Parents (Total: 14)

The searched file hash is included in 14 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	B09E03380D8421D40E52C375C812E0BC
PackageArch	x86_64
PackageDescription	Tools to help to create tidy data, where each column is a variable, each row is an observation, and each cell contains a single value. 'tidyr' contains tools for changing the shape (pivoting) and hierarchy (nesting and 'unnesting') of a dataset, turning deeply nested lists into rectangular data frames ('rectangling'), and extracting values out of string columns. It also includes tools for working with missing values (both implicit and explicit).
PackageName	R-tidyr
PackageRelease	1.26
PackageVersion	1.1.0
SHA-1	1CB2B73F900812928BA88B79F8FC921FA7B70CDF
SHA-256	03C35C4A2C2F99BDD8A53EEF9620F5A4163F87B11C3CC9DBF9EBDB39F466781A

Key	Value
MD5	E5F9BF9C13A5412F5A133F3CC44B7DAB
PackageArch	x86_64
PackageDescription	Tools to help to create tidy data, where each column is a variable, each row is an observation, and each cell contains a single value. 'tidyr' contains tools for changing the shape (pivoting) and hierarchy (nesting and 'unnesting') of a dataset, turning deeply nested lists into rectangular data frames ('rectangling'), and extracting values out of string columns. It also includes tools for working with missing values (both implicit and explicit).
PackageName	R-tidyr
PackageRelease	1.50
PackageVersion	1.1.0
SHA-1	0292F2647E76B75C8F0DD1FFA800E1F7304DFB6E
SHA-256	774F6EF52513129E5873457A9F5B0BF43C0C61848858A4A6C5BC15243AC4E4FF

Key	Value
MD5	572790B12410B744E49DAD4C01D58F1D
PackageArch	x86_64
PackageDescription	Tools to help to create tidy data, where each column is a variable, each row is an observation, and each cell contains a single value. 'tidyr' contains tools for changing the shape (pivoting) and hierarchy (nesting and 'unnesting') of a dataset, turning deeply nested lists into rectangular data frames ('rectangling'), and extracting values out of string columns. It also includes tools for working with missing values (both implicit and explicit).
PackageName	R-tidyr
PackageRelease	1.48
PackageVersion	1.1.0
SHA-1	EB8DB0B3A27784EC006099D2216F7B4C59B4D6C2
SHA-256	B55CA0EC6B857B09EA01B688514A737653F7FDE18EAACF0318E7B297F0E18657

Key	Value
FileSize	753192
MD5	6B6A2C3A7179258BDD161D2B726DCE76
PackageDescription	GNU R package to easily tidy data GNU R package to easily tidy data with 'spread()' and 'gather()' functions. . An evolution of 'reshape2'. It's designed specifically for data tidying (not general reshaping or aggregating) and works well with 'dplyr' data pipelines.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	r-cran-tidyr
PackageSection	gnu-r
PackageVersion	1.1.0-1
SHA-1	8EF6CFA67AF00019EED7723751CCE93C63E3AEC8
SHA-256	20E0E304985756152365F54E66904B7FDB0A9AC9E0ADF6A576183ECB01B78F9E

Key	Value
MD5	17A770EA700E45CBF292D9B1DF1DE264
PackageArch	x86_64
PackageDescription	Tools to help to create tidy data, where each column is a variable, each row is an observation, and each cell contains a single value. 'tidyr' contains tools for changing the shape (pivoting) and hierarchy (nesting and 'unnesting') of a dataset, turning deeply nested lists into rectangular data frames ('rectangling'), and extracting values out of string columns. It also includes tools for working with missing values (both implicit and explicit).
PackageName	R-tidyr
PackageRelease	1.26
PackageVersion	1.1.0
SHA-1	9531AA0FFBD2828A5B0A3CD2A3F577729E560A06
SHA-256	1A5E014E72ECA2D07377B3043B127E5B9486EB9680E9EC06ECFC10950F4C34BE

Key	Value
MD5	A0EC689A7D2789356D137EECF45A0447
PackageArch	x86_64
PackageDescription	Tools to help to create tidy data, where each column is a variable, each row is an observation, and each cell contains a single value. 'tidyr' contains tools for changing the shape (pivoting) and hierarchy (nesting and 'unnesting') of a dataset, turning deeply nested lists into rectangular data frames ('rectangling'), and extracting values out of string columns. It also includes tools for working with missing values (both implicit and explicit).
PackageName	R-tidyr
PackageRelease	1.20
PackageVersion	1.1.0
SHA-1	B2D62C26E1D96BF45C4A5715CA524CD6E43CB6DC
SHA-256	716A23B0293ABD96711804937F5BDDD9CE39E7DA0950156712EDFC1457EBC482

Key	Value
MD5	76456CF2568B0A8B7E9E3052FC0E8873
PackageArch	i586
PackageDescription	Tools to help to create tidy data, where each column is a variable, each row is an observation, and each cell contains a single value. 'tidyr' contains tools for changing the shape (pivoting) and hierarchy (nesting and 'unnesting') of a dataset, turning deeply nested lists into rectangular data frames ('rectangling'), and extracting values out of string columns. It also includes tools for working with missing values (both implicit and explicit).
PackageName	R-tidyr
PackageRelease	1.50
PackageVersion	1.1.0
SHA-1	8431F3F0DE2613FE7481294478B2DA27E21ED306
SHA-256	B6A461440727CE484E0B59A09664C6FACDE0276916F571BA919C6DF5AE5300FE

