How to perfom analysis in big tables in R

Question

I am trying to see if the use of different habitats has an effect in the infestation level in a certain host population. Therefore, my dependent variable is Parasitation, with the value "0" if the individual wasn't parasitized and "1" if it was, and my response variable is Habitat ("Bamboo", "Open", "Rhododendron"). I also have the covariable "Year" (the samples were different from year to year). I consulted The R book" by Michael J Crawley and saw that, for my case, the best would be to perform a contingency table analysis (Chapter 15), using a glm with poisson distribution. For my despair, I am not being able to correctly import/ build the contingency table in R, becasuse it isn't 2 by 2. I tried to build this in excel and saved it as a csv and also as a txt. But I am falling to correclty import the table. I would like R to read the table as in the image enter image description here

I used this code

ct2 <- read.csv("C:\\Users\\Asus R541u\\Desktop\\Master Thesis\\R3\\Habitatuse\\Ct.csv", header = T, sep = ",")

and obtained this enter image description here

I tried other codes, but they didn't worked aswell. Can you please tell me how to correctly import the table form the first image? Or if there is a way for R to read this as a matrix or something that I can actually perform the analysis?