MicrobiomeAnalystR | A companion R package for the MicrobiomeAnalyst web server | Data Visualization library

 by   xia-lab R Version: v1.0.0 License: No License

kandi X-RAY | MicrobiomeAnalystR Summary

kandi X-RAY | MicrobiomeAnalystR Summary

MicrobiomeAnalystR is a R library typically used in Analytics, Data Visualization applications. MicrobiomeAnalystR has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

MicrobiomeAnalystR contains the R functions and libraries underlying the popular MicrobiomeAnalyst web server, including > 200 functions for statistical, functional, and visual analysis of microbiome data. The package is synchronized with the MicrobiomeAnalyst web server. After installing and loading the package, users will be able to reproduce the same results from their local computers using the corresponding R command history downloaded from MicrobiomeAnalyst, thereby achieving maximum flexibility and reproducibility. With this R package we also aim to address an important gap left in its web version. Raw sequence data processing. To demonstrate this new functionality, we provide the "MicrobiomeAnalystR Workflow" vignette. In this vignette, we perform end-to-end microbiome data analysis on a subset of clinical IBD samples.
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              MicrobiomeAnalystR has a low active ecosystem.
              It has 81 star(s) with 29 fork(s). There are 9 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 19 open issues and 5 have been closed. On average issues are closed in 91 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of MicrobiomeAnalystR is v1.0.0

            kandi-Quality Quality

              MicrobiomeAnalystR has 0 bugs and 0 code smells.

            kandi-Security Security

              MicrobiomeAnalystR has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              MicrobiomeAnalystR code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              MicrobiomeAnalystR does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              MicrobiomeAnalystR releases are available to install and integrate.
              Installation instructions, examples and code snippets are available.

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            MicrobiomeAnalystR Key Features

            No Key Features are available at this moment for MicrobiomeAnalystR.

            MicrobiomeAnalystR Examples and Code Snippets

            No Code Snippets are available at this moment for MicrobiomeAnalystR.

            Community Discussions

            QUESTION

            Connecting All Nodes Together on a Graph
            Asked 2022-Mar-30 at 20:34

            I have the following network graph:

            ...

            ANSWER

            Answered 2022-Mar-30 at 04:35

            You could just update relations using complete, and than filter out the rows where from is equal to to, which gives arrows from a node to itself.

            Source https://stackoverflow.com/questions/71671488

            QUESTION

            R: Connecting Points in Arbitrary Order
            Asked 2022-Mar-15 at 18:09

            I am working with the R programming language.

            I generated the following random data set in R and made a plot of these points:

            ...

            ANSWER

            Answered 2022-Mar-15 at 17:00

            You can order your data like so:

            Source https://stackoverflow.com/questions/71485862

            QUESTION

            Fixing Cluttered Titles on Graphs
            Asked 2022-Mar-07 at 19:08

            I made the following 25 network graphs (all of these graphs are copies for simplicity - in reality, they will all be different):

            ...

            ANSWER

            Answered 2022-Mar-03 at 21:12

            While my solution isn't exactly what you describe under Option 2, it is close. We use combineWidgets() to create a grid with a single column and a row height where one graph covers most of the screen height. We squeeze in a link between each widget instance that scrolls the browser window down to show the following graph when clicked.

            Let me know if this is working for you. It should be possible to automatically adjust the row size according to the browser window size. Currently, this depends on the browser window height being around 1000px.

            I modified your code for the graph creation slightly and wrapped it in a function. This allows us to create 25 different-looking graphs easily. This way testing the resulting HTML file is more fun! What follows the function definition is the code to create a list of HTML objects that we then feed into combineWidgets().

            Source https://stackoverflow.com/questions/71244872

            QUESTION

            Adding Contour Lines to 3D Plots
            Asked 2022-Mar-04 at 20:53

            I am working with the R programming language. I made the following 3 Dimensional Plot using the "plotly" library:

            ...

