Package 'git2rdata'

Title: Store and Retrieve Data.frames in a Git Repository
Description: The git2rdata package is an R package for writing and reading dataframes as plain text files. A metadata file stores important information. 1) Storing metadata allows to maintain the classes of variables. By default, git2rdata optimizes the data for file storage. The optimization is most effective on data containing factors. The optimization makes the data less human readable. The user can turn this off when they prefer a human readable format over smaller files. Details on the implementation are available in vignette("plain_text", package = "git2rdata"). 2) Storing metadata also allows smaller row based diffs between two consecutive commits. This is a useful feature when storing data as plain text files under version control. Details on this part of the implementation are available in vignette("version_control", package = "git2rdata"). Although we envisioned git2rdata with a git workflow in mind, you can use it in combination with other version control systems like subversion or mercurial. 3) git2rdata is a useful tool in a reproducible and traceable workflow. vignette("workflow", package = "git2rdata") gives a toy example. 4) vignette("efficiency", package = "git2rdata") provides some insight into the efficiency of file storage, git repository size and speed for writing and reading.
Authors: Thierry Onkelinx [aut, cre] (<https://orcid.org/0000-0001-8804-4216>, Research Institute for Nature and Forest (INBO)), Floris Vanderhaeghe [ctb] (<https://orcid.org/0000-0002-6378-6229>, Research Institute for Nature and Forest (INBO)), Peter Desmet [ctb] (<https://orcid.org/0000-0002-8442-8025>, Research Institute for Nature and Forest (INBO)), Els Lommelen [ctb] (<https://orcid.org/0000-0002-3481-5684>, Research Institute for Nature and Forest (INBO)), Research Institute for Nature and Forest (INBO) [cph, fnd]
Maintainer: Thierry Onkelinx <[email protected]>
License: GPL-3
Version: 0.4.1
Built: 2024-11-05 05:59:00 UTC
Source: https://github.com/ropensci/git2rdata

Help Index

Re-exported Function From git2r

Description

See commit in git2r.

See Also

Other version_control: pull(), push(), recent_commit(), repository(), status()

Display metadata for a git2rdata object

Description

Display metadata for a git2rdata object

Usage

display_metadata(x, minimal = FALSE)

Arguments

x

a git2rdata object
minimal

logical, if TRUE only a message is displayed

See Also

Other storage: list_data(), prune_meta(), read_vc(), relabel(), rename_variable(), rm_data(), update_metadata(), verify_vc(), write_vc()

Check Whether a Git2rdata Object is Valid.

Description

A valid git2rdata object has valid metadata.

Usage

is_git2rdata(file, root = ".", message = c("none", "warning", "error"))

Arguments

file

the name of the git2rdata object. Git2rdata objects cannot have dots in their name. The name may include a relative path. file is a path relative to the root. Note that file must point to a location within root.
root

The root of a project. Can be a file path or a git-repository. Defaults to the current working directory (".").
message

a single value indicating the type of messages on top of the logical value. "none": no messages, "warning": issue a warning in case of an invalid metadata file. "error": an invalid metadata file results in an error. Defaults to "none".

Value

A logical value. TRUE in case of a valid git2rdata object. Otherwise FALSE.

See Also

Other internal: is_git2rmeta(), meta(), print.git2rdata(), summary.git2rdata(), upgrade_data()

Examples

# create a directory
root <- tempfile("git2rdata-")
dir.create(root)

# store a file
write_vc(iris[1:6, ], "iris", root, sorting = "Sepal.Length")
# check the stored file
is_git2rmeta("iris", root)
is_git2rdata("iris", root)

# Remove the metadata from the existing git2rdata object. Then it stops
# being a git2rdata object.
junk <- file.remove(file.path(root, "iris.yml"))
is_git2rmeta("iris", root)
is_git2rdata("iris", root)

# recreate the file and remove the data and keep the metadata. It stops being
# a git2rdata object, but the metadata remains valid.
write_vc(iris[1:6, ], "iris", root, sorting = "Sepal.Length")
junk <- file.remove(file.path(root, "iris.tsv"))
is_git2rmeta("iris", root)
is_git2rdata("iris", root)

Check Whether a Git2rdata Object Has Valid Metadata.

Description

Valid metadata is a file with .yml extension. It has a top level item ..generic. This item contains git2rdata (the version number), hash (a hash on the metadata) and data_hash (a hash on the data file). The version number must be the current version.

Usage

is_git2rmeta(file, root = ".", message = c("none", "warning", "error"))

Arguments

file

the name of the git2rdata object. Git2rdata objects cannot have dots in their name. The name may include a relative path. file is a path relative to the root. Note that file must point to a location within root.
root

The root of a project. Can be a file path or a git-repository. Defaults to the current working directory (".").
message

a single value indicating the type of messages on top of the logical value. "none": no messages, "warning": issue a warning in case of an invalid metadata file. "error": an invalid metadata file results in an error. Defaults to "none".

