seurat | R toolkit for single cell genomics | Genomics library

I have build a singularity container based on r-base image and installing custom libraries like Seurat. Now I am trying to run my .Rmd script as follows:

I want to find products and for each product attach deals to it. A deal is a product from same collection, yet based on some common properties. So as per my requirement pipeline should return documents, for each document find other products those aren't same as current, but have equal detail.duration. But even though I've many docs with same duration, deals are always []. Could you please figure out the issue with my pipeline?

Following is the aggregation pipeline I'm running: I've added filter _id $in just for clarity based on shown documents below. This isn't a part of real pipeline $match query.

I am trying to update Rcpp from 1.0.6 to 1.0.7 or 1.0.8. The Rcpp update is essential for a primary R library that I intend to use.

I looked at the documentation and tried to install Rcpp using:

I'm trying to delete the first 7 characters of each string in a set of strings. I've been following akrun's wonderful answer here (how to add a character to a string in R). This is the command I've been using but it's returning an error:

I've been trying to randomly subsample my seurat object. I'm interested in subsampling based on 2 columns: condition and cell type. I have 5 conditions and 5 cell types. Main goal is to have 1000 cells for each cell type in each condition. I've tried this so far:

First thing is subsetting my seurat object:

I was just wondering if anybody had any experience with coloring something like a UMAP made in ggplot based on the expression of multiple genes at the same time? What I want to do is something like the blend function in Seurat featureplots, but with 3 genes / colors instead of 2.

I'm looking to make something like this:

Where the colors for the genes combine where there is overlap.

What I've gotten to so far is

I'm trying to subset a Seurat object (called dNSC_cells) based on counts of genes of interest. Specifically, I have a list of genes and I plan on looping through them to subset my data and do some Wilcox tests. What I have so far looks like this:

As far as I can find, there is only one tutorial about loading Seurat objects into WGCNA (https://ucdavis-bioinformatics-training.github.io/2019-single-cell-RNA-sequencing-Workshop-UCD_UCSF/scrnaseq_analysis/scRNA_Workshop-PART6.html). I am really new to programming so it's probably just my inexperience, but I am not sure how to load my Seurat object into a format that works with WGCNA's tutorials (https://horvath.genetics.ucla.edu/html/CoexpressionNetwork/Rpackages/WGCNA/Tutorials/).

Here is what I have tried thus far:

This tries to replicate datExpr and datTraits from part I.1:

Currently I am trying to read a rds-file inside of a module. I am using the golem package. This is my code right now and I don't know how to fix this.

Goal: Once the rds-file is uploaded the conditionalPanel() should appear.

Problem: Reading the file fails

app_ui.R