Key | Value |
---|---|
FileName | ./usr/lib64/R/library/tidyr/R/tidyr.rdb |
FileSize | 143431 |
MD5 | 6EE81EDB1F0400BF35ED9FBBFB86295F |
SHA-1 | 1C9F7FC8528DFBD73BDAE580D23C6E2666D0C6EB |
SHA-256 | 14A9F2D996B4FA77DA3FA3AEB86BBF4540FEE20D0A7DF0D23FE39BB33FBC7755 |
SSDEEP | 3072:zwcwwj+q/4M+ieq3Zif43NlM78RhNm1U8dU/PQzmp2:zwBwj+sleqMAdmgavdUAzmQ |
TLSH | T172E312B74265D9433CB25A80464A1660C1CA9AE6944B4E3BFF3CF5A67B528C4BEF107C |
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 | 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 |