Key | Value |
---|---|
FileName | ./usr/lib64/R/library/tidyr/Meta/Rd.rds |
FileSize | 1926 |
MD5 | 4E5702C0E8ACB6B6BAF83ED4E1246AA2 |
SHA-1 | 126C8BC6000F28E4ADF84FE30C161D1F2C88324B |
SHA-256 | A6A1F3B12815057329D920ABC8D22B084F38E5EEBA84A78F41CCF757106CEEF9 |
SSDEEP | 48:X6Iz1VuuxmjR5RLtuaABY4XUViTRP7n6DLbUrIAbJP:n6uARfLtuaEwiTcDLbUEYP |
TLSH | T15941190833C6153A8414A4915C6AF382F3F58EE797FFF776F89022DF452A6A8008266D |
hashlookup:parent-total | 4 |
hashlookup:trust | 70 |
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 |
---|---|
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 |
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 | 95292BFF4943C7794B471E38D39F9C5C |
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 | lp154.1.1 |
PackageVersion | 1.1.4 |
SHA-1 | AC5928A8639220B30C083B53041085AA333A94E3 |
SHA-256 | 8F7692B2F1C20235ED6C03671AFFD054A867346A4E10E035A0BCF4C3A41B2503 |
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 |