Reputation: 1120
I am so desperated and even I am ready to lose some more rep points but I have to ask it. (Yes, I read some threads about it).
I created a dataframe with only 2 columns I want to put to the matrix (I didn't know how to pick just 2 columns from whole data):
tbl_corel <- tbl_end[,c("diff", "abund_mean")]
In next step I created and empty matrix:
## Creating a empty matrix to check the correlation between diff and abund_mean
mat_corel <- matrix(0, ncol = 2)
colnames(mat_corel) <- c("diff", "abund_mean")
I tried to use that function to fill the matrix with the data:
mat_corel <- matrix(tbl_corel), nrow = 676,ncol = 2)
Of course I had to check manually how many rows I have in my data frame... It doesn't work. Tried that function as well:
mat_corel[ as.matrix(tbl_corel) ] <- 1
It doesn't work. I'd be so grateful for the help.
diff abund_mean
1 0 3444804.80
2 0 847887.02
3 0 93654.19
4 0 721692.76
5 0 382711.04
6 1 428656.66
Upvotes: 0
Views: 2991
Reputation: 49033
If you want to create a matrix from your two-columns data frame, there is a more direct and simpler way : just transform you data frame as a matrix directly :
mat_corel <- as.matrix(tbl_corel)
But if you just want to compute a correlation coefficient, you can do it directly from your data frame :
cor(tbl_end$diff, tbl_end$abund_mean)
Upvotes: 6