How can I use edgeR for comparing a lot of treatments with control with fewer lines of code to avoid error during contrasting?

Question

[biplab]

I am relatively new to R programming. I am using edgeR for differential expression analysis of my RNA-seq data. I have one control and around 25 treatments. I would like to compare contrast control with each treatment pair-wise. Currently I am doing it following way:

c_vs_t1 <- glmLRT(fit, contrast=c(-1,1,0,0,0,0,0,0,0,0,0,0..))

c_vs_t2 <- glmLRT(fit, contrast=c(-1,0,1,0,0,0,0,0,0,0,0,0..))

c_vs_t3 <- glmLRT(fit, contrast=c(-1,0,0,1,0,0,0,0,0,0,0,0..))

c_vs_t4 <- glmLRT(fit, contrast=c(-1,0,0,0,1,0,0,0,0,0,0,0..))

c_vs_t5 <- glmLRT(fit, contrast=c(-1,0,0,0,0,1,0,0,0,0,0,0..))

c_vs_t6 <- glmLRT(fit, contrast=c(-1,0,0,0,0,0,1,0,0,0,0,0..))

Similarly, in order to get get a table with logFC, I need to write around 25 line of similar code again as follow:

t1_logfc <- c_vs_t1$table

t2_logfc <- c_vs_t2$table

so on

How can I do this with few line of code? This might be a coding questions, I am not sure the question is appropriate or not for this site. If it seems inappropriate, I am really sorry for that. I will be really happy if someone can help me with this.

[arta]

You can use for loops. More generally if you want to learn R, there are really nice cheatsheets about data transformation & import, apply functions and so on...