NLayer | MPEG Decoder for Layers | Audio Utils library

I have a RasterBrick containing precipitation variable from TRMM (TMPA/3B43) Rainfall Estimate L3 1 month 0.25 degree x 0.25 degree V7 (TRMM_3B43. Extract from data is in the tif file.

This RasterBrick was generated from a NETCDF file using the following code

I'm trying to modify the colors within my .tif. I've uploaded a file here.

Reading it in and quickly looking at it seems like all the information is there.

I am working with two rasters stacks: bioclim (climate data) and soil data. They have different resolution. The description of data:

New to R:
I have a raster brick that is holding 5 raster layers. How do I break this brick so each layer can be assigned to its own object and I can manipulate each individually?
Here is the info for the brick in case that helps.

This is my first time posting here, so apologies in advance if there are any issues with my question or reproducible example. I've checked similar questions and their answers, but haven't been able to figure out where I'm going wrong here.

I have a raster brick of binary response variables that I am using in a set of logistic regressions. I have written a for loop to run each model and save the results to a list. When I test the code for one iteration (i.e., setting i=1), the model output is saved to the list as expected. However, when I run the loop, I end up with a null object.

Create simplified data for an example where r1 is the predictor variable and r2, r3 and r4 are response variables:

I have two raster in brick format, as a result of previous operations, they have the same characteristics. When I try to make a simple subtraction between the two, it gives me a constant in all my study area. when I do other operations like multiply, add or divide it works perfectly, but not with subtraction. Anyone have any idea what might be happening?

reading the previous queries I have tried replacing NA values, with different raster formats and nothing. the input values of the subtraction are obtained by different functions.

I want to create subsets of raster stacks and write them as new stacks when the difference between the previous layer and the next layer is all NA following each clump of the raster layers. Without clumps, I would achieve this by following Robert's answer in this question ( as below in script). However, I want to run this by considering the clumps too. There may be 1 or 2 clumps in each layer. So starting from layer 1 in the example data stack below, I want to identify the clumps numbers and for each clump, create a subset of raster stacks until there are no-overlapping pixels between the previous and next layers (i.e., the difference between the two layers is all NA). So I want is; starting from layer 1, for each clump, retain all the layers that have at least 1 common pixel between the previous and next layer, write them as a 1 stack, and move to the next. In the sample r_stk, I want to retain layers 1:8 for clump 1 (top) assign them as 1 stack, run for clump 2 (bottom), and again retain layers 1:5 assign them as a new stack, and so on. Below are the sample data and code that would work fine following this answer if there would be no clumps.

I want to create subsets of raster stacks and write them as new stacks when the difference between the previous layer and the next layer is all NA. I.e., starting from layer 1, I want to create a subset of raster stacks until there are no-overlapping pixels between the previous and next layers (i.e., the difference between the two layers is all NA) So I want is; starting from layer 1, retain all the layers that have at least 1 common pixel between the previous and next layer, write them as a 1 stack, and move to the next. Below are a sample data and unsuccessful for-loop. In this example, I want to retain layers 1:8, name and write them and start again from layer 9 and so on.

I want to embed a nnv render in flask but my code semms to not be rendering the neural-network diagram.

My code: