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Browse columns like Stata's browse command

Source: R/browse.R
browse.Rd

Open all or selected columns in an interactive data viewer. Outside an interactive session, no viewer is opened.

Usage

browse(.data, ...)

Arguments

.data

A data frame or tibble.

...

<tidy-select> or <data-masking> Columns to select or compute with select_or_transmute(). Existing columns, selection helpers, and named expressions can be mixed. Omit to browse all columns.

Value

The viewed data, invisibly, with its data-frame class preserved. With no selection this is the input data; otherwise it is the result of select_or_transmute(). The input is not modified.

Details

Viewing uses tibble::view(). Existing grouping and grouping-key retention follow select_or_transmute(). Assign the invisible return value to keep the viewed columns for subsequent analysis. Precompute expressions with side effects before passing them to the selection interface.

See also

ds(), variables(), codebook()

Other inspection functions: codebook(), misstable(), names, var_type(), variables()

Examples

if (interactive()) {
  browse(lifeexp)

  browse(lifeexp, country:lexp)

  browse(lifeexp, varlist("*p*"))

  browse(lifeexp, country, gnppc_thousands = gnppc / 1000)

  # Retain the viewed columns for the next pipeline stage.
  selected <- browse(lifeexp, country, lexp, gnppc)
  summ(selected, lexp, gnppc)
}