cache=TRUE optionTo speed up the compilation time when you write R graphing code, you will have to use the caching option.
```{r cache=TRUE}
In the situation where your tests might actually run slower on another person's machine, you should give them an option to increase the timeout to prevent timeout failures.
At first glance, you might do something like this to run the command to accept a timeout value.
npm run test -- --testTimeout=50000
As the JavaScript world have adopted promises to handle asynchronous events, it would be no surprise that Vitest would also support promises.
Stepping away for Vitest for a moment, the general method of testing RxJS observables was through marble diagram testing such as using TestScheduler, but the TestScheduler is more suited for testing the order of emitted values from observables.
If your observable only emits one final value, it is more suitable to convert the observable to a promise and check the return value in Vitest as shown below
import { lastValueFrom } from 'rxjs';
// Depending on your application, you might need to switch
// out lastValueFrom with firstValueFrom for the conversion to work.
const promiseResults = await lastValueFrom(returnsObservable());
expect(result).toBe(valueExpected);
To quickly look at the output of a variable, you can use the print or console statement in your programming language of choice. Most of the language packages you add with the vscode extensions do not have a shortcut hotkey combination to quickly print or log out a variable. A good majority of the extensions also caters to the more common programming languages such as JavaScript or Python.
It would be most beneficial to have a general logger where you can activate the statement with a use of a shortcut key combination if you tend to work with multiple languages. There are a couple of general print loggers on the vscode extension marketplace, but the variable-print plugin stood out in that it was the one that offered the option of adding new languages to support custom print statements.
The Matplotlib charting outputs unwanted content in your document related to the description of chart. Something similar to this might appear right above the chart that you want to display.
<Figure size 960x576 with 0 Axes>
Not only is quarto good for document publishing needs, it can also be used as presentation tool. With quarto, you can leverage revealjs to display your charts and graphs.
There might be a situation where you would want to present your graphs in two columns. This makes better use of the space in one slide to accommodate two figures.
:::: {.columns}
:::: {.column}
First column
::::
:::: {.column}
Second Column
::::
::::
When you enlarge the view of a qqplot chart, you would like to see a crisp zoomed in version of the chart. We will achieve this by using svg charts.
For one to use svg charts in ggplot, it requires a download of another package called 'svglite'. However, R dependency manager doesn't quite install sub-dependencies for you, which makes it challenging to get all the dependencies you need for a project. To alleviate this issue, install renv to make managing R dependencies a less complicated ordeal.
The following example assumes that you are on an Ubuntu machine.