utils (version 3.3.2)

dataentry: Spreadsheet Interface for Entering Data

Description

A spreadsheet-like editor for entering or editing data.

Usage

data.entry(…, Modes = NULL, Names = NULL)
dataentry(data, modes)
de(…, Modes = list(), Names = NULL)

Arguments

…

A list of variables: currently these should be numeric or character vectors or list containing such vectors.

Modes

The modes to be used for the variables.

Names

The names to be used for the variables.

data

A list of numeric and/or character vectors.

modes

A list of length up to that of data giving the modes of (some of) the variables. list() is allowed.

Value

de and dataentry return the edited value of their arguments. data.entry invisibly returns a vector of variable names but its main value is its side effect of assigning new version of those variables in the user's workspace.

Resources

The data entry window responds to X resources of class R_dataentry. Resources foreground, background and geometry are utilized.

Details

The data entry editor is only available on some platforms and GUIs. Where available it provides a means to visually edit a matrix or a collection of variables (including a data frame) as described in the Notes section. data.entry has side effects, any changes made in the spreadsheet are reflected in the variables. The functions de, de.ncols, de.setup and de.restore are designed to help achieve these side effects. If the user passes in a matrix, X say, then the matrix is broken into columns before dataentry is called. Then on return the columns are collected and glued back together and the result assigned to the variable X. If you don't want this behaviour use dataentry directly. The primitive function is dataentry. It takes a list of vectors of possibly different lengths and modes (the second argument) and opens a spreadsheet with these variables being the columns. The columns of the dataentry window are returned as vectors in a list when the spreadsheet is closed. de.ncols counts the number of columns which are supplied as arguments to data.entry. It attempts to count columns in lists, matrices and vectors. de.setup sets things up so that on return the columns can be regrouped and reassigned to the correct name. This is handled by de.restore.

See Also

vi, edit: edit uses dataentry to edit data frames.

Examples

# call data entry with variables x and y
## Not run: data.entry(x, y)