Key	Value
MD5	CE9DFE7EB1279F496AD1D6409031101D
PackageArch	x86_64
PackageDescription	Tools to help to create tidy data, where each column is a variable, each row is an observation, and each cell contains a single value. 'tidyr' contains tools for changing the shape (pivoting) and hierarchy (nesting and 'unnesting') of a dataset, turning deeply nested lists into rectangular data frames ('rectangling'), and extracting values out of string columns. It also includes tools for working with missing values (both implicit and explicit).
PackageName	R-tidyr
PackageRelease	lp152.1.10
PackageVersion	1.1.0
SHA-1	B556CEC66F3E010D0C09279C61C2E9B4E3E1A793
SHA-256	4B0F25E03F440A8EC46B6CFB77F4AAA537ACEA0D05D28CAFC9B3DCCFA78F3B01

Key	Value
MD5	F075059904438F36E808828A1FCEAE04
PackageArch	i586
PackageDescription	Tools to help to create tidy data, where each column is a variable, each row is an observation, and each cell contains a single value. 'tidyr' contains tools for changing the shape (pivoting) and hierarchy (nesting and 'unnesting') of a dataset, turning deeply nested lists into rectangular data frames ('rectangling'), and extracting values out of string columns. It also includes tools for working with missing values (both implicit and explicit).
PackageName	R-tidyr
PackageRelease	1.48
PackageVersion	1.1.0
SHA-1	E4D15983BE3F724B8A4B7A022D677FCA9B1DCDC9
SHA-256	36AF0A6BEE16523EBA2A4DCE6735B1F0F45D6325067B0F316B89B3FA5A8ED729

Key	Value
MD5	B5EA75EF69CD9C389159438F125B4BFD
PackageArch	x86_64
PackageDescription	Tools to help to create tidy data, where each column is a variable, each row is an observation, and each cell contains a single value. 'tidyr' contains tools for changing the shape (pivoting) and hierarchy (nesting and 'unnesting') of a dataset, turning deeply nested lists into rectangular data frames ('rectangling'), and extracting values out of string columns. It also includes tools for working with missing values (both implicit and explicit).
PackageName	R-tidyr
PackageRelease	lp150.1.11
PackageVersion	1.1.0
SHA-1	F6773A13B33668F97AC929DBBC6BBD8DC16B5760
SHA-256	F6F01755BA26221C9CD2547478F7869B98FCB7E8ABE0F345F55031E1196B2E91

Key	Value
MD5	FD704C74B25058204BB42AC056384856
PackageArch	armv7hl
PackageDescription	Tools to help to create tidy data, where each column is a variable, each row is an observation, and each cell contains a single value. 'tidyr' contains tools for changing the shape (pivoting) and hierarchy (nesting and 'unnesting') of a dataset, turning deeply nested lists into rectangular data frames ('rectangling'), and extracting values out of string columns. It also includes tools for working with missing values (both implicit and explicit).
PackageName	R-tidyr
PackageRelease	1.43
PackageVersion	1.1.0
SHA-1	4DE9F55CFDAC6C45975E2D231B2BCB576E26270C
SHA-256	9DE723426F59C5E062863F2CD3A46884F9FC554407BB189DB92B5FF9692C0936

Key	Value
MD5	CA57116C07431A447B10F340B9B71EE4
PackageArch	x86_64
PackageDescription	Tools to help to create tidy data, where each column is a variable, each row is an observation, and each cell contains a single value. 'tidyr' contains tools for changing the shape (pivoting) and hierarchy (nesting and 'unnesting') of a dataset, turning deeply nested lists into rectangular data frames ('rectangling'), and extracting values out of string columns. It also includes tools for working with missing values (both implicit and explicit).
PackageName	R-tidyr
PackageRelease	1.6
PackageVersion	1.1.0
SHA-1	D5E186C2D44EAC6AF3CEE6B59D037350278172D9
SHA-256	0CC3A52090783AE1EF5CA71B079742EB05AE986A52C97990877F27F71C661ADD

Key	Value
MD5	E0CC620661792342C5984CB4617E6341
PackageArch	x86_64
PackageDescription	Tools to help to create tidy data, where each column is a variable, each row is an observation, and each cell contains a single value. 'tidyr' contains tools for changing the shape (pivoting) and hierarchy (nesting and 'unnesting') of a dataset, turning deeply nested lists into rectangular data frames ('rectangling'), and extracting values out of string columns. It also includes tools for working with missing values (both implicit and explicit).
PackageName	R-tidyr
PackageRelease	lp151.1.26
PackageVersion	1.1.0
SHA-1	92053329B411D3E681A8C1A6A19E22DE99981F5D
SHA-256	7504EDC77E58BC3A57B22C089816660BA07C519EE244A8CE2939A218B7C95973

Key	Value
MD5	340E9589361EF1A1CDAA312BD38F94B7
PackageArch	x86_64
PackageDescription	Tools to help to create tidy data, where each column is a variable, each row is an observation, and each cell contains a single value. 'tidyr' contains tools for changing the shape (pivoting) and hierarchy (nesting and 'unnesting') of a dataset, turning deeply nested lists into rectangular data frames ('rectangling'), and extracting values out of string columns. It also includes tools for working with missing values (both implicit and explicit).
PackageName	R-tidyr
PackageRelease	lp153.1.14
PackageVersion	1.1.0
SHA-1	39FFA30F8F86D4343759896CEAB09F9718A00763
SHA-256	FD5780B2DC354949C41001C8B3A5B1768768DBE9C5F17D7FE2F01BE961A0A248