| Key | Value |
|---|---|
| FileName | ./usr/lib64/R/library/tidyr/Meta/package.rds |
| FileSize | 1602 |
| MD5 | 3F15412E7ACA0E98E6E5F9F659A8DF55 |
| SHA-1 | 343581B09A1E69844D8A55E3FBDBD1946739433B |
| SHA-256 | D363E0F5599269E0901C22365032E969C86B7E3535E3804AEE1EF20F24FFD79A |
| SSDEEP | 48:XH9dVydBGtdhXyhKnrICJrc+ZORDbG6GhoMFZ:N+dBWXy2M2rc+ZUDmKMT |
| TLSH | T12D31E8B0A93E6C48D10F36E3ED9CCACA48CE40AED026E1E4EC3669951C2E155955E276 |
| 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 | 0D48F2A2F81C7FB88896A574183AFA91 |
| 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 | lp152.1.3 |
| PackageVersion | 1.1.4 |
| SHA-1 | 45030E9505BF9B53ECA17707F2B6C39683C1F420 |
| SHA-256 | 8F8F129587EC198959E4B3560BF974D6A099837CA9CB5A04BEBFF15D1B16BCFB |