SOLVED
pheno_vector = c("PAX5+PDL1-", "CD3+CD8+PD1-", "CD3+CD8-PD1+")
n = length(pheno_vector)
for (i in 1:(n-1)){
for (j in (i+1):n){
pheno1 = pheno_vector[i]
pheno2 = pheno_vector[j]
pairs = list(c(pheno1, pheno2))
colors = c("cyan", "magenta")
names(colors) = c(pheno1,pheno2)
print(colors)
produces
PAX5+PDL1- CD3+CD8+PD1-
"cyan" "magenta"
PAX5+PDL1- CD3+CD8-PD1+
"cyan" "magenta"
CD3+CD8+PD1- CD3+CD8-PD1+
"cyan" "magenta"
I have a problem with creating a named list, in which the names should be able to iteratively change, but should be pasted for visual plotting.
I am working with data from Vectra Imaging, involving phenotypes of cells.
As there are multiple phenotypes, i want to iteratively make pairs of phenotypes to visually make plots as shown in the example in https://rdrr.io/github/PerkinElmer/phenoptr/man/spatial_distribution_report.html
Currently my code adapted to my data looks like this
pheno1 = "PAX5+PDL1-"
pheno2 = "CD3+CD8+PD1-"
pairs = list(c("PAX5+PDL1-", "CD3+CD8+PD1-"))
colors = c('PAX5+PDL1-'="cyan", 'CD3+CD8+PD1-'="magenta")
colors
This returns
> PAX5+PDL1- CD3+CD8+PD1-
> "cyan" "magenta"
The pairs and colors is used to make the plots. Now I want to iteratively make plots for more pairs of phenotypes that I have in the data. In the end I'd like to for-loop over pheno1 and for-loop over pheno2 obtained from a general phenotypes-vector pheno_vector which contains .
What I tried is
pheno1 = "PAX5+PDL1-"
pheno2 = "CD3+CD8+PD1-"
pairs = list(c(pheno1, pheno2))
colors = c(pheno1="cyan", pheno2="magenta")
colors
Which returns
> pheno1 pheno2
> "cyan" "magenta"
I understand why I see pheno1 and pheno2, and not "PAX5+PDL1-" and "CD3+CD8+PD1-". I tried some paste and eval methods as in Create a variable name with "paste" in R? but that did not work out.
Assign("PAX5+PDL1-", "cyan")
does not work out as I don't know how to make it into a named list then.
In the end I'd like to have this as a result
pheno_vector = c("PAX5+PDL1-", "CD3+CD8+PD1-", "CD3+CD8-PD1+")
for (pheno1 in pheno_vector){
for (pheno2 in pheno_vector){
if (uniqueness_statement and permutation_statement){
pairs = list(c(pheno1, pheno2))
colors = c(pheno1="cyan", pheno2="magenta")
colors
Which should return
> PAX5+PDL1- CD3+CD8+PD1-
> "cyan" "magenta"
> PAX5+PDL1- CD3+CD8-PD1+
> "cyan" "magenta"
> CD3+CD8+PD1- CD3+CD8-PD1+
> "cyan" "magenta"
So these are specifically named lists, which they need to be for later plotting.
Doe anyone have a solution for this?
You could name the colors
-vector once it is created:
library(gtools)
pheno_perms <- permutations(length(pheno_vector), 2, pheno_vector)
combs <- apply(apply(pheno_perms, 1, sort), 2, paste0, collapse=' ')
pheno_perms <- pheno_perms[match(unique(combs), combs), ]
for (i in 1:nrow(pheno_perms)){
pheno1 <- pheno_perms[i, 1]
pheno2 <- pheno_perms[i, 2]
pairs = list(c(pheno1, pheno2))
colors = c("cyan", "magenta")
names(colors) <- c(pheno1, pheno2)
print(colors)
}
This produces:
CD3+CD8-PD1+ CD3+CD8+PD1-
"cyan" "magenta"
CD3+CD8-PD1+ PAX5+PDL1-
"cyan" "magenta"
CD3+CD8+PD1- PAX5+PDL1-
"cyan" "magenta"
P.S.: I hope I interpret correctly what you mean by uniqueness_statement
and permutation_statement
!