viridisLite | Colorblind-Friendly Color Maps for R
kandi X-RAY | viridisLite Summary
kandi X-RAY | viridisLite Summary
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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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of viridisLite
viridisLite Key Features
viridisLite Examples and Code Snippets
install.packages("viridisLite")
library(viridisLite)
if (!require("devtools"))
install.packages("devtools")
devtools::install_github("sjmgarnier/viridisLite")
library(viridisLite)
Community Discussions
Trending Discussions on viridisLite
QUESTION
Say I have a list of the following structure:
...ANSWER
Answered 2022-Feb-08 at 17:53You 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:
QUESTION
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 22:31A solution, based on tidyr::separate
:
QUESTION
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 16:21When 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:
QUESTION
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 01:15Errors 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.
QUESTION
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 16:31Apparently it just needed a small tweak from =~df.in$Size
to =df.in$Size
. This now plots and downloads ok.
QUESTION
Upon opening a project on rstudio i have the following Warning:
...ANSWER
Answered 2020-Sep-15 at 22:47I think this is ultimately a small bug in renv
. Here's my guess at what's happening:
While this project has been initialized as an
renv
project, it does not have a lockfile for some reason. (Perhapsrenv::activate()
was called to initializerenv
without explicitly creating a lockfile?)The project has an
renv
autoloader; this is from a script atrenv/activate.R
. That script is configured to loadrenv 0.11.0
.When the project is loaded,
renv
finds thatrenv 0.12.0
is installed in the project library, not the expected version0.11.0
. This causes the warning to be emitted. (Perhapsrenv
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()
.
QUESTION
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 12:55I 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:
QUESTION
I want to plot a heatmap
for my data using highchart
js
plotting library in R -
ANSWER
Answered 2020-May-27 at 09:49Short 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:
QUESTION
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 16:35I'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:
QUESTION
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 11:36The 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.
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