Value

A logical value. TRUE in case of a valid metadata file. Otherwise FALSE.

See Also

Other internal: is_git2rdata(), meta(), print.git2rdata(), summary.git2rdata(), upgrade_data()

Examples

# create a directory
root <- tempfile("git2rdata-")
dir.create(root)

# store a file
write_vc(iris[1:6, ], "iris", root, sorting = "Sepal.Length")
# check the stored file
is_git2rmeta("iris", root)
is_git2rdata("iris", root)

# Remove the metadata from the existing git2rdata object. Then it stops
# being a git2rdata object.
junk <- file.remove(file.path(root, "iris.yml"))
is_git2rmeta("iris", root)
is_git2rdata("iris", root)

# recreate the file and remove the data and keep the metadata. It stops being
# a git2rdata object, but the metadata remains valid.
write_vc(iris[1:6, ], "iris", root, sorting = "Sepal.Length")
junk <- file.remove(file.path(root, "iris.tsv"))
is_git2rmeta("iris", root)
is_git2rdata("iris", root)

List Available Git2rdata Files Containing Data

Description

The function returns the names of all valid git2rdata objects. This implies .tsv files with a matching valid metadata file (.yml). Invalid metadata files result in a warning. The function ignores valid metadata files without matching raw data (.tsv).

Usage

list_data(root = ".", path = ".", recursive = TRUE)

Arguments

root

the root of the repository. Either a path or a git-repository
path

relative path from the root. Defaults to the root
recursive

logical. Should the listing recurse into directories?

Value

A character vector of git2rdata object names, including their relative path.

See Also

Other storage: display_metadata(), prune_meta(), read_vc(), relabel(), rename_variable(), rm_data(), update_metadata(), verify_vc(), write_vc()

Examples

## on file system

# create a directory
root <- tempfile("git2rdata-")
dir.create(root)

# store a dataframe as git2rdata object. Capture the result to minimise
# screen output
junk <- write_vc(iris[1:6, ], "iris", root, sorting = "Sepal.Length")
# write a standard tab separate file (non git2rdata object)
write.table(iris, file = file.path(root, "standard.tsv"), sep = "\t")
# write a YAML file
yml <- list(
  authors = list(
   "Research Institute for Nature and Forest" = list(
       href = "https://www.inbo.be/en")))
yaml::write_yaml(yml, file = file.path(root, "_pkgdown.yml"))

# list the git2rdata objects
list_data(root)
# list the files
list.files(root, recursive = TRUE)

# remove all .tsv files from valid git2rdata objects
rm_data(root, path = ".")
# check the removal of the .tsv file
list.files(root, recursive = TRUE)
list_data(root)

# remove dangling git2rdata metadata files
prune_meta(root, path = ".")
# check the removal of the metadata
list.files(root, recursive = TRUE)
list_data(root)


## on git repo

# initialise a git repo using git2r
repo_path <- tempfile("git2rdata-repo-")
dir.create(repo_path)
repo <- git2r::init(repo_path)
git2r::config(repo, user.name = "Alice", user.email = "[email protected]")

# store a dataframe
write_vc(iris[1:6, ], "iris", repo, sorting = "Sepal.Length", stage = TRUE)
# check that the dataframe is stored
status(repo)
list_data(repo)

# commit the current version and check the git repo
commit(repo, "add iris data", session = TRUE)
status(repo)

# remove the data files from the repo
rm_data(repo, path = ".")
# check the removal
list_data(repo)
status(repo)

# remove dangling metadata
prune_meta(repo, path = ".")
# check the removal
list_data(repo)
status(repo)

Optimize an Object for Storage as Plain Text and Add Metadata

Description

Prepares a vector for storage. When relevant, meta() optimizes the object for storage by changing the format to one which needs less characters. The metadata stored in the meta attribute, contains all required information to back-transform the optimized format into the original format.

In case of a data.frame, meta() applies itself to each of the columns. The meta attribute becomes a named list containing the metadata for each column plus an additional ..generic element. ..generic is a reserved name for the metadata and not allowed as column name in a data.frame.

write_vc() uses this function to prepare a dataframe for storage. Existing metadata is passed through the optional old argument. This argument intended for internal use.

Usage

meta(x, ...)

