Colour coding:
# comments
> user commands
1) EITHER: Download the tar file R.all.tar.
To untar the file under UNIX/LINUX,
type at the UNIX/LINUX prompt:
tar -xvf R.all.tar
(this creates the directory "Rgamcode" containing all the code and data).
ALTERNATIVELY: download each function one by one into the desired directory.
This will work under any platform.
2) Start R from working directory Rgamcode.
Type
>source("startup.func")
> startup.func()
This reads all relevant functions into R.
Read in the example data set with:
> cb <- read.table("cb", header=T)
All objects can now be removed from the working directory if required.
3) Demonstration analysis on the data set cb.
Enter the following commands:
> library(mgcv)
# (needed every session to attach the mgcv library)
# If you get an error, read the instructions here about
installing the library mgcv.
> indcb <- indsp.func(cb, c(4, 7, 10, 15, 20, 33)) # (calculates index curve for a variety of df)
> cb.bootind.119.10 <- outer.boot.func(cb, 10, 119, "cb.bootind.119.10")
> # (this is the bootstrapping: might take a minute or two for 119 replicates)
> sp.plot("cb", 10, cb.bootind.119.10, 1, 6, 1, conf=0.95)
The other functions were all used invisibly in the demonstration.