STEAD | STanford EArthquake Dataset : A Global Data Set | Machine Learning library

I have this weird problem that I cannot explain

When I run a certain query from a C# application, it returns a different result then when I run it in SSMS, but not when I use parameters

The command is this

As an example imagine a dynamic pricing system which you can ask for offers moving boxes from 1 place to another. Since the price does not exist before you ask for it it's not as simple as retrieving data from some data-base, but an actual search process needs to run.

What I often see in such scenario's is a request/response based endpoint:

I am trying to fetch data with some params with useSWR hook my,until this point everything is going well.

Index.js file

I have a touchscreen, if you dont get the button press timing exactly right on chrome, which is about 50% of the time for everyone, the click() does not register. If you press a button too long it just sort of focusses it (without firing a focus event). If you press a button too quickly, it ignores it as a mistake. So currently the touchscreen is very hard to use.

Althought I say button above, its actually a label for a radio input, but occurs on buttons too.

After diving into problem, I have figured out its not focus events, but the following events that are firing depending on how one presses the button:

Code to print the events:

I am performing an RNA-seq analysis and I need a logical vector, however I am starting from a SimpleLogicalList called hk with 58037 elements, that I obtained from hk <- features.info$symbol %in% house_keeping_genes where features.info is a dataframe and house_keeping_genes is a vector.

After using unlist(hk) 58731 elements are retrieved. Then I realized that there were parts of the list that contained more than two elements (in stead of just FALSE, it contained FALSE FALSE FALSE, thus increasing the length of the result.

Then I just used a unlist(unique(hk)) and most of the unexpected variables were dropped, however there were still 58041 elements in stead of 58037 and I have no idea where are they coming from. I checked and there are no NA being generated.

What could I do to find where those 4 extra elements are coming from?

I have a MVC controller returning Task in a FileUpload function. (I use a Controller in stead of ApiController to make the file upload work properly)

My problem is whenever an exception is thown (for instance a file not being on a white list of allowed file types), my code behaves differently when debugging compared to code on a dev server I have.

My code:

I am using PhpMailer to send emails via gmail smtp. And while $mail->setFrom('jack.schmitt@domain.com','Jack Schmitt'); does insert 'Jack Schmitt' as the name of the sender, it is still including my smtp username. So the recipient will see something like this: Jack Schmitt in the From: line

Is there a way to have it say Jack Schmitt in stead?

I'm trying to pivot to a longer format using dplyr::pivot_longer, but can't seem to get it to do what I want. I can manage with reshape::melt, but I'd also like to be able to achieve the same using pivot_longer.

The data I'm trying to reformat is a correlation matrix of the mtcars-dataset:

I have two dataframes df1 and df2 with the same set of columns. I merged 2 dfs together and want to

1. calculate the score diff for score1 and score2
2. see if the region column is the same.

The desired result would be having 'score1_diff', 'socre2_diff' and 'regional_diff' in the df_final (as shown in the attached picture). I created 'score1_diff', 'score2_diff' and 'regional_diff' columns in the df_final using the codes shown below.

However, in my read dataframe, I have over 30+ score columns and over 10+ region columns, there will be more score columns and region columns being added to the dataframe from time to time. In stead of creating these columns one by one, what would be an efficient or dynamic way to achieve the same result?