ggraph | Grammar of Graph Graphics | Data Visualization library

 by   thomasp85 R Version: v2.0.5 License: Non-SPDX

kandi X-RAY | ggraph Summary

kandi X-RAY | ggraph Summary

ggraph is a R library typically used in Analytics, Data Visualization applications. ggraph has no bugs, it has no vulnerabilities and it has medium support. However ggraph has a Non-SPDX License. You can download it from GitHub.

Grammar of Graph Graphics
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            kandi-support Support

              ggraph has a medium active ecosystem.
              It has 861 star(s) with 95 fork(s). There are 39 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 65 open issues and 200 have been closed. On average issues are closed in 105 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of ggraph is v2.0.5

            kandi-Quality Quality

              ggraph has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              ggraph has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

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

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            ggraph Key Features

            No Key Features are available at this moment for ggraph.

            ggraph Examples and Code Snippets

            No Code Snippets are available at this moment for ggraph.

            Community Discussions

            QUESTION

            How to use subscript with ggraph in R?
            Asked 2022-Apr-05 at 09:09

            Simple enough question that seems to be taking a lot of time to solve. When creating a dendrogram using ggraph, I'm trying to include a subscript in the node labels. However, I can't seem to get it to work using expression. For example, if I create some data and a dendrogram like the one below:

            ...

            ANSWER

            Answered 2022-Apr-05 at 09:09

            This might not be the most elegant way, but you can use parse = TRUE in geom_node_label; for some reason it keeps expression(), but you can get rid of that afterwards:

            Source https://stackoverflow.com/questions/71745310

            QUESTION

            How to plot a single node using tidygraph objects in R?
            Asked 2022-Mar-28 at 16:08

            I was wondering if it is possible to plot a tidygraph object with a single node? For example, if I create some data and a tidygraph object with 2 nodes, that would look like this:

            ...

            ANSWER

            Answered 2022-Mar-28 at 16:08

            You could create a two-row node data frame with the same row repeated twice, the same for the edges data frame. Create the plot object and remove the second row of its data component.

            Source https://stackoverflow.com/questions/71605514

            QUESTION

            How do I mark the center node in a tidygraph
            Asked 2022-Mar-28 at 10:20

            Using this reproducable example from another question. How do I label / colour the center node on which the local neighborhood graph is based. (In this case 'x')

            ...

            ANSWER

            Answered 2022-Mar-28 at 10:20

            QUESTION

            Graph learning in R, igraph, tidygraph
            Asked 2022-Mar-25 at 21:21

            I have a graph with each node having a value (value in red).

            I would like to do the following two things (I guess 1 is a special case of 2):

            1. Each node should be assigned the mean of the value of the direct peers directing to it. For example node #5 (1+2)/2=1.5 or node #3 (0+2+0)/3=2/3.

            2. Instead of direct neighbors, include all connected nodes but with a diffusion of times 1/n with n being the distance to the node. The further away the information is coming from the weaker signal we'd have.

            I looked into functions of igraph, but could not find anything that is doing this (I might have overseen though). How could I do this computation?

            Below is the code for a sample network with random values.

            ...

            ANSWER

            Answered 2022-Mar-25 at 15:39

            Each node should be assigned the mean of the value of the direct peers directing to it.

            Guessing that you really mean

            Each node should be assigned the mean of the values of the direct peers directing to it, before any node values were changed

            This seems trivial - maybe I am missing something?

            Source https://stackoverflow.com/questions/71618573

            QUESTION

            Control order of nodes in ggraph tree
            Asked 2022-Mar-12 at 18:32

            Is it possible to control the horizontal order of nodes in a ggraph tree?

            • The following code creates a tree:
            ...

            ANSWER

            Answered 2022-Mar-12 at 15:33

            The graphs nodes are not in the wanted order, reorder them first. This comment has a simple way I will use below.

            Source https://stackoverflow.com/questions/71450071

            QUESTION

            Colouring nodes using graph and tidygraph in R?
            Asked 2022-Feb-21 at 15:11

            I recently asked this question about how to colour nodes by variable. And the code works great. However, I'm back trying to colour the terminal nodes separately. For example, if I create some data, then turn them into tidygraph objects and plot them using ggraph then I get something like this:

            ...

            ANSWER

            Answered 2022-Feb-21 at 15:11

            If I understand correctly, you want to apply a different colour mapping to the terminal nodes, mapping value to colour rather than name, and using a different colour scale altogether. ggplot2 doesn’t support that directly, but you can use e.g. ggnewscale to apply a different scale for the rest of the plot.

