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R uses sentinal values to indicate missingness within Atomic vectors (read arrays in Arrow parlance, AFAIK).
Currently according to @wesm, the current value in the array in memory is undefined if …
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## downsample the data
If you just use the first 1,000 rows / 100 columns, then you get a warning stating that this is not all of the data.
## Animation / scrolling
"Roll" the data through vi…
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This issue was created based on a conversation in #147 and highlights the observed issues with the missing reference model recovering a known missingness proportion. This is still an area of further w…
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We should probably not be computing surrogates when there isn't any missingness for a given variable. It wastes resources, and is almost certainly useless.
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## General Comments
- The output of some cells like **train.info()** should be redacted once you have gleaned the insight you wanted from the data. Otherwise, you run the risk of having a very jumble…
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missingness
![screen shot 2019-02-18 at 13 14 33](https://user-images.githubusercontent.com/12142475/52953422-57e50200-337f-11e9-82ba-f5acce21e50f.png)
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Approx 17 patients
- [ ] send missingness to walkers and SH
- [ ] organise trio + CA meeting
- [ ] trio + CA meeting
- [ ] Confirm topic for first paper
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Currently, functions in epiprocess that allow missing arguments are mixed between providing default parameter values in the function signature vs. checking whether an argument is `missing` in the func…
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Sometimes the missingness is hard to see because it is a simple "blip" on the radar - when you visualise with `gg_miss_var`, you might miss this. To help visualise this, I think that grey will help sh…
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to make it easier to identify samples that are outliers most likely due to high number of missing values.