## S3 method for class 'character'
meta(x, na = "NA", optimize = TRUE, ...)

## S3 method for class 'factor'
meta(x, optimize = TRUE, na = "NA", index, strict = TRUE, ...)

## S3 method for class 'logical'
meta(x, optimize = TRUE, ...)

## S3 method for class 'POSIXct'
meta(x, optimize = TRUE, ...)

## S3 method for class 'Date'
meta(x, optimize = TRUE, ...)

## S3 method for class 'data.frame'
meta(
  x,
  optimize = TRUE,
  na = "NA",
  sorting,
  strict = TRUE,
  split_by = character(0),
  ...
)

Arguments

x

the vector.
...

further arguments to the methods.
na

the string to use for missing values in the data.
optimize

If TRUE, recode the data to get smaller text files. If FALSE, meta() converts the data to character. Defaults to TRUE.
index

An optional named vector with existing factor indices. The names must match the existing factor levels. Unmatched levels from x will get new indices.
strict

What to do when the metadata changes. strict = FALSE overwrites the data and the metadata with a warning listing the changes, strict = TRUE returns an error and leaves the data and metadata as is. Defaults to TRUE.
sorting

an optional vector of column names defining which columns to use for sorting x and in what order to use them. The default empty sorting yields a warning. Add sorting to avoid this warning. Strongly recommended in combination with version control. See vignette("efficiency", package = "git2rdata") for an illustration of the importance of sorting.
split_by

An optional vector of variables name to split the text files. This creates a separate file for every combination. We prepend these variables to the vector of sorting variables.

Value

the optimized vector x with meta attribute.

Note

The default order of factor levels depends on the current locale. See Comparison for more details on that. The same code on a different locale might result in a different sorting. meta() ignores, with a warning, any change in the order of factor levels. Add strict = FALSE to enforce the new order of factor levels.

See Also

Other internal: is_git2rdata(), is_git2rmeta(), print.git2rdata(), summary.git2rdata(), upgrade_data()

Examples

meta(c(NA, "'NA'", '"NA"', "abc\tdef", "abc\ndef"))
meta(1:3)
meta(seq(1, 3, length = 4))
meta(factor(c("b", NA, "NA"), levels = c("NA", "b", "c")))
meta(factor(c("b", NA, "a"), levels = c("a", "b", "c")), optimize = FALSE)
meta(factor(c("b", NA, "a"), levels = c("a", "b", "c"), ordered = TRUE))
meta(
  factor(c("b", NA, "a"), levels = c("a", "b", "c"), ordered = TRUE),
  optimize = FALSE
)
meta(c(FALSE, NA, TRUE))
meta(c(FALSE, NA, TRUE), optimize = FALSE)
meta(complex(real = c(1, NA, 2), imaginary = c(3, NA, -1)))
meta(as.POSIXct("2019-02-01 10:59:59", tz = "CET"))
meta(as.POSIXct("2019-02-01 10:59:59", tz = "CET"), optimize = FALSE)
meta(as.Date("2019-02-01"))
meta(as.Date("2019-02-01"), optimize = FALSE)

Print method for git2rdata objects.

Description

Prints the data and the description of the columns when available.

Usage

## S3 method for class 'git2rdata'
print(x, ...)

Arguments

x

a git2rdata object
...

additional arguments passed to print

See Also

Other internal: is_git2rdata(), is_git2rmeta(), meta(), summary.git2rdata(), upgrade_data()

Prune Metadata Files

Description

Removes all valid metadata (.yml files) from the path when they don't have accompanying data (.tsv file). Invalid metadata triggers a warning without removing the metadata file.

Use this function with caution since it will remove all valid metadata files without asking for confirmation. We strongly recommend to use this function on files under version control. See vignette("workflow", package = "git2rdata") for some examples on how to use this.

Usage

prune_meta(root = ".", path = NULL, recursive = TRUE, ...)

## S3 method for class 'git_repository'
prune_meta(root, path = NULL, recursive = TRUE, ..., stage = FALSE)

Arguments

root

The root of a project. Can be a file path or a git-repository. Defaults to the current working directory (".").
path

the directory in which to clean all the data files. The directory is relative to root.
recursive

remove files in subdirectories too.
...

parameters used in some methods
stage

stage the changes after removing the files. Defaults to FALSE.

Value

returns invisibly a vector of removed files names. The paths are relative to root.

See Also

Other storage: display_metadata(), list_data(), read_vc(), relabel(), rename_variable(), rm_data(), update_metadata(), verify_vc(), write_vc()

Examples

## on file system

# create a directory
root <- tempfile("git2rdata-")
dir.create(root)

# store a dataframe as git2rdata object. Capture the result to minimise
# screen output
junk <- write_vc(iris[1:6, ], "iris", root, sorting = "Sepal.Length")
# write a standard tab separate file (non git2rdata object)
write.table(iris, file = file.path(root, "standard.tsv"), sep = "\t")
# write a YAML file
yml <- list(
  authors = list(
   "Research Institute for Nature and Forest" = list(
       href = "https://www.inbo.be/en")))
yaml::write_yaml(yml, file = file.path(root, "_pkgdown.yml"))

