Key | Value |
---|---|
FileName | ./usr/lib/R/library/tidyr/DESCRIPTION |
FileSize | 1755 |
MD5 | 995E631E3228EAFD40CE9B0910DBE6D7 |
SHA-1 | 32A7F152B3F74D70E9288782D29D84374291E8BF |
SHA-256 | A8C60B21B8AF17D30A0F33B8B98A491E4987BD8400D06A5262319CA43EA60829 |
SSDEEP | 48:ozbFjE72LSwnRV3DCGX/S2BXN0jUKKnUDvjn9G3:ozhjEaewRFRR2jSUDvg3 |
TLSH | T101319653BD4011B72786C28468624315EAA9C31FAFE57CBC7E0C17681F0C45DEAF987A |
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 | F075059904438F36E808828A1FCEAE04 |
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 | 1.48 |
PackageVersion | 1.1.0 |
SHA-1 | E4D15983BE3F724B8A4B7A022D677FCA9B1DCDC9 |
SHA-256 | 36AF0A6BEE16523EBA2A4DCE6735B1F0F45D6325067B0F316B89B3FA5A8ED729 |