Key | Value |
---|---|
FileName | ./usr/lib64/R/library/tidyr/Meta/package.rds |
FileSize | 1604 |
MD5 | 32355DF94C84E96F527EC3EB4B6AE786 |
SHA-1 | 220349E63D7688ED98B1E210FB4AF91B8D7ED580 |
SHA-256 | 755917B0F9203F7D6AA942B032D471D3267D726C983F068D52A68683EC933529 |
SSDEEP | 48:XqIzPVtIECrzSX2r0hVnOXF4I9gnBcLBdmtX:60YtSZ7n4F4I9W0dmtX |
TLSH | T13D31EA62021F158545FC20C3BCB806FC95BD7EB847ACD6B5A5032903917B44A9B73DC5 |
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 | 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 |