Result for 1E542222F156CBFC7DCAD5B2593005618178539C

Query result

Key Value
FileName./usr/lib/R/site-library/tidyr/Meta/vignette.rds
FileSize298
MD55ECAE20A28254C881EBCACAEB3DD55ED
SHA-11E542222F156CBFC7DCAD5B2593005618178539C
SHA-2565D0777C1252CA20C4E157BA86E779A2ABFA93EE705CED805FF90CAD1BA726A5B
SSDEEP6:XtZPWeaIXg2oso2Pfeh9U4BQQ0+Szf+dBlfYeW8SU+xtF348evAqnBf/:XPPWe1NooXeRQQ0+95P73+DW8e4qB3
TLSHT1B9E07D13876577627170E92397508097756BC90D7203A91E980AA105778CD8C41E0814
hashlookup:parent-total4
hashlookup:trust70

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Parents (Total: 4)

The searched file hash is included in 4 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD587CF4264679B04E51B4047DA8F34D38B
PackageArchx86_64
PackageDescriptionTools 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).
PackageMaintainerFedora Project
PackageNameR-tidyr
PackageRelease1.fc32
PackageVersion1.0.2
SHA-1EE1FEA16F5FD4981CC27CCA23519575DB05F8814
SHA-256F24B6A298835E6BDB8D9BC581F519A90540AA1AB18A4F6AFE004A729E01267B9
Key Value
MD5E0C8A787227325F3C6D051AA05BD13F9
PackageArchaarch64
PackageDescriptionTools 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).
PackageMaintainerFedora Project
PackageNameR-tidyr
PackageRelease1.fc32
PackageVersion1.0.2
SHA-13E29E8E893B9164EBD4EFADE64FCFED6244F3702
SHA-256C3EB9D015F592AE087D9066C3B71427DAD31F9CA878670779B4A9FA1BDA9AC8A
Key Value
MD5A1B4B6C65687491ACE060AC0E8DD3464
PackageArcharmv7hl
PackageDescriptionTools 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).
PackageMaintainerFedora Project
PackageNameR-tidyr
PackageRelease1.fc32
PackageVersion1.0.2
SHA-177DC5B9C852B18A8FEB82A9F551D558D4405F2E1
SHA-2563E8689608F7E9D5A237F63D40DB3A92C1170672ACDE1D016D65740D07AB2796A
Key Value
FileSize718896
MD5176FB72A0E3A9FD0860F0A6DB8CF13E8
PackageDescriptionGNU 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.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamer-cran-tidyr
PackageSectiongnu-r
PackageVersion1.0.2-1build1
SHA-16134D8C983F89200EE4AC8AF44DD9F718C8E5DF0
SHA-2562BA222ADB9C1D381DDA1CA7771C1C5855568DDB216C1B5323158D268411376EF