DescTools (version 0.99.57)

Abstract: Display Compact Abstract of a Data Frame

Description

Compactly display the content and structure of a data.frame, including variable labels. str() is optimized for lists and its output is relatively technical, when it comes to e.g. attributes. summary() on the other side already calculates some basic statistics.

Usage

Abstract(
  x,
  sep = ", ",
  zero.form = ".",
  maxlevels = 5,
  trunc = TRUE,
  list.len = 999
)
# S3 method for abstract
print(x, sep = NULL, width = NULL, trunc = NULL, print.gap = 2, ...)

Value

an object of class abstract, essentially a character matrix with 5 or 6 columns containing:

1. a column number (Nr),

2. the name of the column (ColName),

3. the column class (Class),

4. the number of NAs (NAs),

5. the levels if the variable is a factor (Levels),

6. (if there are any) descriptive labels for the column (Labels).

Arguments

x

a data.frame to be described

sep

the separator for concatenating the levels of a factor

zero.form

a symbol to be used, when a variable has zero NAs.

maxlevels

(integer, Inf) Max. number of factor levels to display. Default is 5. Set this to Inf, if all levels are needed.

trunc

logical, defining if level names exceeding the column with should be truncated. Default is TRUE.

list.len

numeric; maximum number of list elements to display.

width

Console width. If NULL, defaults to options("width").

print.gap

(integer) Number of spaces between columns.

...

Further arguments to print method.

Author

Andri Signorell

Details

The levels of a factor and describing variable labels (as created by Label()) will be wrapped within the columns.

The first 4 columns are printed with the needed fix width, the last 2 (Levels and Labels) are wrapped within the column. The width is calculated depending on the width of the screen as given by getOption("width").

ToWord has an interface for the class abstract.

See Also

utils::str(), base::summary(), ColumnWrap(), Desc()

Other Statistical summary functions: Desc()

Examples

d.mydata <- d.pizza
# let's use some labels
Label(d.mydata) <- "Lorem ipsum dolor sit amet, consetetur sadipscing elitr,
sed diam nonumy eirmod tempor invidunt ut labore et dolore magna aliquyam erat,
sed diam voluptua. At vero eos et accusam."

Label(d.mydata$temperature) <- "Amet, consetetur sadipscing elitr, sed diam nonumy "

Abstract(d.mydata)