# list the git2rdata objects
list_data(root)
# list the files
list.files(root, recursive = TRUE)

# remove all .tsv files from valid git2rdata objects
rm_data(root, path = ".")
# check the removal of the .tsv file
list.files(root, recursive = TRUE)
list_data(root)

# remove dangling git2rdata metadata files
prune_meta(root, path = ".")
# check the removal of the metadata
list.files(root, recursive = TRUE)
list_data(root)


## on git repo

# initialise a git repo using git2r
repo_path <- tempfile("git2rdata-repo-")
dir.create(repo_path)
repo <- git2r::init(repo_path)
git2r::config(repo, user.name = "Alice", user.email = "[email protected]")

# store a dataframe
write_vc(iris[1:6, ], "iris", repo, sorting = "Sepal.Length", stage = TRUE)
# check that the dataframe is stored
status(repo)
list_data(repo)

# commit the current version and check the git repo
commit(repo, "add iris data", session = TRUE)
status(repo)

# remove the data files from the repo
rm_data(repo, path = ".")
# check the removal
list_data(repo)
status(repo)

# remove dangling metadata
prune_meta(repo, path = ".")
# check the removal
list_data(repo)
status(repo)

Re-exported Function From git2r

Description

See pull in git2r.

See Also

Other version_control: commit(), push(), recent_commit(), repository(), status()

Re-exported Function From git2r

Description

See push in git2r.

See Also

Other version_control: commit(), pull(), recent_commit(), repository(), status()

Read a Git2rdata Object from Disk

Description

read_vc() handles git2rdata objects stored by write_vc(). It reads and verifies the metadata file (.yml). Then it reads and verifies the raw data. The last step is back-transforming any transformation done by meta() to return the data.frame as stored by write_vc().

read_vc() is an S3 generic on root which currently handles "character" (a path) and "git-repository" (from git2r). S3 methods for other version control system could be added.

Usage

read_vc(file, root = ".")

Arguments

file

the name of the git2rdata object. Git2rdata objects cannot have dots in their name. The name may include a relative path. file is a path relative to the root. Note that file must point to a location within root.
root

The root of a project. Can be a file path or a git-repository. Defaults to the current working directory (".").

Value

The data.frame with the file names and hashes as attributes. It has the additional class "git2rdata" to support extra methods to display the descriptions.

See Also

Other storage: display_metadata(), list_data(), prune_meta(), relabel(), rename_variable(), rm_data(), update_metadata(), verify_vc(), write_vc()

Examples

## on file system

# create a directory
root <- tempfile("git2rdata-")
dir.create(root)

# write a dataframe to the directory
write_vc(iris[1:6, ], file = "iris", root = root, sorting = "Sepal.Length")
# check that a data file (.tsv) and a metadata file (.yml) exist.
list.files(root, recursive = TRUE)
# read the git2rdata object from the directory
read_vc("iris", root)

# store a new version with different observations but the same metadata
write_vc(iris[1:5, ], "iris", root)
list.files(root, recursive = TRUE)
# Removing a column requires version requires new metadata.
# Add strict = FALSE to override the existing metadata.
write_vc(
  iris[1:6, -2], "iris", root, sorting = "Sepal.Length", strict = FALSE
)
list.files(root, recursive = TRUE)
# storing the orignal version again requires another update of the metadata
write_vc(iris[1:6, ], "iris", root, sorting = "Sepal.Width", strict = FALSE)
list.files(root, recursive = TRUE)
# optimize = FALSE stores the data more verbose. This requires larger files.
write_vc(
  iris[1:6, ], "iris2", root, sorting = "Sepal.Width", optimize = FALSE
)
list.files(root, recursive = TRUE)



## on git repo using a git2r::git-repository

# initialise a git repo using the git2r package
repo_path <- tempfile("git2rdata-repo-")
dir.create(repo_path)
repo <- git2r::init(repo_path)
git2r::config(repo, user.name = "Alice", user.email = "[email protected]")

# store a dataframe in git repo.
write_vc(iris[1:6, ], file = "iris", root = repo, sorting = "Sepal.Length")
# This git2rdata object is not staged by default.
status(repo)
# read a dataframe from a git repo
read_vc("iris", repo)

# store a new version in the git repo and stage it in one go
write_vc(iris[1:5, ], "iris", repo, stage = TRUE)
status(repo)

# store a verbose version in a different gir2data object
write_vc(
  iris[1:6, ], "iris2", repo, sorting = "Sepal.Width", optimize = FALSE
)
status(repo)

Retrieve the Most Recent File Change

Description

Retrieve the most recent commit that added or updated a file or git2rdata object. This does not imply that file still exists at the current HEAD as it ignores the deletion of files.

Use this information to document the current version of file or git2rdata object in an analysis. Since it refers to the most recent change of this file, it remains unchanged by committing changes to other files. You can also use it to track if data got updated, requiring an analysis to be rerun. See vignette("workflow", package = "git2rdata").

