Print a short summary of the contents of an object. Most useful as a way to get a quick overview of the variables in data frame.
inspect(object, ...)
# S3 method for class 'list'
inspect(object, max.level = 2, ...)
# S3 method for class 'character'
inspect(object, ...)
# S3 method for class 'logical'
inspect(object, ...)
# S3 method for class 'numeric'
inspect(object, ...)
# S3 method for class 'factor'
inspect(object, ...)
# S3 method for class 'Date'
inspect(object, ...)
# S3 method for class 'POSIXt'
inspect(object, ...)
# S3 method for class 'data.frame'
inspect(object, select = TRUE, digits = getOption("digits", 3), ...)
# S3 method for class 'inspected_data_frame'
print(x, digits = NULL, ...)a data frame or a vector
additional arguments passed along to specific methods
an integer giving the depth to which lists should be expanded
a logical, character (naming variables), or numeric vector or a
function used to select variables to which FUN is applied. If a function,
it should take a vector as input and return a single logical. See examples here and
at link{dfapply}.
and integer giving the number of digits to display
an object
if (require(mosaicData)) {
inspect(Births78)
inspect(Births78, is.numeric)
}
#>
#> quantitative variables:
#> name class min Q1 median Q3 max mean sd n
#> 1 births integer 7135 8554 9218 9705 10711 9132.161644 817.882087 365
#> 2 year numeric 1978 1978 1978 1978 1978 1978.000000 0.000000 365
#> 3 month numeric 1 4 7 10 12 6.526027 3.452584 365
#> 4 day_of_year integer 1 92 183 274 365 183.000000 105.510663 365
#> 5 day_of_month integer 1 8 16 23 31 15.720548 8.808321 365
#> 6 day_of_week numeric 1 2 4 6 7 3.991781 2.006155 365
#> missing
#> 1 0
#> 2 0
#> 3 0
#> 4 0
#> 5 0
#> 6 0