Parents (Total: 17)

The searched file hash is included in 17 parent files which include package known and seen by metalookup. A sample is included below:

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	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	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

Key	Value
MD5	0D48F2A2F81C7FB88896A574183AFA91
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	lp152.1.3
PackageVersion	1.1.4
SHA-1	45030E9505BF9B53ECA17707F2B6C39683C1F420
SHA-256	8F8F129587EC198959E4B3560BF974D6A099837CA9CB5A04BEBFF15D1B16BCFB

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	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	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	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	3A539C95D7374E99B516A1F8903DDD16
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	lp153.1.3
PackageVersion	1.1.4
SHA-1	A55A21AA70F53769CAD03E9F90645E0553C22447
SHA-256	30AABB46662C3F1618A26C729F8C2510835F4ED034E54AF4B2EFBB86CC7486DD

Key	Value
MD5	AEC556C24C6E31528B6D65236FD1C504
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	1.8
PackageVersion	1.1.4
SHA-1	A72ACE17D8936FED86DF9617BDCC92ED4C88A0DD
SHA-256	CEEC9EB3E8088F0ADE36EE6E4223F1EDCE082F0BC912615AB8D074A2B08A1E82