mira | Create simple APIs from CSV files | CSV Processing library

I am trying to print a regression model using tbl_regression() on a plm object with multiply imputed data. I've found that I can print the regression table if the plm has one independent variable, but not if it has two or more independent variables.

I understand that the below error message is common, but I don't understand what it means in the context of tbl_regression and multiply imputed data. Is there a bug in gtsummary, or is something wrong with my code?

I need to make a multi item carousel with youtube videos, I found one example and made it work for me using bootstrap 5 carousel and cards, but the animation when de carousel slides is not fluid, the problem is the cards overlaps when the carousel slide, I tried to change the values on transform: translateX(%) but the animation is not that fluid, any advice on this?

This is the carosuel code, this displays 3 cards with the videos and the tittle in the bottom, as you can see I'm using iframe to call the youTube videos

I want to extract the values from "scanEvents" list or array. Each scanEvent has a date, eventtype, eventdescrption, derivedstatus, etc...

I have used several methods, such as this one below, but so far I am unable to extract the values for each "scanEvent"

I'm trying to read the content from a CSV file and create a setup window in which I can set new values in the radiobuttons and save them. For this, I've created a loop which creates N-1 rows from a CSV whose content is:

Regex is not replacing special characters properly. So any alternative or codes to fix this method.

Until now I was using this method from regex to replace

I have to implement a program which analyzes friendship. There will be a text file which will contain group of friends.so when user input a name from the group, the program shows who are this person's friends. For example, the text file contains, Erina;Mira; Kyla; If user inputs Mira it will show other person as her friends.. I need to store the text file data in a data structure.. So what kind of data structure will be suitable for this in python? Should I go for a dictionary?? ( The question asks for nested data structure)

Hello everyone (a python newbie here), I am trying to select a value from a dropdown [(image here)][1] from the following site: https://www.amfiindia.com/net-asset-value/nav-history but I am getting the error

Dear StackOverflow community, as a surgeon, and full of enthusiasm for 6 months for R learning in self-taught mode (StackOverflow, and so many websites), I beg your indulgence in the triviality of my concern.

The background: Briefly, my objective is to run a survival cox model regression for a dataset of cancer patients. Due to the retrospective aspect, I planned to make a matching 1:3 with propensity score matching (PSM). The missing data were dealt with multiple imputations ("mice" pkg). The PSM was managed with "MatchThem" pkg. I used "survey" pkg for pooling the survival (svycoxph() pooled through with() function). This leads us to a mimira object, which I can easily print out into a beautiful Table, with tbl_regression ("gtsummary" pkg).

The issue: As a usually print my cox regressions into a Hazard ratios Table and a graphical version (Forest plot with ggforest(), from "survminer" pkg), this time I am really stuck. The function ggforest doesn't recognize the mimira object as a "coxph object" and send this error :

I am trying to calculate the global p-value using the gtsummary package on my multiple imputed datasets. I haven't found a solution for this. I know that gtsummary allows for the production of linear regression on multiple imputed datasets, but I don't think the add_global_p() has been set up for this. I know that to calculate anova for MI dataset requires the use of mi.anova from the miceadd package and that gtsummary uses the car::anova() function. Does anyone have a solution for this?