shinyjqui | jQuery UI Interactions and Effects for Shiny | Data Visualization library
kandi X-RAY | shinyjqui Summary
kandi X-RAY | shinyjqui Summary
The shinyjqui package is an R wrapper for jQuery UI javascript library. It allows user to easily add interactions and animation effects to a shiny app.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of shinyjqui
shinyjqui Key Features
shinyjqui Examples and Code Snippets
Lines of Code : 51License : Permissive (MIT License)
Copypublic static void main(String[] args) {
System.out.println("---------------------------------- \n" + "Welcome to Basic Calculator \n" + "----------------------------------");
System.out.println("Following operations are supported : function Calculator() {
this.read = function() {
this.a = +prompt('a?', 0);
this.b = +prompt('b?', 0);
};
this.sum = function() {
return this.a + this.b;
};
this.mul = function() {
return this.a * this.b;
};
} def main():
"""Main function."""
# Create an instance of `QApplication`
pycalc = QApplication(sys.argv)
# Show the calculator's GUI
view = PyCalcUi()
view.show()
# Create instances of the model and the controller
model Community Discussions
Trending Discussions on shinyjqui
QUESTION
My shinyApp generates boxplots for one continous and one categorical variable. I would like the user to be able to select the colors of the boxplots.
To do this, the approach was to generate a color picker based on the number of categories of the categorical variable, and then, select
So far, what I've done is render the colors with a renderUI, and then, allow for the selection in the boxplot function.
However, something is not working properly inside this function draw_boxplot <- function(data_input, num_var_1, num_var_2, biomarker){
as this error is prompt in the console.
Here is the code:
...ANSWER
Answered 2022-Feb-23 at 01:18There are a couple of issues here. If the pickerInput() is hidden your color selection is null at the beginning and therefore you cannot use the colors in your plot. In addition, as multiple = T from a list of choices, you need to use input$colorvar1[[1]] and not input$colorvar1. Full working code:
QUESTION
I want to create an app that allows you to select one variable based on a condition. So I have create a switchInput with conditions Yes, and No, and as you can see, a stratify SelectInput should appear in case Yes is marked.
However, no new SelectInput is displayed:
...ANSWER
Answered 2022-Feb-21 at 10:30As said in the docs of conditionalPanel():
For example, if you have an input with an id of foo, then you can use input.foo to read its value.
So you need to use input.Id013 instead of Id013 in the condition. Also, even if the labels of the switch are "Yes" or "No", it returns a value TRUE/FALSE (which are written "true" or "false" in Javascript). So the condition you need to use is:
QUESTION
I have a dataset with categorical data (let's use Arthritis from vcd package for exmaple purposes).
I want to obtain a barplot where for two variables and colouring by a third one.
You can find a RepEx below:
...ANSWER
Answered 2021-Dec-23 at 20:15You can use pickerInput from shinywidgets package. Try this
QUESTION
I have a dataset with categorical data (let's use Arthritis from vcd package for exmaple purposes).
I want to obtain a barplot where for two variables and colouring by a third one.
In base R this would be:
...ANSWER
Answered 2021-Dec-23 at 10:47As the columns of your new dataframe have names Var1, Var2 and Freqyou could do:
QUESTION
I want my shinyApp to be modularized.
For this I started with the basics, where I just have the basic app.R and a module plot.R to plot the data.
However, even though there is no error message, the module part is not correctly executed, as after selecting the data and executing the analysis no plot is obtained.
...ANSWER
Answered 2021-Dec-22 at 18:06The main issue was that the module couldn't find input$run_button because it has a different namespace. What we need is a way to communicate with the module, that is, passing additional arguments to the module call.
Note: The fill argument passed to ggplot inside the module will provoke that the plot only work for Species variable.
App code:
QUESTION
I found this related question: dragUI not draggable when created with insertUI shiny
I want to insert an arbitrary number of ui elements inside a jqui_sortable(), and have the order of the elements available inside the server function.
If I know beforehand how many elements are needed I can call the jqui_sortable() function inside insertUI and then access the order of the elements in the server:
ANSWER
Answered 2021-Dec-21 at 15:30Seems to work like this. The idea is to destroy the sortable stuff and to re-enable it.
QUESTION
I want the user of the App to be able to change the width and height of the graphs.
However, I want the slider bars to appear only after the graph is being plot.
For this I created a hidden function, and then I call the function with an observeEvent. However, this doesn't change the display of the app, as the sliders are there before calling for the plot.
...ANSWER
Answered 2021-Dec-20 at 15:31Using shinyjs::hidden(), change p() to div() (because p elements can't contain div elements).
I used iris.xlsx as dummy data.
QUESTION
For two categorical variables inside a dataframe I want to compute the fisher test based on the user selection for the variables, specific factors of these variables (and also filtering by another column).
For this, I need to obtain the contingency table, and then apply the fisher.test function.
Just to visualize it, here is how it can be done in R base:
...ANSWER
Answered 2021-Dec-18 at 18:52You have a few syntax errors. First, the inputID for Ygroup2 was still selected_Ygroup1. Second, dplyr:filter() will not reference the dplyr package as it should be dplyr::filter() - that is double colon. Lastly, your variables should not be input$Xgroup1 but actually be input$selected_Xgroup1, and so on. Also, it is better to have eventReactive instead of reactive. Try this
QUESTION
I want the user to select the type of plot to display.
In case the type of plot is 'barplot' new selection variables should appear. In this case "binning" and "breaks".
However, the code below is not working properly. No new variables are display after conditionalPanel.
Here you have the RepEx.
...ANSWER
Answered 2021-Dec-16 at 20:01You have to add "input.graph == 'Barplot'" to the conditions. These conditions are not R code but JS passed as a string and then converted by the function itself.
QUESTION
I have a dataframe with several categorical variables.
...ANSWER
Answered 2021-Dec-16 at 12:43Your data wrangling in NSE (Non-Standard Evaluation) requires some work. Try this
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