Descriptives with confidence intervals

descriptiveCIs(
  data,
  items = NULL,
  itemLabels = NULL,
  conf.level = 0.95,
  digits = 2
)

# S3 method for rosettaDescriptiveCIs
print(x, digits = attr(x, "digits"), forceKnitrOutput = FALSE, ...)

Arguments

data: The data frame holding the data, or a vector.
items: If supplying a data frame as data, the names of the columns to process.
itemLabels: Optionally, labels to use for the items (optionally, named, with the names corresponding to the items; otherwise, the order of the labels has to match the order of the items)
conf.level: The confidence level of the confidence intervals.
digits: The number of digits to round the output to.
x: The object to print (i.e. the object returned by descriptiveCIs).
forceKnitrOutput: Whether to force knitr output even when not knitting.
...: Any additional arguments are passed on to knitr::kable() or to base::print().

Value

A data frame with class rosettaDescriptiveCIs prepended to allow printing neatly while knitting to Markdown.

Examples

descriptiveCIs(mtcars);
#>      mean.ci.lo mean.point mean.ci.hi sd.ci.lo sd.point sd.ci.hi
#> mpg       17.92      20.09      22.26     4.83     6.03     8.01
#> cyl        5.54       6.19       6.83     1.43     1.79     2.37
#> disp     186.04     230.72     275.41    99.36   123.94   164.77
#> hp       121.97     146.69     171.41    54.97    68.56    91.15
#> drat       3.40       3.60       3.79     0.43     0.53     0.71
#> wt         2.86       3.22       3.57     0.78     0.98     1.30
#> qsec      17.20      17.85      18.49     1.43     1.79     2.38
#> vs         0.26       0.44       0.62     0.40     0.50     0.67
#> am         0.23       0.41       0.59     0.40     0.50     0.66
#> gear       3.42       3.69       3.95     0.59     0.74     0.98
#> carb       2.23       2.81       3.39     1.29     1.62     2.15
#> 
#> Note: these are 95% confidence intervals.