            ANSWER

            Answered 2022-Mar-04 at 17:52

            You were almost there.
            The contours on z should be defined according to min-max values of z:

            Source https://stackoverflow.com/questions/71313167

            QUESTION

            How can I create a doughnut chart with rounded edges only on one end of each segment?
            Asked 2022-Feb-28 at 08:52

            I'm trying to build a doughnut chart with rounded edges only on one side. My problem is that I have both sided rounded and not just on the one side. Also can't figure out how to do more foreground arcs not just one.

            ...

            ANSWER

            Answered 2022-Feb-28 at 08:52

            The documentation states, that the corner radius is applied to both ends of the arc. Additionally, you want the arcs to overlap, which is also not the case.

            You can add the one-sided rounded corners the following way:

            1. Use arcs arc with no corner radius for the data.
            2. Add additional path objects corner just for the rounded corner. These need to be shifted to the end of each arc.
            3. Since corner has rounded corners on both sides, add a clipPath that clips half of this arc. The clipPath contains a path for every corner. This is essential for arcs smaller than two times the length of the rounded corners.
            4. raise all elements of corner to the front and then sort them descending by index, so that they overlap the right way.

            Source https://stackoverflow.com/questions/71258718

            QUESTION

            Understanding "list" and "do.call" commands
            Asked 2022-Feb-25 at 10:55

            Over here (Directly Adding Titles and Labels to Visnetwork), I learned how to directly add titles to graphs made using the "visIgraph()" function:

            ...

            ANSWER

            Answered 2022-Feb-25 at 10:55

            Please find below one possible solution.

            Reprex

            • Your data

            Source https://stackoverflow.com/questions/71262761

            QUESTION

            Is it possible to not reorder elements when using d3.join?
            Asked 2022-Feb-18 at 23:13

            In d3, we may change the order of elements in a selection, for example by using raise.

            Yet, when we rebind the data and use join, this order is discarded.

            This does not happen when we use "the old way" of binding data, using enter and merge.

            See following fiddle where you can click a circle (for example the blue one) to bring it to front. When you click "redraw", the circles go back to their original z-ordering when using join, but not when using enter and merge.

            Can I achive that the circles keep their z-ordering and still use join?

            ...

            ANSWER

            Answered 2022-Feb-18 at 23:13

            join does an implicit order after merging the enter- and update-selection, see https://github.com/d3/d3-selection/blob/91245ee124ec4dd491e498ecbdc9679d75332b49/src/selection/join.js#L14.

            The selection order after the data binding in your example is still red, blue, green even if the document order is changed. So the circles are reordered to the original order using join.

            You can get around that by changing the data binding reflecting the change in the document order. I did that here, by moving the datum of the clicked circle to the end of the data array.

            Source https://stackoverflow.com/questions/71179024

            QUESTION

            Is there way in ggplot2 to place text on a curved path?
            Asked 2022-Feb-02 at 10:17

            Is there a way to put text along a density line, or for that matter, any path, in ggplot2? By that, I mean either once as a label, in this style of xkcd: 1835, 1950 (middle panel), 1392, or 2234 (middle panel). Alternatively, is there a way to have the line be repeating text, such as this xkcd #930 ? My apologies for all the xkcd, I'm not sure what these styles are called, and it's the only place I can think of that I've seen this before to differentiate areas in this way.

            Note: I'm not talking about the hand-drawn xkcd style, nor putting flat labels at the top

            I know I can place a straight/flat piece of text, such as via annotate or geom_text, but I'm curious about bending such text so it appears to be along the curve of the data.

            I'm also curious if there is a name for this style of text-along-line?

            Example ggplot2 graph using annotate(...):

            Above example graph modified with curved text in Inkscape:

            Edit: Here's the data for the first two trial runs in March and April, as requested:

            ...

            ANSWER

            Answered 2021-Nov-08 at 11:31

            Great question. I have often thought about this. I don't know of any packages that allow it natively, but it's not terribly difficult to do it yourself, since geom_text accepts angle as an aesthetic mapping.

