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d-callan committed Dec 10, 2023
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Expand Up @@ -5,3 +5,7 @@ I recently found [gpt-pilot](https://github.com/Pythagora-io/gpt-pilot) and want
An R Shiny app that uploads a file and generates a bunch of pairwise correlations with p-values. If an optional second file is provided it will find the pairwise correlations only between the data in the two files. It will produce a histogram of correlation coefficients, and a histogram of p-values. There are inputs to filter the edges of the network by correlation coefficient and p-value. Currently, the edges are visible in a network and a table. If you provided a single input file you will get a network diagram in the regular way. If you provide two input files you will get a bipartite network with two columns of rodes, where each column represents a file and each node a variable in the file.
Run what I currently have, after installing the package in R, like this: `corGraph::corGraph()`
Once the app has started, use the provided test files in `inst/extdata`. If you would like to test the unipartite network, I recommend the file `mpg-all-continuous.tsv`. If you would like to test the bipartite network, I would recommend the files `mpg-cty-hwy.tsv` and `mpg-year-cyl.tsv`.

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