| Key | Value |
|---|---|
| FileName | ./usr/lib64/R/library/tidyr/Meta/package.rds |
| FileSize | 1567 |
| MD5 | 7F21CFE72ABEF627B7AE228F141EE013 |
| SHA-1 | 3115D05414B44BEC1808197FC5E9257723485F2F |
| SHA-256 | A7AEB530618A8E04C1A7D096175A83695637981655BCAC65C3581FC49278351D |
| SSDEEP | 24:XD26Yyqee6IFKYYuTj+GiNzyXtuFA5fj5aja+wyaeu2WuW1vs4ygVpuNRo0MfCR3:X3q2IAYxCGZ0C5p+wrAWpvZX7+19 |
| TLSH | T1B331E7E61CF72CA37D3F2823813AB055531BF0E48A0177FAC09D8184E4B41A43286F72 |
| hashlookup:parent-total | 1 |
| hashlookup:trust | 55 |
The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:
| 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 |