            Say we have the following plot:

            Source https://stackoverflow.com/questions/69867669

            QUESTION

            How to add/append customized plot in for loop to Single subplot in Python using Matplotlib?
            Asked 2022-Jan-04 at 09:09

            I do realize this has already been addressed here (e.g., matplotlib loop make subplot for each category, Add a subplot within a figure using a for loop and python/matplotlib). Nevertheless, I hope this question was different.

            I have customized plot function pretty-print-confusion-matrix stackoverflow & github. Which generates below plot

            I want to add the above-customized plot in for loop to one single plot as subplots.

            ...

            ANSWER

            Answered 2022-Jan-04 at 09:09

            Okay so I went through the library's github repository and the issue is that the figure and axes objects are created internally which means that you can't create multiple plots on the same figure. I created a somewhat hacky solution by forking the library. This is the forked library I created to do what you want. And here is a an example piece of code:

            Source https://stackoverflow.com/questions/70574478

            QUESTION

            Constructing a hexagonal heat-map with custom colors in each cell
            Asked 2021-Dec-29 at 16:28

            I would like to generate a hexagonal lattice heat-map in which each cell represents a group. Likewise, each cell would be a hexagon with a unique color (fill, set by a column color in the data-frame) value, and a saturation (alpha) value corresponding to continuous decimal values from a chemical concentration dateset.

            I would like to use a standardized data format which would allow me to quickly construct figures based on standardized datasets containing 25 groups.

            For example, a datasheet would look like this:

            ...

            ANSWER

            Answered 2021-Dec-22 at 01:52

            If you're open to creating the plot in Python, the following approach would work:

            Source https://stackoverflow.com/questions/70439033

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install MicrobiomeAnalystR

            If you are using RStudio, ensure that it has been updated to the latest version for smoother installation of MicrobiomeAnalystR and overall better compatibility with all other R packages. To use MicrobiomeAnalystR , first install all package dependencies. Ensure that you are able to download packages from Bioconductor - the Bioconductor package ("BiocManager") and RTools should be pre-installed. To install package dependencies, one can use the pacman R package (for those with >R 3.5.1). Note that some of these packages may require additional library dependencies that need to be installed prior to their own successful installation. For users who wish to perform raw sequence data processing, dada2 will also need to be installed. MicrobiomeAnalystR will not be successfully installed until all package dependencies and their associated dependencies are also installed. An example message signaling the R package installation failure is "non-zero exit status". The most common reason is that not all R package dependencies were successfully installed. If you are unable to run the pacman function, you will have to install each R package dependency one by one using install.packages("x", dependencies = TRUE) if the package is from CRAN or BiocManager::install("x") if the package is from Bioconductor. Note to know where the package is deposited, simply google the R package - i.e. "phyloseq R" will return the Bioconductor page where you can follow the installation instructions for that R package. Note about Tax4Fun: We are in the progress of migrating to Tax4Fun2 - the older version is no longer supported on CRAN but can still be installed from nick-youngblut/Tax4Fun by ensuring the following dependencies are also installed - rhdf5; qiimer; joey711/biom.
            MicrobiomeAnalystR is freely available from GitHub. Note that the Rpackage is currently under construction. The package documentation, including the vignettes for each module and user manual is available within the downloaded R package file. If all package dependencies were installed, you will be able to install the MicrobiomeAnalystR. There are three options, A) using the R package devtools, B) cloning the github, C) manually downloading the .tar.gz file. Note that the MicrobiomeAnalystR github will have the most up-to-date version of the package. Due to issues with Latex, some users may find that they are only able to install MicrobiomeAnalystR without any documentation (i.e. vignettes). The * must be replaced by what is actually downloaded and built. For instance, check your Downloads folder to see what tar.gz file was downloaded. So if you download MicrobiomeAnalystR_1.0.1.tar.gz, replace the * with the downloaded version number. Manually download the .tar.gz file from here. The * must be replaced by what is actually downloaded and built.

            Support

            To inform us of any bugs or requests, please open a new issue or send an email to #jasmine.chong@mail.mcgill.ca.
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            gh repo clone xia-lab/MicrobiomeAnalystR

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