            I simplified your example a bit to focus on the new scale application:

            Source https://stackoverflow.com/questions/71185966

            QUESTION

            R - How to modify the legend?
            Asked 2022-Jan-21 at 11:13

            I'd like to modify the legend in my plot (see below) by adjusting the number of columns (e.g. from one column with nine rows to three columns and three rows). I already tried to add guides(alpha = guide_legend(ncol = 3)) to adjust the number of columns. However, that didn't work (I assume 'alpha' is not the correct argument but I can't find the appropriate one).

            Example code and plot:

            ...

            ANSWER

            Answered 2022-Jan-21 at 11:13

            It's because the alpha for edges is internally called edge_alpha and not alpha like the aes() would let you believe. Therefore, you can use the scale_edge_alpha_continuous() to define a legend:

            Source https://stackoverflow.com/questions/70799664

            QUESTION

            keeping the shape of the graph, but change the color
            Asked 2022-Jan-18 at 08:08

            I am using as_tbl_graph and ggraph to show the network relation data. I wish to keep the shape and location of each node, while changing the color with several conditions. Problem here is that every time I run the code, the full graph image changes at all. Is there a way to keep the shape of the graph, but only change the color? There are so many items so I can't designate each node's location.

            ...

            ANSWER

            Answered 2022-Jan-18 at 08:08

            You can use the layout argument in ggraph to fix the graph structure, then change anything else you'd like. You can find more in the Details section of the ?ggraph help page, in the vigentte("Layouts", package = "ggraph") and in articles like this one.

            Source https://stackoverflow.com/questions/70751913

            QUESTION

            Why does loading multiple packages in R produce warnings?
            Asked 2021-Dec-27 at 20:12
            required_packs <- c("pdftools","readxl","pdfsearch","tidyverse","data.table","stringr","tidytext","dplyr","igraph","NLP","tm", "quanteda", "ggraph", "topicmodels", "lasso2", "reshape2", "FSelector")
            new_packs <- required_packs[!(required_packs %in% installed.packages()[,"Package"])]
            if(length(new_packs)) install.packages(new_packs)
            i <- 1
            for (i in 1:length(required_packs)) {
             sapply(required_packs[i],require, character.only = T)
            }
            
            ...

            ANSWER

            Answered 2021-Dec-27 at 20:12

            I think the problem is that you used T when you meant TRUE. For example,

            Source https://stackoverflow.com/questions/70497999

            QUESTION

            Setting offset and dodging in a circular hierarchical dendrogram
            Asked 2021-Nov-06 at 19:12

            I have been trying to create a dendrogram with hierarchical edge bundling using the ggraph package, and have run into 2 major issues.

            Questions and code are revised slightly for clarity

            • Firstly, the graph seems to always start from arbitrary points on the circle, while the default should be 90 degrees (12 o'clock). Setting different values for the offset argument, which should be passed to [layout_tbl_graph_dendrogram()]2 also has no effect. Vertices 6 and 41, connected by the red and yellow edges, should be the first and last vertices and fall near 90 degrees.
            • The second issue is that I wish for overlapping edges (those connecting the same vertices) to be very slightly offset, but usual ggplot2 functions such as position_dodge() shift the entire edge. I don't want any shifts where edges are connected to the vertices, but without position_dodge() or similar functions (or with position_dodge(width=0)) the red edge completely covers the yellow, as they share the same two vertices (6 and 41).

            Here's a reproducible example:

            ...

            ANSWER

            Answered 2021-Nov-06 at 19:12

            For the first problem, I just ended up taking the layout file using create_layout(), modifying the locations of the vertices manually (doing some basic trigonometry) before sending the file to ggraph(). For the second problem, I just found all overlapping edges and split the connections dataframe into dataframes of non-overlapping edges, then passed them to geom_conn_bundle() functions separately and with differing tension values. It would be excellent if someone could come up with a better answer to the first problem though! Here's the repository.

            Source https://stackoverflow.com/questions/69822695

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

            Vulnerabilities

            No vulnerabilities reported

            Install ggraph

            ggraph is available through CRAN and can be installed with install.packages('ggraph'). The package is under active development though and the latest set of features can be obtained by installing from this repository using devtools.

            Support

            There are many different ways to store and work with relational data in R. ggraph is built upon tidygraph and the large swath of data structures it supports are thus natively supported in ggraph. In order to get a data type supported by ggraph, simply provide an as_tbl_graph method for it.
            Find more information at:

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