I have the following test data frame :
test <- read.table(header = TRUE, text = "
a b c d e
-0.67 -0.02 -0.1 -0.22 -0.32
0.46 -1.51 -0.79 0.26 1.19
0.22 -0.18 -1.4 0.41 -0.32
-2.21 0.79 0.36 1. -0.51
-0.69 0.39 -0.76 -0.73 -0.43
-0.45 -1.33 0.15 -2.23 -0.58
")
In this format, I can easily access the columns using the test$b notation. I can convert this to a time series object without difficulty:
test.ts <- ts(test, frequency=<value>, start=<value>
However, once it's a ts object, is there any easy way to access the columns (or rows) by name instead of by column number? The test.ts object still has the column name information, shown by using colnames:
> colnames(test.ts)
[1] "a" "b" "c" "d" "e"
However, test.ts$b doesn't work. Note that by "easily" I mean without writing something ugly like test.ts[,which(colnames(test.ts)=="b"], because that's not easy, that's ugly. Yes, I could write my own function to do that, but I was wondering whether there's a built-in way to do this.
Use the other subsetting syntax:
test.ts[, 'b']
#Time Series:
#Start = 1
#End = 6
#Frequency = 1
#[1] -0.02 -1.51 -0.18 0.79 0.39 -1.33