Usage

recent_commit(file, root, data = FALSE)

Arguments

file

the name of the git2rdata object. Git2rdata objects cannot have dots in their name. The name may include a relative path. file is a path relative to the root. Note that file must point to a location within root.
root

The root of a project. Can be a file path or a git-repository.
data

does file refers to a data object (TRUE) or to a file (FALSE)? Defaults to FALSE.

Value

a data.frame with commit, author and when for the most recent commit that adds op updates the file.

See Also

Other version_control: commit(), pull(), push(), repository(), status()

Examples

# initialise a git repo using git2r
repo_path <- tempfile("git2rdata-repo")
dir.create(repo_path)
repo <- git2r::init(repo_path)
git2r::config(repo, user.name = "Alice", user.email = "[email protected]")

# write and commit a first dataframe
# store the output of write_vc() minimize screen output
junk <- write_vc(iris[1:6, ], "iris", repo, sorting = "Sepal.Length",
                 stage = TRUE)
commit(repo, "important analysis", session = TRUE)
list.files(repo_path)
Sys.sleep(1.1) # required because git doesn't handle subsecond timings

# write and commit a second dataframe
junk <- write_vc(iris[7:12, ], "iris2", repo, sorting = "Sepal.Length",
                 stage = TRUE)
commit(repo, "important analysis", session = TRUE)
list.files(repo_path)
Sys.sleep(1.1) # required because git doesn't handle subsecond timings

# write and commit a new version of the first dataframe
junk <- write_vc(iris[7:12, ], "iris", repo, stage = TRUE)
list.files(repo_path)
commit(repo, "important analysis", session = TRUE)



# find out in which commit a file was last changed

# "iris.tsv" was last updated in the third commit
recent_commit("iris.tsv", repo)
# "iris.yml" was last updated in the first commit
recent_commit("iris.yml", repo)
# "iris2.yml" was last updated in the second commit
recent_commit("iris2.yml", repo)
# the git2rdata object "iris" was last updated in the third commit
recent_commit("iris", repo, data = TRUE)

# remove a dataframe and commit it to see what happens with deleted files
file.remove(file.path(repo_path, "iris.tsv"))
prune_meta(repo, ".")
commit(repo, message = "remove iris", all = TRUE, session = TRUE)
list.files(repo_path)

# still points to the third commit as this is the latest commit in which the
# data was present
recent_commit("iris", repo, data = TRUE)

Relabel Factor Levels by Updating the Metadata

Description

Imagine the situation where we have a dataframe with a factor variable and we have stored it with write_vc(optimize = TRUE). The raw data file contains the factor indices and the metadata contains the link between the factor index and the corresponding label. See vignette("version_control", package = "git2rdata"). In such a case, relabelling a factor can be fast and lightweight by updating the metadata.

Usage

relabel(file, root = ".", change)

Arguments

file

the name of the git2rdata object. Git2rdata objects cannot have dots in their name. The name may include a relative path. file is a path relative to the root. Note that file must point to a location within root.
root

The root of a project. Can be a file path or a git-repository. Defaults to the current working directory (".").
change

either a list or a data.frame. In case of a list is a named list with named vectors. The names of list elements must match the names of the variables. The names of the vector elements must match the existing factor labels. The values represent the new factor labels. In case of a data.frame it needs to have the variables factor (name of the factor), old (the old) factor label and new (the new factor label). relabel() ignores all other columns.

Value

invisible NULL.

See Also

Other storage: display_metadata(), list_data(), prune_meta(), read_vc(), rename_variable(), rm_data(), update_metadata(), verify_vc(), write_vc()

Examples

# initialise a git repo using git2r
repo_path <- tempfile("git2rdata-repo-")
dir.create(repo_path)
repo <- git2r::init(repo_path)
git2r::config(repo, user.name = "Alice", user.email = "[email protected]")

# Create a dataframe and store it as an optimized git2rdata object.
# Note that write_vc() uses optimization by default.
# Stage and commit the git2rdata object.
ds <- data.frame(
  a = c("a1", "a2"),
  b = c("b2", "b1"),
  stringsAsFactors = TRUE
)
junk <- write_vc(ds, "relabel", repo, sorting = "b", stage = TRUE)
cm <- commit(repo, "initial commit")
# check that the workspace is clean
status(repo)

# Define new labels as a list and apply them to the git2rdata object.
new_labels <- list(
  a = list(a2 = "a3")
)
relabel("relabel", repo, new_labels)
# check the changes
read_vc("relabel", repo)
# relabel() changed the metadata, not the raw data
status(repo)
git2r::add(repo, "relabel.*")
cm <- commit(repo, "relabel using a list")

# Define new labels as a dataframe and apply them to the git2rdata object
change <- data.frame(
  factor = c("a", "a", "b"),
  old = c("a3", "a1", "b2"),
  new = c("c2", "c1", "b3"),
  stringsAsFactors = TRUE
)
relabel("relabel", repo, change)
# check the changes
read_vc("relabel", repo)
# relabel() changed the metadata, not the raw data
status(repo)

Rename a Variable

Description

The raw data file contains a header with the variable names. The metadata list the variable names and their type. Changing a variable name and overwriting the git2rdata object with result in an error. Because it will look like removing an existing variable and adding a new one. Overwriting the object with strict = FALSE potentially changes the order of the variables, leading to a large diff.

