ggdag | R package for working with causal directed acyclic graphs | Data Visualization library

 by   malcolmbarrett R Version: v0.2.8 License: Non-SPDX

kandi X-RAY | ggdag Summary

kandi X-RAY | ggdag Summary

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

Tidy, analyze, and plot causal directed acyclic graphs (DAGs). ggdag uses the powerful dagitty package to create and analyze structural causal models and plot them using ggplot2 and ggraph in a consistent and easy manner.
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            kandi-support Support

              ggdag has a low active ecosystem.
              It has 378 star(s) with 22 fork(s). There are 11 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 9 open issues and 54 have been closed. On average issues are closed in 65 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of ggdag is v0.2.8

            kandi-Quality Quality

              ggdag has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              ggdag 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

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

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            ggdag Key Features

            No Key Features are available at this moment for ggdag.

            ggdag Examples and Code Snippets

            No Code Snippets are available at this moment for ggdag.

            Community Discussions

            QUESTION

            Change color for specific nodes in GGDAG
            Asked 2022-Mar-11 at 16:39

            I am trying to reproduce the following graph in R with GGDAG.

            So far I am able to reproduce all nodes and arrows. However I do not know how to change the color of the "U" node and add the correspondent legend to the graph. Help is highly appreciated!See code for the uncolored DAG below.

            ...

            ANSWER

            Answered 2022-Mar-11 at 16:38

            This is a little tricky since there doesn't seem to be the option directly within the function to label colours how you would like. Perhaps the easiest way would be to add an aesthetic mapping to the point layer:

            Source https://stackoverflow.com/questions/71441472

            QUESTION

            Adding Logo to R plot dynamically
            Asked 2021-Oct-24 at 18:12
            library(dagitty)
            library(ggplot2)
            library(ggdag)
            
            get_jpg <- function(filename) {
              grid::rasterGrob(jpeg::readJPEG(filename), interpolate = TRUE)
                }
            logo <- get_jpg("logo.jpg")
            
            ex.1 <- dagitty("dag { 
            
            X <- A -> B <- C -> Y
            X <- B -> Y
            X -> W -> Y
            S-> T -> C
            }")
            
            exposures(ex.1) <- 'X'
            outcomes(ex.1) <- 'Y'
            
            tidy.1 <- ex.1 %>% 
              tidy_dagitty() %>%
              mutate(label = str_to_upper(name)) 
            
            
            ggdag(tidy.1 , text = FALSE, use_labels = "label") + theme_dag() +
              theme_light() +
              annotation_custom(logo, xmin = 6.5, xmax = 8.5, ymin = -5, ymax = -8.5) +
              coord_cartesian(clip = "off") +
              theme(plot.margin = unit(c(1, 1, 3, 1), "lines"))
            
            
            ...

            ANSWER

            Answered 2021-Oct-24 at 18:12

            One option to achieve your desired result would be to position the logo by setting the coordinates via rasterGrob instead of via annotation_cutom. Making use of the example code in the post you linked in my code below I put the R logo on the bottom right. As you can see from the two examples I added this works fine independently of the range of the data and will put the logo always on the same position:

            Source https://stackoverflow.com/questions/69698481

            QUESTION

            How to customise appearance of DAGs using dagitty
            Asked 2020-Apr-21 at 10:43

            I am using dagitty online browser to draw DAGs for a project: http://www.dagitty.net/dags.html#

            I cannot figure out how to customise the appearance of my DAGs to make them look nice, for inclusion in a paper. Code and images are provided at the end of the post.

            I would like to be able to do any of the below: A) Use superscripts instead of underscores B) Change the size of the font C) In the 'classic' style, the variable names cover the arrows in the arrow is going directly up, so you cannot see the direction of causality D) Just have variable names representing each node, instead of boxes

            In the paper explaining how to use the R package of this tool, there are many DAGs which have the above mentioned properties, but the focus of the paper is to explain how to use DAGs to properly assess causality etc, nothing about the appearance of the DAGs. I would be very grateful for some help on this, or for suggestions of other tools/packages that allow you to draw DAGs. I also fear this may be better placed on the maths/statistics stack, which will likely have more users of the dagitty tool. Mods please move there if appropiate. I posted here as it's purely a coding issue.

            The following code can be input in the 'model code' section of the dagitty website to reproduce the two DAG images I have provided. By choosing 'classic' or 'SEM-like' under the Diagram style, you can get the two appearances.

            ...

            ANSWER

            Answered 2020-Apr-16 at 06:56

            Try the R package ggdag, see here, also, checkout the manual here

            Source https://stackoverflow.com/questions/61059294

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

            Vulnerabilities

            No vulnerabilities reported

            Install ggdag

            You can install ggdag with:.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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          • HTTPS

            https://github.com/malcolmbarrett/ggdag.git

          • CLI

            gh repo clone malcolmbarrett/ggdag

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            git@github.com:malcolmbarrett/ggdag.git

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