Key | Value |
---|---|
FileName | ./usr/lib/R/library/tidyr/R/tidyr.rdb |
FileSize | 144145 |
MD5 | 89D0FB864D1166CDE04735089B7B4F7E |
SHA-1 | 0068342F0C57AE9137D05E4F92F29A996D9A72DF |
SHA-256 | 1DD7153FA78923C123A7BDA1FA7B6973DDAF124F42CCA7CCC493C0D4B6E4600B |
SSDEEP | 3072:ktFTxQHhd89XeQV/XFOPCjYMCNxz9GZjKfkKOrkACVtPEL6pa/:IFTY+X1LdjixkrtrkTsLMM |
TLSH | T1FBE3127B8DA6E243B9A4BD4060204B31DD7DC3A5C811C37DA85DF9A3D60F62A18DEBD4 |
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 | 76456CF2568B0A8B7E9E3052FC0E8873 |
PackageArch | i586 |
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 | 1.50 |
PackageVersion | 1.1.0 |
SHA-1 | 8431F3F0DE2613FE7481294478B2DA27E21ED306 |
SHA-256 | B6A461440727CE484E0B59A09664C6FACDE0276916F571BA919C6DF5AE5300FE |