Key | Value |
---|---|
FileName | ./usr/lib64/R/library/tidyr/Meta/package.rds |
FileSize | 1569 |
MD5 | ABD6F8AF6991CC7C4E5B5222CE5E5367 |
SHA-1 | 22650FD4CA1EA068AF3B14B287CA51C405901CB5 |
SHA-256 | 86D33C2224D36C7B4E14B45C92B211E6F6E83FF4E5AE2FA0565191B1B812B9B2 |
SSDEEP | 24:XbEK2mbWxx5BSsVk09c43Hrhw/GWHy5sg6trsH97MLxcxaCFdYNOUQvTpdt1oZFX:XbHFWbfSsnF3HGOygZ97M9KYNO/FN1E |
TLSH | T13D310C3198F77C5589546FB75053062D11B5FD62AE48C5A39080D3F4A2E9210725E1FB |
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 | 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 |