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I want to print a message after every 5 iterations in a loop. This works in a base R loop as follows:

I am running an R script to analyze some biological data. Example of the snippet data and script is provided below. This data file has many columns (but I would like to focus on 5th column- Gene). I have more than 100 data files like this (consider 5th Gene column in all files as the column of interest). Currently I am running each file separately in R and the process is tedious. I would like to run a R script for all data files simultaneously and save all the data in different folder as per the file name. Is it possible to loop or iterate and analyze all the data files at once in a script. Please assist me with this.

Thank you,

Toufiq

Formatted question and Revised dataframe

Inserted: Names of the files to be read

I'm facing some issues while running pyiron jobs on my HPC via the pysqa adapter. I had accidentally erased the main pyiron directory containing pyiron, projects and resources folders. I had copied all the three from another cluster. The only thing that I think will cause problem is sqlite.db file in the resources folder. Previously, I had no issues running interactive VASP jobs through the adapter. I'm guessing something happened after the deletion incident.

The pyiron version I'm using is: 0.2.17

Here is a minimal example using an Interactive vasp job that I have tried:

Pixel 3XL could not install app via adb but could using AS run to install the app I use the command line to install the apk and it said it is successfuly. But I could not see the icon in the launcher. Plus, when I try to list the installed apk, it is not in the list.

I have a function that creates a large mask (boolean arrays). I want to call this function several times and create a total mask of the same shape that is True at indices that are True in any of the individual masks.

Since the calculation of the masks takes much time I have parallelized it but the function consumes a lot of memory now because I am first creating all individual masks and then combining them, which means that I have to store all ~40.000 individual masks. Is there a possibility to directly add the returned individual masks to a total mask before calculating the next mask using multiprocessing?

This is an example code for the problem:

I am having an issue with my attempt in speeding up the computation of my program. In the serialized python version of my code, I'm computing the values of a function f(x), which returns a float, for sliding windows of the NumPy array as can be seen below:

I'm trying to running parallel computing in R with below lines

I'm learning Flutter and I've just setup Android Studio. I'm following this tutorial by Net Ninja. I'm at the point where I'm trying to run my Android Emulator, but it says even though I've made a virtual device. I've been trying to debug to no avail.

Here is my virtual device details:

I am looking for a simple way (2 or 3 lines of code) to generate a Phi(k) correlation matrix in Python. That should be possible since pandas_profiling is doing it, and it works fine. But I want to be able to do it without pandas_profiling which is too heavy and computes things I don't need.

pandas_profiling is using phik library. I tried phik library (didn't find anything else)

I don't understand the error I got : TypeError: sequence item 0: expected str instance, int found

I have no int in my dataframe.

Seems like a bug in phik, but then how does pandas profiling do, since it's using it too ?

What's happening here ? Many thanks

I have this code :