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Hello,
I had a question regarding how you identified the outliers by their sample IDs from Figure 8? Also, why did you choose the 12th column for the rel_abund data frame?
Also, when I tried to…
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Apologies if this has been answered elsewhere, but I've looked around and haven't seen it.
In the About section of this repo, you state that it is a "Quarto extension to embed Shinylive for Python…
p0bs updated
9 months ago
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Here's a quick roadmap for the package. The goal is to have a full test suite that folks can run on their tabular data to identify problems and issues. These can be as common as finding UTF-8 characte…
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Hi folks,
I started a package recently called `testdat`, a play on @hadley's testthat. Since most people in the sciences really just work with small datasets, small messy datasets, especially ones rea…
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Consider adding outlier information to TADA stats function.
Append one or two additional columns to the dataset flagging outliers at the individual station/char level and/or at the all stations/ch…
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After loading data and adjusting settings, once I click on Gene Table I get this message after a moment of waiting:
An error has occurred. Check your logs or contact the app author for clarification.…
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This looks like a very useful package. I have had some trouble when trying to reduce my data.
I've found a similar problem to that reported by jenlewis. When trying to reduce my standards and …
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Hi,
I have made a few time series plots for the more commonly measured analytes at the more popular sites. For reasons discussed earlier - I also am only looking at data collected after 1999.
I mad…
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Hi,
I've tried to run my dataset through the program using the Shiny app. I get the output for the 'Individuals' and 'Normalized depth plot' tabs but I get 'Error:missing value where TRUE/FALSE neede…
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Should be an elegant way to implement such a filter. I tried several methods including use of 'which' and dplyr 'filter' (https://dplyr.tidyverse.org/reference/filter.html). Ideally it will work usin…