# To access the tsdl library in R, type the following commands:

install.packages("devtools")  # this takes a while to install all the dependency packages...

devtools::install_github("FinYang/tsdl")  # installs the 'tsdl' package.

library(tsdl) # loads the 'tsdl' package after it has been installed.

### If the above code doesn't work for you, try this:
### UPDATE (Fall 2023):  This second approach seemed MUCH quicker and easier for me.  Try this way first:

install.packages("remotes")
remotes::install_github("FinYang/tsdl")
library(tsdl)

###

help(package='tsdl') # opens a help file for the 'tsdl' package.

tsdl  #gives a summary of the available time series data sets in 'tsdl'

meta_tsdl$subject # A vector listing the subjects of each of the 648 data sets in 'tsdl'

meta_tsdl$description  # short descriptions of all the data sets in 'tsdl'

# To get the description of just one of the data sets (say, the first), type:

meta_tsdl$description[[1]]

meta_tsdl$source # the sources of all the data sets in 'tsdl'

meta_tsdl$frequency  # A vector listing the frequencies of all the data sets in 'tsdl'

meta_tsdl$frequency[1] # The frequency of the first data set in 'tsdl'

meta_tsdl$start  # A vector listing the starting times of all the data sets in 'tsdl'

# To save one of the tsdl data sets (say the first data set of the 648 data sets), you could do a command like:

Iowa.ts <- tsdl[[1]]

# All the 'tsdl' data sets are already ts objects, so 'Iowa.ts' would already be a 'ts' object ready for analysis.