Package: tabshiftr 0.5.1

Steffen Ehrmann

tabshiftr: Reshape Disorganised Messy Data

Helps the user to build and register schema descriptions of disorganised (messy) tables. Disorganised tables are tables that are not in a topologically coherent form, where packages such as 'tidyr' could be used for reshaping. The schema description documents the arrangement of input tables and is used to reshape them into a standardised (tidy) output format.

Authors:Steffen Ehrmann [aut, cre], Tsvetelina Tomova [ctb], Carsten Meyer [aut], Abdualmaged Alhemiary [ctb], Amelie Haas [ctb], Annika Ertel [ctb], Arne Rümmler [ctb], Caroline Busse [ctb]

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NEWS

# Install 'tabshiftr' in R:

install.packages('tabshiftr', repos = c('https://luckinet.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/luckinet/tabshiftr/issues

Datasets:

schema_default - Default template of a schema description
tabs2shift - List of table types

On CRAN:

data-management data-reshaping schemas

7.07 score 6 stars 1 packages 62 scripts 199 downloads 16 exports 42 dependencies

Last updated 1 months agofrom:95c2250557. Checks:OK: 7. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Nov 20 2024
R-4.5-win	OK	Nov 20 2024
R-4.5-linux	OK	Nov 20 2024
R-4.4-win	OK	Nov 20 2024
R-4.4-mac	OK	Nov 20 2024
R-4.3-win	OK	Nov 20 2024
R-4.3-mac	OK	Nov 20 2024

Exports:.find .sum %>%getClusterVar getGroupVar getIDVars getObsVars reorganise setCluster setFilter setFormat setGroups setIDVar setObsVar validateInput validateSchema

Dependencies:backports brio callr checkmate cli cpp11 crayon desc diffobj digest dplyr evaluate fansi fs generics glue jsonlite lifecycle lubridate magrittr pillar pkgbuild pkgconfig pkgload praise processx ps purrr R6 rlang rprojroot stringi stringr testthat tibble tidyr tidyselect timechange utf8 vctrs waldo withr

tabshiftr - Reshape disorganized messy data

Rendered fromtabshiftr.Rmdusingknitr::rmarkdownon Nov 20 2024.

Last update: 2024-10-21
Started: 2020-03-19

Help page	Topics
Evaluate .find constructs	.eval_find
Evaluate .sum constructs	.eval_sum
Test for a valid table	.expect_valid_table
Convenience wrapper around tidyr::fill()	.fill
Determine row or column on the fly	.find
Get the column types of a tibble	.getColTypes
Summarise groups of rows or columns	.sum
Match variables	.tidyVars
Update the formating of a table	.updateFormat
Extract cluster variables	getClusterVar
Extract cluster group variable	getGroupVar
Extract identifying variables	getIDVars
Extract observed variables	getObsVars
Reorganise a table	reorganise
Catch and report problems in a schema description	reportProblems
Default template of a schema description	schema_default
The 'schema' class (S4) and its methods	schema schema-class
Set where the clusters are	setCluster
Set filters	setFilter
Set the specific format of a table	setFormat
Set Groups	setGroups
Set an identifying variable	setIDVar
Set an observed variable	setObsVar
Print the 'schema'	show,schema-method
List of table types	tabs2shift
Pre-process input table	validateInput
Check and update schema descriptions	validateSchema

Package: tabshiftr 0.5.1

tabshiftr: Reshape Disorganised Messy Data

tabshiftr - Reshape disorganized messy data

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