidence intervals. | 
| times | A vector of times to use for survival summaries. | 
| levels | A vector of levels that character  | 
| by | a vector of the by-values. | 
| by.levels | a vector of the levels of  | 
| totallab | What to call the total "column" | 
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").
Usually a vector of the appropriate numbers.
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