Usage

rename_variable(file, change, root = ".", ...)

## S3 method for class 'character'
rename_variable(file, change, root = ".", ...)

## Default S3 method:
rename_variable(file, change, root, ...)

## S3 method for class 'git_repository'
rename_variable(file, change, root, ..., stage = FALSE, force = FALSE)

Arguments

file

the name of the git2rdata object. Git2rdata objects cannot have dots in their name. The name may include a relative path. file is a path relative to the root. Note that file must point to a location within root.
change

A named vector with the old names as values and the new names as names.
root

The root of a project. Can be a file path or a git-repository. Defaults to the current working directory (".").
...

parameters used in some methods
stage

Logical value indicating whether to stage the changes after writing the data. Defaults to FALSE.
force

Add ignored files. Default is FALSE.

Details

This function solves this by only updating the raw data header and the metadata.

Value

invisible NULL.

See Also

Other storage: display_metadata(), list_data(), prune_meta(), read_vc(), relabel(), rm_data(), update_metadata(), verify_vc(), write_vc()

Examples

# initialise a git repo using git2r
repo_path <- tempfile("git2rdata-repo-")
dir.create(repo_path)
repo <- git2r::init(repo_path)
git2r::config(repo, user.name = "Alice", user.email = "[email protected]")

# Create a dataframe and store it as an optimized git2rdata object.
# Note that write_vc() uses optimization by default.
# Stage and commit the git2rdata object.
ds <- data.frame(
  a = c("a1", "a2"),
  b = c("b2", "b1"),
  stringsAsFactors = TRUE
)
junk <- write_vc(ds, "rename", repo, sorting = "b", stage = TRUE)
cm <- commit(repo, "initial commit")
# check that the workspace is clean
status(repo)

# Define change.
change <- c(new_name = "a")
rename_variable(file = "rename", change = change, root = repo)
# check the changes
read_vc("rename", repo)
status(repo)

Re-exported Function From git2r

Description

See repository in git2r.

See Also

Other version_control: commit(), pull(), push(), recent_commit(), status()

Remove Data Files From Git2rdata Objects

Description

Remove the data (.tsv) file from all valid git2rdata objects at the path. The metadata remains untouched. A warning lists any git2rdata object with invalid metadata. The function keeps any .tsv file with invalid metadata or from non-git2rdata objects.

Use this function with caution since it will remove all valid data files without asking for confirmation. We strongly recommend to use this function on files under version control. See vignette("workflow", package = "git2rdata") for some examples on how to use this.

Usage

rm_data(root = ".", path = NULL, recursive = TRUE, ...)

## S3 method for class 'git_repository'
rm_data(
  root,
  path = NULL,
  recursive = TRUE,
  ...,
  stage = FALSE,
  type = c("unmodified", "modified", "ignored", "all")
)

Arguments

root

The root of a project. Can be a file path or a git-repository. Defaults to the current working directory (".").
path

the directory in which to clean all the data files. The directory is relative to root.
recursive

remove files in subdirectories too.
...

parameters used in some methods
stage

stage the changes after removing the files. Defaults to FALSE.
type

Defines the classes of files to remove. unmodified are files in the git history and unchanged since the last commit. modified are files in the git history and changed since the last commit. ignored refers to file listed in a .gitignore file. Selecting modified will remove both unmodified and modified data files. Selecting ìgnored will remove unmodified, modified and ignored data files. all refers to all visible data files, including untracked files.

Value

returns invisibly a vector of removed files names. The paths are relative to root.

