DummyBeta.m
Dummy beta value matrix
Bundled with EpiDISH · 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 | 0.012251 | 0.30522 | 0.583 | 0.52956 | 0.79371 | 0.98176 | 0.30061 |
| Columns | 0.50268 | 0.50972 | 0.53417 | 0.52956 | 0.54577 | 0.56049 | 0.020962 |
The row means vary far more than the column means, so what separates the values runs down the rows.
| Margin | Labels | Count |
|---|---|---|
| Rows | cg17506061, cg09300980, cg18886245, cg17470327, cg26082174, cg14737131, cg07454933, cg07682645, cg16186938, cg13088939, cg19722814, cg07027912, … | 2,000 |
| Columns | S1, S2, S3, S4, S5, S6, S7, S8, S9, S10 | 10 |
This object is 10 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.
21 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 10 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 |
|---|---|---|---|---|---|
| 3.23 | 2026-04-28 | 2,000 × 10 | Unchanged | rda · gzip version 3 · 169 KB | exact |
| 3.22 | 2025-10-29 | 2,000 × 10 | Unchanged | rda · gzip version 3 · 169 KB | exact |
| 3.21 | 2025-04-15 | 2,000 × 10 | Unchanged | rda · gzip version 3 · 169 KB | exact |
| 3.20 | 2024-10-29 | 2,000 × 10 | Unchanged | rda · gzip version 3 · 169 KB | exact |
| 3.19 | 2024-10-12 | 2,000 × 10 | Unchanged | rda · gzip version 3 · 169 KB | exact |
| 3.18 | 2023-10-24 | 2,000 × 10 | Unchanged | rda · gzip version 3 · 169 KB | exact |
| 3.17 | 2023-04-25 | 2,000 × 10 | Unchanged | rda · gzip version 3 · 169 KB | exact |
| 3.16 | 2022-11-09 | 2,000 × 10 | Unchanged | rda · gzip version 3 · 169 KB | exact |
| 3.15 | 2022-04-26 | 2,000 × 10 | Unchanged | rda · gzip version 3 · 169 KB | exact |
| 3.14 | 2021-10-26 | 2,000 × 10 | Unchanged | rda · gzip version 3 · 169 KB | exact |
| 3.13 | 2021-05-19 | 2,000 × 10 | Unchanged | rda · gzip version 3 · 169 KB | exact |
| 3.12 | 2021-04-27 | 2,000 × 10 | Unchanged | rda · gzip version 3 · 169 KB | exact |
| 3.11 | 2020-04-27 | 2,000 × 10 | Unchanged | rda · gzip version 3 · 169 KB | exact |
| 3.10 | 2020-03-01 | 2,000 × 10 | Unchanged | rda · gzip version 3 · 169 KB | exact |
| 3.9 | 2019-05-04 | 2,000 × 10 | Data changed Dimensions 1,000 × 2 → 2,000 × 10 · Missing 1 → 0 · Distinct 1,999 → 20,000 · Value summary | rda · gzip version 3 · 169 KB | exact |
| 3.8 | 2018-11-30 | 1,000 × 2 | Unchanged | rda · gzip version 2 · 21 KB | exact |
| 3.7 | 2018-04-30 | 1,000 × 2 | Unchanged | rda · gzip version 2 · 21 KB | exact |
| 3.6 | 2017-10-30 | 1,000 × 2 | – | rda · gzip version 2 · 21 KB | exact |
Dimensions is the row and column count. 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.