viridisLite | Colorblind-Friendly Color Maps for R

 by   sjmgarnier R Version: v0.4.0CRAN License: Non-SPDX

kandi X-RAY | viridisLite Summary

kandi X-RAY | viridisLite Summary

viridisLite is a R library. viridisLite has no bugs, it has no vulnerabilities and it has low support. However viridisLite has a Non-SPDX License. You can download it from GitHub.

viridisLite, and its companion package viridis provide a series of color maps that are designed to improve graph readability for readers with common forms of color blindness and/or color vision deficiency. The color maps are also perceptually-uniform, both in regular form and also when converted to black-and-white for printing. viridisLite provides the base functions for generating the color maps in base R. The package is meant to be as lightweight and dependency-free as possible for maximum compatibility with all the R ecosystem. viridis provides additional functionalities, in particular bindings for ggplot2.
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            kandi-support Support

              viridisLite has a low active ecosystem.
              It has 58 star(s) with 13 fork(s). There are 4 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 0 open issues and 8 have been closed. On average issues are closed in 200 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of viridisLite is v0.4.0CRAN

            kandi-Quality Quality

              viridisLite has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              viridisLite 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

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

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            viridisLite Key Features

            No Key Features are available at this moment for viridisLite.

            viridisLite Examples and Code Snippets

            viridisLite - Colorblind-Friendly Color Maps for R ,Installation
            Rdot img1Lines of Code : 7dot img1License : Non-SPDX (NOASSERTION)
            copy iconCopy
            install.packages("viridisLite")
            library(viridisLite)
            
            if (!require("devtools")) 
              install.packages("devtools")
            
            devtools::install_github("sjmgarnier/viridisLite")
            library(viridisLite)
              

            Community Discussions

            QUESTION

            Plot list of lists with facet_wrap()
            Asked 2022-Feb-08 at 17:53

            Say I have a list of the following structure:

            ...

            ANSWER

            Answered 2022-Feb-08 at 17:53

            You could use lapply to convert each element of your list to a data.frame and afterwards use e.g. dplyr::bind_rows to bind your data in one dataframe and to add an id column which could then be used as faceting variable.

            Using some fake data as example data:

            Source https://stackoverflow.com/questions/71038142

            QUESTION

            How to convert a list of characters that is stored in a single value (per record) into a format that can be analyzed? R
            Asked 2022-Feb-08 at 00:24

            So I have the following data. In this dataframe I have a username, date, and a list of packages. My goal is to transform that column packages into a format I can analyze.

            ...

            ANSWER

            Answered 2022-Feb-07 at 22:31

            A solution, based on tidyr::separate:

            Source https://stackoverflow.com/questions/71026212

            QUESTION

            Problems generating tree diagram with hctreemap2
            Asked 2022-Jan-21 at 16:21
            library(highcharter)
            library(dplyr)
            library(viridisLite)
            library(forecast)
            library(treemap)
            
            data("Groceries", package = "arules")
            dfitems <- tbl_df(Groceries@itemInfo)
            
            set.seed(10)
            
            dfitemsg <- dfitems %>%
              mutate(category = gsub(" ", "-", level1),
                     subcategory = gsub(" ", "-", level2)) %>%
              group_by(category, subcategory) %>% 
              summarise(sales = n() ^ 3 ) %>% 
              ungroup() %>% 
              sample_n(31)
            
            
            hctreemap2(group_vars = c("category","subcategory"),
                       size_var = "sales")%>% 
              hc_tooltip(pointFormat = "{point.name}:
            Pop: {point.value:,.0f}
            GNI: {point.colorValue:,.0f}")
            ...

            ANSWER

            Answered 2022-Jan-21 at 16:21

            When I tried your code, it also stated that the function was deprecated and to use data_to_hierarchical. Although, it's never quite that simple, right? I tried multiple ways to get hctreemap2 to work, but wasn't able to discern that issue. From there I turned to the package recommended data_to_hierarchical. Now that worked without an issue--once I figured out the right type, which in hindsight seemed kind-of obvious.

            That being said, this is what I've got:

            Source https://stackoverflow.com/questions/70765457

            QUESTION

            SVM prediction running fine in my computer but not in R Connect
            Asked 2021-Aug-06 at 04:41

            I’m creating a Shiny app that uses the caret package to do some SVM free-text analysis.

            The app runs fine without any error in my computer. I’m using R x64 4.0.4 and R studio 1.3.1093

            I’m deploying app to an internal enterprise server https://rconnect.xxxx.com/connect/#/apps/####

            This app is deployed in the server and started.
            But when I reach the line where I run the train function:

            ...

            ANSWER

            Answered 2021-Aug-05 at 01:15

            Errors like this in Shiny apps are almost always a result of missing packages, which the logs confirm.

            Turns out in this case I think the missing package is kernlab, which I only found by reading the documentation given here: https://topepo.github.io/caret/train-models-by-tag.html#Support_Vector_Machines. It's a suggested package, not imported, so the command suggested in the comments by heds1 would sort this out.

            Source https://stackoverflow.com/questions/68659043

            QUESTION

            Exporting leaflet with colour palette
            Asked 2021-Mar-29 at 16:31

            I'm exporting a leaflet map from a Shiny app. Everything works fine, until I want to add a legend for my colour-coded points (based on a variable). The colour-coding works fine, and adding the usual legend with leafletProxy works fine, but to have the export working, I need to use a custom-defined function to create the map, and that seems to break when I use my usual addLegend for the colour palette.