See Also

Other storage: display_metadata(), list_data(), prune_meta(), read_vc(), relabel(), rename_variable(), update_metadata(), verify_vc(), write_vc()

Examples

## on file system

# create a directory
root <- tempfile("git2rdata-")
dir.create(root)

# store a dataframe as git2rdata object. Capture the result to minimise
# screen output
junk <- write_vc(iris[1:6, ], "iris", root, sorting = "Sepal.Length")
# write a standard tab separate file (non git2rdata object)
write.table(iris, file = file.path(root, "standard.tsv"), sep = "\t")
# write a YAML file
yml <- list(
  authors = list(
   "Research Institute for Nature and Forest" = list(
       href = "https://www.inbo.be/en")))
yaml::write_yaml(yml, file = file.path(root, "_pkgdown.yml"))

# list the git2rdata objects
list_data(root)
# list the files
list.files(root, recursive = TRUE)

# remove all .tsv files from valid git2rdata objects
rm_data(root, path = ".")
# check the removal of the .tsv file
list.files(root, recursive = TRUE)
list_data(root)

# remove dangling git2rdata metadata files
prune_meta(root, path = ".")
# check the removal of the metadata
list.files(root, recursive = TRUE)
list_data(root)


## on git repo

# initialise a git repo using git2r
repo_path <- tempfile("git2rdata-repo-")
dir.create(repo_path)
repo <- git2r::init(repo_path)
git2r::config(repo, user.name = "Alice", user.email = "[email protected]")

# store a dataframe
write_vc(iris[1:6, ], "iris", repo, sorting = "Sepal.Length", stage = TRUE)
# check that the dataframe is stored
status(repo)
list_data(repo)

# commit the current version and check the git repo
commit(repo, "add iris data", session = TRUE)
status(repo)

# remove the data files from the repo
rm_data(repo, path = ".")
# check the removal
list_data(repo)
status(repo)

# remove dangling metadata
prune_meta(repo, path = ".")
# check the removal
list_data(repo)
status(repo)

Re-exported Function From git2r

Description

See status in git2r.

See Also

Other version_control: commit(), pull(), push(), recent_commit(), repository()

Summary method for git2rdata objects.

Description

Prints the summary of the data and the description of the columns when available.

Usage

## S3 method for class 'git2rdata'
summary(object, ...)

Arguments

object

a git2rdata object
...

additional arguments passed to summary

See Also

Other internal: is_git2rdata(), is_git2rmeta(), meta(), print.git2rdata(), upgrade_data()

Update the description of a git2rdata object

Description

Allows to update the description of the fields, the table name, the title, and the description of a git2rdata object. All arguments are optional. Setting an argument to NA or an empty string will remove the corresponding field from the metadata.

Usage

update_metadata(file, root = ".", field_description, name, title, description)

Arguments

file

the name of the git2rdata object. Git2rdata objects cannot have dots in their name. The name may include a relative path. file is a path relative to the root. Note that file must point to a location within root.
root

The root of a project. Can be a file path or a git-repository. Defaults to the current working directory (".").
field_description

a named character vector with the new descriptions for the fields. The names of the vector must match the variable names.
name

a character string with the new table name of the object.
title

a character string with the new title of the object.
description

a character string with the new description of the object.

See Also

Other storage: display_metadata(), list_data(), prune_meta(), read_vc(), relabel(), rename_variable(), rm_data(), verify_vc(), write_vc()

Upgrade Files to the New Version

Description

Updates the data written by older versions to the current data format standard. Works both on a single file and (recursively) on a path. The ".yml" file must contain a "..generic" element. upgrade_data() ignores all other files.

Usage

upgrade_data(file, root = ".", verbose, ..., path)

## S3 method for class 'git_repository'
upgrade_data(
  file,
  root = ".",
  verbose = TRUE,
  ...,
  path,
  stage = FALSE,
  force = FALSE
)

Arguments

file

the name of the git2rdata object. Git2rdata objects cannot have dots in their name. The name may include a relative path. file is a path relative to the root. Note that file must point to a location within root.
root

The root of a project. Can be a file path or a git-repository. Defaults to the current working directory (".").
verbose

display a message with the update status. Defaults to TRUE.
...

parameters used in some methods
path

specify path instead of file to update all git2rdata objects in this directory and it's subdirectories. path is relative to root. Use path = "." to upgrade all git2rdata objects under root.
stage

Logical value indicating whether to stage the changes after writing the data. Defaults to FALSE.
force

Add ignored files. Default is FALSE.

Value

the git2rdata object names.

See Also

Other internal: is_git2rdata(), is_git2rmeta(), meta(), print.git2rdata(), summary.git2rdata()

Examples

# create a directory
root <- tempfile("git2rdata-")
dir.create(root)

# write dataframes to the root
write_vc(iris[1:6, ], file = "iris", root = root, sorting = "Sepal.Length")
write_vc(iris[5:10, ], file = "subdir/iris", root = root,
         sorting = "Sepal.Length")
# upgrade a single git2rdata object
upgrade_data(file = "iris", root = root)
# use path = "." to upgrade all git2rdata objects under root
upgrade_data(path = ".", root = root)

Read a file an verify the presence of variables

Description

Reads the file with read_vc(). Then verifies that every variable listed in variables is present in the data.frame.

Usage

verify_vc(file, root, variables)

Arguments

file

the name of the git2rdata object. Git2rdata objects cannot have dots in their name. The name may include a relative path. file is a path relative to the root. Note that file must point to a location within root.
root

The root of a project. Can be a file path or a git-repository. Defaults to the current working directory (".").
variables

a character vector with variable names.

