Key | Value |
---|---|
FileName | ./usr/lib64/R/library/tidyr/R/tidyr.rdb |
FileSize | 144158 |
MD5 | 88CE1116CD3C244AA00DFF95AC02EE8A |
SHA-1 | 0BB81C5D9269F07E97BB23012054CB535E60D9D7 |
SHA-256 | D3DEC63E810481D9C7B6DF8DD49536205B855B45B6C8F1CB7800E506BBAB78C0 |
SSDEEP | 3072:/r6FTxQHhd89XeQV/XFOPCjYMCNxz9GZjKfkKOrkACVtPEL6pa/:/r6FTY+X1LdjixkrtrkTsLMM |
TLSH | T155E312BB4DA2E243BCA87D8061314B31CD7D83A6C814D37D985DE9A3D70B52A48DDBD4 |
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 | E0CC620661792342C5984CB4617E6341 |
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 | lp151.1.26 |
PackageVersion | 1.1.0 |
SHA-1 | 92053329B411D3E681A8C1A6A19E22DE99981F5D |
SHA-256 | 7504EDC77E58BC3A57B22C089816660BA07C519EE244A8CE2939A218B7C95973 |