            Any advice would be appreciated!

            ...

            ANSWER

            Answered 2021-Mar-29 at 16:31

            Apparently it just needed a small tweak from =~df.in$Size to =df.in$Size. This now plots and downloads ok.

            Source https://stackoverflow.com/questions/66806095

            QUESTION

            renv 0.12.0 was loaded from project library, but renv 0.11.0 is recorded in lockfile
            Asked 2020-Sep-15 at 22:47

            Upon opening a project on rstudio i have the following Warning:

            ...

            ANSWER

            Answered 2020-Sep-15 at 22:47

            I think this is ultimately a small bug in renv. Here's my guess at what's happening:

            1. While this project has been initialized as an renv project, it does not have a lockfile for some reason. (Perhaps renv::activate() was called to initialize renv without explicitly creating a lockfile?)

            2. The project has an renv autoloader; this is from a script at renv/activate.R. That script is configured to load renv 0.11.0.

            3. When the project is loaded, renv finds that renv 0.12.0 is installed in the project library, not the expected version 0.11.0. This causes the warning to be emitted. (Perhaps renv was updated in that project previously?)

            So, ultimately, the warning is misleading here -- the request for renv 0.11.0 comes directly from the autoloader, not from the lockfile (which does not exist). As for why the lockfile does not exist, I'm not sure -- but it most likely implies the project was initialized via renv::activate(), and not by renv::init().

            All that said -- you can safely re-generate the lockfile via renv::snapshot().

            Source https://stackoverflow.com/questions/63897210

            QUESTION

            How do I make highcharter use colorIndex number from tidy dataframe
            Asked 2020-Jun-08 at 12:55

            Problem: I am trying to force highcharter to always use only a particular color for each series.

            Example: Lets use hc_colors pallette, and colorIndex. I have two charts, one with colorIndex'es numbered 2, 3 and 5, and one with colorIndex'es 1, 2 and 4. The only common colorIndex number is 2, and I would like only this metric to share the same color on both charts. However, the result is that both charts have the same colors, even is their metrics numbers are mostly different.

            Code: My example problem can be achieved by running the following code:

            ...

            ANSWER

            Answered 2020-Jun-08 at 12:55

            I would ask for details in comment, but I have some code I want to share so I create an answer.

            I don't know how exactly viridis works. I found that, instead of setting the color only for series, the Highcharter sets it for points too. If you don't get the full answer here on StackOverflow, I suggest contacting the Highcharter author here: https://github.com/jbkunst/highcharter/issues

            I don't know what exactly you want to achieve, but you can set your colors manually in JavaScript using R JS("...") function and chart.events.load event

            Depending on what you want to achieve, you can change the colors of the markers to fit the series color:

            Source https://stackoverflow.com/questions/62220356

            QUESTION

            Highchart's heat-map plot not rendering correctly when x-axis is in time format (HH:MM)
            Asked 2020-May-27 at 11:03

            I want to plot a heatmap for my data using highchart js plotting library in R -

            ...

            ANSWER

            Answered 2020-May-27 at 09:49

            Short answer: there is a problem with your data.

            Explanation: I managed to get your data out of your R chart. You have 865 points and, after simplifying, your data looks like:

            Source https://stackoverflow.com/questions/61978533

            QUESTION

            Converting and saving grayscale image to e.g. viridis colour scheme
            Asked 2020-Apr-27 at 17:45

            Let's say I have this image:

            I want to convert the grayscale to a viridis colour schema and save it. I have got it to work using this chuck of code:

            ...

            ANSWER

            Answered 2020-Apr-27 at 16:35

            I'm sure there are ways to do this without reinventing the wheel, but using just the libraries you have loaded, it's fairly straightforward to manipulate the viridis colours to split them into 3 channels and save as png.

            Here's a function to do the job for any png:

            Source https://stackoverflow.com/questions/61460482

            QUESTION

            R: ggplot2 plot with ggupset and hrbrthemes::theme_upsum(): Superfluous "at" appears at x-axis label
            Asked 2020-Mar-25 at 11:36

            I am using hrbrthemes::theme_ipsum() with most of my plots, but now I'm encountering odd behaviour while using ggupset: An extra "at" above the x-axis label that I can neither find the origin of nor can get rid of.

            If anyone could try to explain what's going on here (and how to get rid of it), that'd be great.
            Note that I tried both the current CRAN and GitHub versions of hrbrthemes.

            Demonstration:

            ...

            ANSWER

            Answered 2020-Mar-25 at 11:36

            The issue was caused by ggupset, and has since been fixed.

            If anyone else has encountered this, you can use the current development version: remotes::install_github("const-ae/ggupset"), or wait for the CRAN release in the near future.

            Source https://stackoverflow.com/questions/60832888

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

            Vulnerabilities

            No vulnerabilities reported

            Install viridisLite

            You can install viridisLite from CRAN by typing the following line in your R console:.

            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://github.com/sjmgarnier/viridisLite.git

          • CLI

            gh repo clone sjmgarnier/viridisLite

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            git@github.com:sjmgarnier/viridisLite.git

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