Key | Value |
---|---|
FileName | ./usr/lib64/R/library/tidyr/Meta/package.rds |
FileSize | 1569 |
MD5 | 14105CDB5601FFAD35D636CDB44D2AE8 |
SHA-1 | 12594C11E192EF05809972FAAE97674753338263 |
SHA-256 | D8CBD7FC7B7214D9847A60830F1CCE84339325D32A0E0E5785EA53A6BBF30C99 |
SSDEEP | 24:Xb9IS3ybrRVR8T1pxkqSlWqOhXMsjpmrMrmWe4OIYYGviN96FWdbKCkmrwRle:Xb9XySnxkT4wsVm6je4OI14i2YImk6 |
TLSH | T161312A46489082BB8820F7F7D4D4D13C2321B842D6D2D29C14ECC8A399D83940AF8331 |
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 | CA57116C07431A447B10F340B9B71EE4 |
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 | 1.6 |
PackageVersion | 1.1.0 |
SHA-1 | D5E186C2D44EAC6AF3CEE6B59D037350278172D9 |
SHA-256 | 0CC3A52090783AE1EF5CA71B079742EB05AE986A52C97990877F27F71C661ADD |