Abstract: Abstract

Description

Compactly display the content and structure of a data.frame, including variable labels. str is optimised for lists and it's 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 = 99)

Arguments

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, defining how many factor levels are to be displayed. Default is 12. Set this to Inf, if all levels are needed.

trunc

logical, defining if level names excceeding the column with should be truncated. Default ist TRUE.

list.len

numeric; maximum number of list elements to display.

Value

abstract, essentially a character matrix with 5 or 6 columns containing a sequential nr (Nr), the name of the column (ColName), the class (Class), the number of NAs (NAs), the levels if the variable is a factor (Levels) and - if there are any - descriptive labels for the column (Labels). .

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.

Examples

Run this code

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)

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