CIGAR

I am using a multi-file setup so I have both ui.r and server.r files. I am using the dataset below (small sample) which looks at UFO sightings in different states/provinces in U.S./Canada in 2016.

I'd like for a user who starts the application for the first time on a device to be able to access GPS data in that session. Currently, the user must close and then restart the application after providing location permission for the location data to show in the application. I have tried a variety of methods to resolve this. Most recently, I have moved requestPermission into Fragment1 which is also where locationManager is located.

I have a string that is a list of IP addresses and an important number.

I'm trying to parse the string, such that it only includes the IP address. Or better yet, create multiple strings depending on how many IP addresses are denoted.

I feel like I'm close, but no cigar.

Input:

$str = "[11.22.33.44]-30,[55.66.77.88]-30"

Expected Output:

I am trying to iterate through a pandas dataframe to create filter conditions and below is my code which works fine:-

I run a regression model for two different models using the purrr package. The first model is "sales + cpi" and the second model is "sales + ndi". The dependent variable for both models is price. The code below show how i run the regressions of these two models across three different regions.

My question is how can I add coeftest() as a second step in the loop. This means that I would add coeftest() for each regression across the three regions. I show in the second step how to do it for one model.

I tried to include coeftest() using map2() in purrr package but I couldn't integrate it in the loop function. Could someone help?

In the first step below I show how to run the multiple regressions across regions:

First, i run a regression model. Then, i extract robust standard errors. However, i am not sure how to extract the confidence interval afterwards, coeftest() seems to include only the standard errors. Is there a way to do it automatically?

Here is the reproducible data and code:

I have two files

File_A.txt

below is the code that I do pagination in Azure Cosmos. In that function I return the ContinuationToken of the FeedResponse. The first request to get the first page is fine and it return the Continuation Token. However if I used that token in the next request then the API return error 500.

I also notice that the ContinuationToken return from FeedRespone seem like in Json format like that. I have tried to get the token section only, or even copy the whole json but no cigar though

"nextToken": "[{"token":"+RID:~UVURALkfIb4FAAAAAAAAAA==#RT:1#TRC:3#RTD:hCgamV5sp6dv/pVR3z0oBTMxMzIuMTQuNDFVMTY7MjY7NDIvOTk3MzIxMlsA#ISV:2#IEO:65567#QCF:1#FPC:AQEAAAAAAAAACAAAAAAAAAA=","range":{"min":"","max":"FF"}}]"

Response from the First Page with Token return Enter Return Token to next request and error 500

Function Code

1. I have below json response array which I am getting into Jmeter Regular expression extractor variable C_Totalresponse.

2. In this I have cartItems JSON object.

3. In the cartItems JSON object, we have different SKUs and corresponding quantities.

4. I'm using a hashmap to read values from a CSV file and update quantity details for each SKU, but my script is failing at fetching response into array in Jmeter.

5. I'm sharing the Jmeter code and error I faced while parsing JSON array at the end

I see many post suggesting groovy I am not sure how to use it for huge response like this