whisker | R confirming to the Mustache specification
kandi X-RAY | whisker Summary
kandi X-RAY | whisker Summary
Whisker is a [{{Mustache}}] implementation in [R] confirming to the Mustache specification. Mustache is a logicless templating language, meaning that no programming source code can be used in your templates. This may seem very limited, but Mustache is nonetheless powerful and has the advantage of being able to be used unaltered in many programming languages. It makes it very easy to write a web application in R using Mustache templates which could also be re-used for client-side rendering with "Mustache.js". Mustache (and therefore whisker) takes a simple, but different, approach to templating compared to most templating engines. Most templating libraries, such as Sweave, knitr and brew, allow the user to mix programming code and text throughout the template. This is powerful, but ties your template directly to a programming language and makes it difficult to seperate programming code from templating code. Whisker, on the other hand, takes a Mustache template and uses the variables of the current environment (or the supplied list) to fill in the variables.
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Trending Discussions on whisker
QUESTION
ANSWER
Answered 2021-Jun-10 at 22:23You first create a dataframe where you have min and max for each combination of (xcat, base and col)
QUESTION
I have a MongoDB (running on Cosmos DB), and am trying to filter out sub-documents in an array, based on a list. I have had some success in the Mongo Shell but I did not achieve my goal, and no success in C# with the MongoDriver.
What I want to do is e.g. given these two documents in my database:
...ANSWER
Answered 2021-May-19 at 15:09first of all, you need to make the pet
property IEnumerable
like so:
QUESTION
When I resize whiskers in a boxplot using geom="errorbar , width="
the center line (from stat_boxplot) with whiskers moves, so I get two lines:
How can I avoid that when I resize? Especifically, I would like to make whisker width smaller thant boxplot width.
How do I hide the line from boxplot? (An answer for the first question would solves the problem, but I'm curious).
ANSWER
Answered 2021-May-02 at 15:49I can get your desired outcome by adjusting the position of your stat_boxplot()
. For me, it appears correct by adding the following argument: position = position_dodge(width = 0.75)
. It was trial and error to get the correct value of 0.75.
QUESTION
I have the following pre-summarized cost data:
MeanCost Std MedianCost LowerIQR UpperIQR StatusGroup AgeGroup 700 500 650 510 780 Dead Young 800 600 810 666 1000 Alive Young 500 200 657 450 890 Comatose Young 300 400 560 467 670 Dead Old 570 600 500 450 600 Alive Old 555 500 677 475 780 Comatose Old 333 455 300 200 400 Dead Middle 678 256 600 445 787 Alive Middle 1500 877 980 870 1200 Comatose MiddleI wish to create a boxplot with this information - similar to the one below.
Where each Color represents Status Group (blue=dead, read=alive, green=comatose).
And each grouped cluster represents an age group (left cluster=young, middle cluster=middle, right cluster=old).
I know that I don't have min and max, so whiskers are not necessary.
I want to code this in R, and any help would be appreciated! Thank you.
Here is the code I have tried:
...ANSWER
Answered 2021-Apr-26 at 04:37Is this what you are trying to do?
QUESTION
I recently submitted an R package to CRAN which passed the initial checks and was published on CRAN. But it fails a package check on one of the configurations it was tested on by CRAN, r-devel-windows-x86_64-gcc10-UCRT
. (https://cran.r-project.org/web/checks/check_results_rslurm.html)
Our package has one hard dependency, whisker
. The dependency isn't available for some reason on that combination of OS and R version.
The relevant section of the DESCRIPTION
file is:
ANSWER
Answered 2021-Apr-25 at 12:25That is an experimental build. If your package fails on it because of a missing dependency, don't worry about it. If it fails for some other reason, you should fix it.
You can read the details here: https://www.r-project.org/nosvn/winutf8/ucrt3/CRAN/checks/gcc10-UCRT/README.txt and here: https://svn.r-project.org/R-dev-web/trunk/WindowsBuilds/winutf8/ucrt3/howto.html .
Your package fails only because of a missing dependency. If you want to get rid of that badge, you could help the dependency author to fix their package so it builds. In the case of whisker
it's also a dependency issue, so it may take a bit of time to trace back through the dependencies until you find the package(s) that actually fail and are fixable, but perhaps you could inform the whisker
author of the issue, hopefully to recruit them in the search.
QUESTION
With the following data (for a quick csv file generation, dataset link):
and the following code:
...ANSWER
Answered 2021-Apr-12 at 02:20If you're open to using seaborn, you can use sns.boxplot()
and set the melted variable
as hue
:
QUESTION
I have a pandas DataFrame that contains a value that was logged every few minutes.
...ANSWER
Answered 2021-Mar-17 at 13:39Since your data is in the long form already, seaborn
is the correct choice. You can use either dt.normalize()
or dt.date
to get the dates:
QUESTION
I'm just starting using Matplotlib, and I'm trying to learn how to draw a box plot in Python using Colab.
My problem is: I'm not able to put the median on the graph. The graph just showed the quartiles, mean, and outliers. Can someone help me?
My code is the following.
...ANSWER
Answered 2021-Mar-07 at 06:44If I understand correctly, you're looking for showmeans
and meanline
:
QUESTION
I'd like to make an error
representation in a boxplot (upper and lower quartiles, whiskers) without success. I have two exploratory variables (distance
and radius
) and if I make a mean plot with the error bars is OK, but if I try to make the same in a boxplot, I don't have the 5 radius for each distance. In my example:
ANSWER
Answered 2021-Mar-02 at 22:35The problem seems to be that after aggregating the data with summarise
there is only one datum per group/subgroup of distance/radius and a box-and-whiskers plot no longer makes sense.
The code below doesn't aggregate the data, it simply converts the grouping variables to factor and plots them in the x axis. The y axis percent scale labels use package scales
, function label_percent
.
QUESTION
I am learning datascience for data analysis I am using seaborn and doing a box plot which resulted in below plot
I understood the whiskers which represting quantiles and the dots on top at 45 and 52 are max values. what I don't understand is what do the dots in between represent and what are they called
...ANSWER
Answered 2021-Feb-28 at 00:17In box plots, dots are outliers. This is not particular to Seaborn or any other tool; it is generical to visualization in statistics.
The outliers are points that stay out of the interval [Q1-1.5*IQR; Q3+1.5*IQR]
, with:
Q1 = Quartile 1 (25th percentile)
Q3 = Quartile 3 (75th percentile)
IQR = Interquartile range from Q1 to Q3
I think you will understand that better if you plot the histograms matching those box plots :)
Please, read this post, it is quite good :)
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