See Also

Other storage: display_metadata(), list_data(), prune_meta(), read_vc(), relabel(), rename_variable(), rm_data(), update_metadata(), write_vc()

Store a Data.Frame as a Git2rdata Object on Disk

Description

A git2rdata object consists of two files. The ".tsv" file contains the raw data as a plain text tab separated file. The ".yml" contains the metadata on the columns in plain text YAML format. See vignette("plain text", package = "git2rdata") for more details on the implementation.

Usage

write_vc(
  x,
  file,
  root = ".",
  sorting,
  strict = TRUE,
  optimize = TRUE,
  na = "NA",
  ...,
  split_by
)

## S3 method for class 'character'
write_vc(
  x,
  file,
  root = ".",
  sorting,
  strict = TRUE,
  optimize = TRUE,
  na = "NA",
  ...,
  split_by = character(0)
)

## S3 method for class 'git_repository'
write_vc(
  x,
  file,
  root,
  sorting,
  strict = TRUE,
  optimize = TRUE,
  na = "NA",
  ...,
  stage = FALSE,
  force = FALSE
)

Arguments

x

the data.frame.
file

the name of the git2rdata object. Git2rdata objects cannot have dots in their name. The name may include a relative path. file is a path relative to the root. Note that file must point to a location within root.
root

The root of a project. Can be a file path or a git-repository. Defaults to the current working directory (".").
sorting

an optional vector of column names defining which columns to use for sorting x and in what order to use them. The default empty sorting yields a warning. Add sorting to avoid this warning. Strongly recommended in combination with version control. See vignette("efficiency", package = "git2rdata") for an illustration of the importance of sorting.
strict

What to do when the metadata changes. strict = FALSE overwrites the data and the metadata with a warning listing the changes, strict = TRUE returns an error and leaves the data and metadata as is. Defaults to TRUE.
optimize

If TRUE, recode the data to get smaller text files. If FALSE, meta() converts the data to character. Defaults to TRUE.
na

the string to use for missing values in the data.
...

parameters used in some methods
split_by

An optional vector of variables name to split the text files. This creates a separate file for every combination. We prepend these variables to the vector of sorting variables.
stage

Logical value indicating whether to stage the changes after writing the data. Defaults to FALSE.
force

Add ignored files. Default is FALSE.

Value

a named vector with the file paths relative to root. The names contain the hashes of the files.

Note

..generic is a reserved name for the metadata and is a forbidden column name in a data.frame.

See Also

Other storage: display_metadata(), list_data(), prune_meta(), read_vc(), relabel(), rename_variable(), rm_data(), update_metadata(), verify_vc()

Examples

## on file system

# create a directory
root <- tempfile("git2rdata-")
dir.create(root)

# write a dataframe to the directory
write_vc(iris[1:6, ], file = "iris", root = root, sorting = "Sepal.Length")
# check that a data file (.tsv) and a metadata file (.yml) exist.
list.files(root, recursive = TRUE)
# read the git2rdata object from the directory
read_vc("iris", root)

# store a new version with different observations but the same metadata
write_vc(iris[1:5, ], "iris", root)
list.files(root, recursive = TRUE)
# Removing a column requires version requires new metadata.
# Add strict = FALSE to override the existing metadata.
write_vc(
  iris[1:6, -2], "iris", root, sorting = "Sepal.Length", strict = FALSE
)
list.files(root, recursive = TRUE)
# storing the orignal version again requires another update of the metadata
write_vc(iris[1:6, ], "iris", root, sorting = "Sepal.Width", strict = FALSE)
list.files(root, recursive = TRUE)
# optimize = FALSE stores the data more verbose. This requires larger files.
write_vc(
  iris[1:6, ], "iris2", root, sorting = "Sepal.Width", optimize = FALSE
)
list.files(root, recursive = TRUE)



## on git repo using a git2r::git-repository

# initialise a git repo using the git2r package
repo_path <- tempfile("git2rdata-repo-")
dir.create(repo_path)
repo <- git2r::init(repo_path)
git2r::config(repo, user.name = "Alice", user.email = "[email protected]")

# store a dataframe in git repo.
write_vc(iris[1:6, ], file = "iris", root = repo, sorting = "Sepal.Length")
# This git2rdata object is not staged by default.
status(repo)
# read a dataframe from a git repo
read_vc("iris", repo)

# store a new version in the git repo and stage it in one go
write_vc(iris[1:5, ], "iris", repo, stage = TRUE)
status(repo)

# store a verbose version in a different gir2data object
write_vc(
  iris[1:6, ], "iris2", repo, sorting = "Sepal.Width", optimize = FALSE
)
status(repo)