Adobe.RGB
Theoretical RGB Cameras - BT.709.RGB, Adobe.RGB, and ACES.RGB
Bundled with colorSpec · exported, loads via data()
A single vector with a dim attribute. All elements share one type. R object catalogue
Computed over every cell in the object, reading it as one vector.
The mean of each row, and of each column, summarised. Reading every cell as one vector gives a matrix and its transpose the same answer; these do not.
| Margin | Min. | 1st Qu. | Median | Mean | 3rd Qu. | Max. | Std. dev |
|---|---|---|---|---|---|---|---|
| Rows | 5.9841e-9 | 8.8302e-6 | 0.0012422 | 0.0021404 | 0.004392 | 0.0064297 | 0.0022997 |
| Columns | 0.0019555 | 0.0019957 | 0.0020358 | 0.0021404 | 0.0022329 | 0.0024299 | 0.00025391 |
The row means vary far more than the column means, so what separates the values runs down the rows.
| Margin | Labels | Count |
|---|---|---|
| Columns | r, g, b | 3 |
Read by name, kind and length, with the value where it is short enough to show. No rule here knows what any of them means.
| Attribute | Holds | Length | Value |
|---|---|---|---|
| metadata | list | 1 | |
| ptransform | list | 3 | |
| quantity | character | 1 | energy->electrical |
| step.wl | numeric | 1 | 1 |
| wavelength | numeric | 471 | 360 – 830 |
This object is 3 columns wide. A matrix carries no per-column schema, so its width is what the catalogue records and there is nothing to list one column at a time. What it holds is described whole instead, summarised over every cell: see Values and Margins above.
450 other datasets carry the same structure fingerprint. That fingerprint is a digest of the column names and their types, and a matrix carries neither, so on one it comes down to the width and the type held: a match is another object of 3 columns holding the same type rather than one with the same columns. The datasets are not listed, because that is not a list of anything this one is related to.
| Version | Released | Size | Change | Stored as | Confidence |
|---|---|---|---|---|---|
| 1.8-0 | 2025-06-10 | 471 × 3 | Unchanged | rda · xz version 3 · 108 KB | exact |
| 1.7-0 | 2025-02-12 | 471 × 3 | Unchanged | rda · xz version 3 · 108 KB | exact |
| 1.6-0 | 2025-01-15 | 471 × 3 | Unchanged | rda · xz version 3 · 108 KB | exact |
| 1.5-0 | 2024-01-28 | 471 × 3 | Unchanged | rda · xz version 3 · 108 KB | exact |
| 1.4-0 | 2022-05-04 | 471 × 3 | Unchanged | rda · xz version 3 · 108 KB | exact |
| 1.3-0 | 2021-12-20 | 471 × 3 | Unchanged | rda · xz version 3 · 108 KB | exact |
| 1.2-1 | 2020-04-01 | 471 × 3 | Unchanged | rda · xz version 3 · 108 KB | exact |
| 1.1-1 | 2019-12-07 | 471 × 3 | Unchanged | rda · xz version 3 · 108 KB | exact |
| 1.0-1 | 2019-06-24 | 471 × 3 | Unchanged | rda · xz version 3 · 108 KB | exact |
| 0.9-1 | 2019-05-31 | 471 × 3 | Data changed Dimensions, Class, Type, Missing, Distinct and Value summary unchanged | rda · xz version 3 · 108 KB | exact |
| 0.8-3 | 2019-03-04 | 471 × 3 | Unchanged | rda · xz version 2 · 107 KB | exact |
| 0.7-5 | 2018-11-19 | 471 × 3 | Unchanged | rda · xz version 2 · 99 KB | exact |
| 0.7-3 | 2018-04-02 | 471 × 3 | Data changed Value summary | rda · xz version 2 · 99 KB | exact |
| 0.6-2 | 2017-12-04 | 471 × 3 | Unchanged | rda · xz version 2 · 92 KB | exact |
| 0.6-1 | 2017-11-17 | 471 × 3 | Data changed Dimensions, Class, Type, Missing, Distinct and Value summary unchanged | rda · xz version 2 · 92 KB | exact |
| 0.5-3 | 2016-05-17 | 471 × 3 | Unchanged | rda · xz version 2 · 92 KB | exact |
| 0.5-2 | 2016-05-15 | 471 × 3 | – | rda · xz version 2 · 92 KB | exact |
Dimensions is the row and column count. Class is the chain of classes R records on the object, most specific first. The facts above give the short name for the same chain. Type is what the values in it are. Missing is how many values were recorded as absent. Distinct is how many different values were counted in the object. Value summary is the six-number summary of the values and their spread.