Javelin | embedded language | Interpreter library

I have created a reactive function in the server to get a list of elements. The idea is to show each element of the list as a individual choice in the ui, just like selectInput does in the ui.

I wrote an example with mtcars.

I am trying to subsample a data.frame in a way that the sample would have observations that capture as much variation as possible among a set of columns of the original data.frame.

An example with the mtcars dataset: I'd like to find 3 cars that are the most different from each other by mpg, vs and carb. Looking at the data visually, it would probably be Toyota Corolla (high mpg, vs 1, low carb), Cadillac Fleetwood (low mpg, vs 0, medium carb) and either Maserati Bora (low-med mpg, vs 0, high carb) or Ferrari Dino (medium mpg, vs 0, med-high carb):

I have a data frame with several columns and I want to recode values. Each column has its individual set of recoding rules, given in a table of original <=> replacement mapping (each table is specific to each column).

I'm trying to come up with a programmatic solution that will allow me to functionize such recoding procedure.

• data
• table storing information about per-column recoding instructions

Due to lack of funds (till subscriptions can be taken again) we cannot pay for a developer to correct the way results are displayed in some query/searches.

What happens in these cases is that the order in which the rows are stored in displayed for the user.

Requirement As an interim - carry out the AlphaNumeric reorder the table of results so that the positions of each even is in Aplhanumerical order 1 to 10 then 11 and larger numbers below followed by alphabetical letters.

This is an example of how it can appear

Let's say I want to apply the same function (dplyr::filter) on the same dataset with different filtering conditions.

I can use pmap here to give a list of arguments in .l and the function I want to run in .f. The arguments to filter are .data (which I have specified), and it works with one condition, as expected:

How to recode some dataframe values to NA if they don't appear in a separate vector?

More specifically, how to approach such task when:

• each data column to clean has its specific set of "valid" values to keep, independent of other columns
• column-specific values are given in a separate table (as vectors nested in a list-column in a tibble)

• My data to clean up is my_mtcars
• I want to clean up certain columns (cars, gear, and carb)
• In each of those columns, I want to keep only certain values as they are specified in a separate table table_valid_values under valid_values. Otherwise, values not specified as "valid" should turn to NA.
• For any column of my_mtcars that does not appear in table_valid_values, no cleanup is needed.

I am struggling to actually use the results of a setdiff on two data frames (it makes sense to me as a vector, but not as much for data frames).

REPREX:

I am having trouble extracting the proper information from my JsonObject. Currently, I'm receiving this type of String from a Web API:

I am following an in-line style method to develop this layout. When I make it responsive, the body and footer content is not getting aligned. As you can see in the image shared on the link, contents are not well aligned when it is responsive:

and here's my code