FLU | multiuser interactive installation | Runtime Evironment library

On this page a SIR model in R is shown, https://rstudio-pubs-static.s3.amazonaws.com/382648_93783f69a2fd4df98ade8751c21abbad.html, the solution of it and the optimization of the $\beta$ and $\gamma$ parameter is also executed. (see below)

In this code both $\beta$ and $\gamma$ are assumed to be constant over the whole time. What I want is to to have a time varying beta, it does not need to change each day, we have fourteen days of data, it would suffice if it would change after seven days, i.e we have $\beta_1$ for days[0:6] and $\beta_2$ for days[7:13] and then do the optimization algorithm like below for both, i.e. in the end I want to receive a vector for the optimal values of (\beta_1, \beta_2, \gamma) whereas gamma stayed constant the whole time. Would it be possible with a modification of the code given? If yes could someone help how to modify it to receive the desired output.

This is most likely a very simple question but I'll ask it nevertheless since I haven't found an answer. How can I compare the amount of "cases" (for example flu) in two groups i.e. find out if the difference between the amounts of cases in the groups is statistically significant? Can I apply some sort of t-test? Or is it even meaningful to do this kind of a comparison?

I'd preferably do the comparison in R.

A very simple data example:

I am trying to filter out words in my list of strings that are equal to 1 characters or 2 characters. Here is my sample data -

I have a dataframe with two columns, the first are names of organisms and the second is there sequence which is a string of letters. I am trying to create an algorithm to see if an organism's sequence is in a string of a larger genome also comprised of letters. If it is in the genome, I want to add the name of the organism to a list. So for example if flu is in the genome below I want flu to be added to a list.

I am working with a data set of text and I am trying to use str_extract() to detect a list of side effects from my data set text. It works well as long as the side effect is one word (i.e. 'headache') but if it is multiple words it is not detected by str_extract() (i.e. "flu like"). I will include my code below:

I want to create a dynamic user interface. I want nothing to be displayed when I select "Total", not even an empty frame. I want something to be displayed only when I select "Cancer" or " without cancer".

I was developing a Flutter app using the stable channel, in Android Studio, now I upgraded Flutter Plugin to 53 and now when I try to run my app I receive this error

I have a bit of a puzzle. I want to make certain date slots for every participant in my dataset to get an appointment. I have a date range that goes from 14 days until a flu shot up until the flu shot. So if the flu shot is schedule for the 29th of April 2021, the appointment can take place from the 15th of April until the 28th of April 2021. The flu shot dates of course vary per participant. Per date, there is a maximum amount of participants per appointment (let's say 8 participants per date). I managed (with help from you guys) to create a dataframe with all the dates that an appointment is possible per participant:

Each row is for one participant

What I need from this dataframe is to check that if the first possible date occurs 8 times or less (slot is not filled yet), place that date in a new column. Then, when the slot of 8 for that date is filled, continue to the next date until that reaches the maximum of 8 again, etc etc

The outcome should then be an additional column with the date of the appointment for every participant.

I hope i tried to make this clear enough but otherwise let me know. I have been breaking my brain over this because I don't even know if this is the best way to do it so ANY help is greatly appreciated.

Thanks a lot!

I am using a online dataset for global life expectancy and I am trying to find the max and min number in the life_expectancy column.

Here is the dataset: https://ourworldindata.org/spanish-flu-largest-influenza-pandemic-in-history

This is what I have after trying math equations and max() and min() as suggested in other posts.