mini | functional language focused on data analysis | Data Visualization library

I can't do something so simple and I'm pissed off. I am using bootstrap in Laravel. I need to set it up for mobile. The footer either hovers over the body or stays in the middle of the page. How can I solve this?

For my task I need to convert all logical columns in a table to double. The table is sorted so I want to keep the order of columns.

Here is a mini example:

I'm making this method with multiple parameters: createExportJob (String testId, Long otherId ) to reduce duplicate code. this example of the method should be the minimum amount of parameters the method should use.

I am using an if else statement to convert the values in column X into bins in a new column Y. Code:

I need to implement the below layout for my RecyclerView Items (The picture represents two rows):

This is my XML file:

I created a thread (via a lambda expression) to fetch some data based on user input fields but when I try to click on dropdown menus while it is retrieving data I get the mini progress bar indicator. So is a new thread even being created? What am I doing wrong here?

I'm using gitlab runner on a mac mini server. While using user named "runner" I manage to use this command:

I am using laravel framework to check if it mobile using helper.php, but i get sometimes errors in laravel.log with: Undefined index: HTTP_USER_AGENT

My Code helper.php code:

I am using lmfit for solving a non-linear optimization problem. It works fine to the point where I am trying to implement a measurement error as the standard deviation of the dependent variable y (sigma_y). My problem is, that I cannot interpret the Information criteria properly. When implementing the return (model - y)/(sigma_y) they just raise from really low to very high values.

i.e. [left: return (model - y) -weighting-> right: return (model - y)/(sigma_y)]:

• chi-square 0.00159805 -> 47.3184972
• reduced chi-square 1.7756e-04 -> 5.25761080 expectation value is 1 || SO discussion
• Akaike info crit -93.2055413 -> 20.0490661 the more negative, the better
• Bayesian info crit -92.4097507 -> 20.8448566 the more negative, the better

My guess is, that this is somehow connected to bad usage of lmfit (wrong calculation of Information criteria, bad error scaling) or to a general lack of understanding these criteria (to me reduced chi-square of 5.258 (under-estimated) or 1.776e-4 (over-estimated) sounds like a really poor fit, but the plot of residuals etc. looks okay for me...)

Here is my example code that reproduces the problem: