mget | to breakthrogh the speed limit set | Download Utils library

I want to run a MultiGet (mget) search query on several IDs across two indexes. This is because I have two indexes, but I don't know which index contains my ID. This is the query:

I want to match two data frames based on their IDs and append the repeated selection into a single list. Examples of the data frames I have are as below:

I am trying to transfer files from an ftp server using the ftp outbound gateway with recursive method as my ftp server will generate new random name folder and I need to fetch everything. I only know this method work, unless anyone can suggest easier one. Anyway, this is my code.

I have 125 89x89 dataframes in my global environment and need to turn each into a into 1 x 7921 (i.e., 89^2) dataframe and then bind them into a single 125 x 7921 DataFrame. I'm having success getting the dataframes from independent objects in the global environment into a list using mget:

For example,

I want to be able to see summary output for few columns of iris (inbuilt dataset) inside loop using below construct, I saw here , mget might be a solution but guess its not. Can someone help here with the latest & effective way to run it

I apologize that the reproducible example is not quite minimal.

I have a large shiny app, the example here is just an excerpt. I am trying to produce a DT table with checkboxes. The application has DT of available values on the left and three DT on the right where selected values can be moved with buttons.

Below all these another two tables are generated. The first one uses a reactive object constructed from the unique combinations of all values selected in the three tables on the top right with checkboxes between each pair. The second table also uses a reactive object to display the selected pairs. It all works fine when the table with the checkboxes is rendered. However, when I click on the checkboxes, not all are actually selected and displayed in the last DT output. Here are some observed patterns of this unwanted behavior:

1. If there are values only in the first (or the second, or the third) DT on the top right, all works fine, clicking on the checkbox produces the desired result.
2. When there are selected values in the first and the second DTs, then clicking on the first checkbox has no effect.
3. If there are values in all three DTs on the right, then clicking on the first few checkboxes does not have any effect, but it works for the subsequent.

Different other scenarios are possible, depending on the number of selected values in the three DT outputs on the top right. I can't reach any explanation why not all of the checkbox values are collected. When the checkboxes are generated with the shinyInput function, their number matches the number of all possible pairs. However, the shinyValue function collects just part of them.

Here is a screenshot of the final outputs where all generated checkboxes are checked, but just three pairs are returned:

And here is the code:

I'm using quantmod to work on multiple symbols in R. My instinct is to combine the symbols into a list of xts objects, then use lapply do do what I need to do. However, some of the things that make quantmod convenient seem (to this neophyte) not to play nicely with lists. An example:

In the example below, I would like to add column 'value' based on the values of column 'variable' (i.e., 1 and 20).

Problem: Calculate weighted mean across columns of one table using weights in another table based on a join key.

Here are the steps in reprex: