fmi | FMI weather observation and forecast fetcher | Predictive Analytics library

I want to convert the below dataframe into the json formation as mentioned:

Dataframe:

Desired Ouput:

I have imputed data saved as a mids object and am trying to adapt my usual workflow around imputed data. However, I cannot figure out how to use sjPlot's tab_corr() and tab_df() and psych's describe on a mids object.

My goal is to generate a table of descriptive statistics and a correlation matrix without averaging the imputed datasets together. I was able to generate correlations using miceadds::micombine.cor, but the output isn't formatted like a typical correlation matrix. I also can individually compute means, SDs, etc. of variables from the mids object, but I'm looking for something that will generate a table.

I am doing Dynamic Web Project using JPA in Java 17. I have a class called UserEntity. In the first page I have a register button, which has the following functionality:

I have a Flask application using Celery, and the async processing works fine when the app is running locally. However, when I try to test (pytest) a route that uses Celery tasks, I get this error:

I'm new with Laravel, not sure of this one.

I'try to retrieve this token from a FileMaker API in my Laravel app. In order to obtain it, I use a custom authentication service in my AuthServiceProvider with the Auth::viaRequest method. The request inside the method is quit simple. It's just a basic auth POST request to the api url. The API is supposed to send me back a token.

Nevertheless, when I log() the request, I get a "bad request" error 400 and a code 960 error (probably from the FileMaker API). The 960 error returns

'undefined': Expected type object but found type array

I'dont get what is wrong, when I do a simple GET request in the viaRequest method it works and, when I test the POST request in Postman, it also works. I've compared the request's headers in both systems (Laravel and Postman), the parameters of the request are identical...

Here is the service provider code:

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 had some success in deploying my machine learning model (already trained) in a simulation environment (OpenModelica, in this context) via an external C-function.

However, to standardise the process, I am aiming to use the FMI standard instead of the external C-function. Therefore I need to wrap my ML model as an FMU.

Is there any way that I can do that? I read about PyFMI, however, it seems that it only controls the Co-simulation in a Python environment, instead of wrapping your ML model as an FMU.

The goal is to produce FMU from a trained ML model, and then deploy this FMU in a simulation environment (OpenModelica, for example). Any help will be very much appreciated.

Thanks

I am new in typesense, I create one schema for the geoloc in typesense.

Schema

I'm building a SAE J1939 library for embedded systems such as Arduino, STM32, AVR etc.

But I have an issue I don't understand. First when I compile. No error! But when I run, I get this assembler error. It's all about the J1939 struct.

Why does this happen? Is the heap to small?

Can't find a source file at "C:\mingw810\i686-810-posix-dwarf-rt_v6-rev0\build\gcc-8.1.0\i686-w64-mingw32\libgcc/../../../../../src/gcc-8.1.0/libgcc/config/i386/cygwin.S" Locate the file or edit the source lookup path to include its location.

Run this code below to reproduce the error: