import_tibble: Import 'tibble'

In eatGADS: Data Management of Large Hierarchical Data

Import tibble

Description

Function to import a tibble while extracting meta information, e.g. variable and value labels.

Usage

import_tibble(
  tibble,
  checkVarNames = TRUE,
  labeledStrings = c("drop", "keep", "transform")
)

Arguments

tibble	A tibble object.
checkVarNames	Should variable names be checked for violations of SQLite and R naming rules?
labeledStrings	Should strings as labeled values be allowed? If "drop" (default), all labeled strings are dropped and NAs occur in the meta data. If "transform", all underlying values are transformed to numeric. If "keep", value labels stay untouched. However, the latter possibly corrupts all labeled values.

Details

Tibbles may store variable and value labels as well as missing tags via the labelled class. import_tibble restructures this meta information separately in a long format data.frame. Value labels and missing tags are used to identify missing tags (see checkMissings). Time and date variables are converted to character.

Value

Returns a list with the actual data dat and a data frame with all meta information in long format labels.

Examples

# Use spss data from within package
spss_path <- system.file("extdata", "pisa.zsav", package = "eatGADS")
pisa_gads <- import_spss(spss_path)

eatGADS documentation built on June 8, 2025, 12:42 p.m.