set.data {BBEST} | R Documentation |
Set data
Description
The function sets key parameters necessary for the fit, such as sigma
, lambda
and SB
Usage
set.data(x, y, sigma=NA, lambda=NA, SB=NA)
Arguments
x |
numeric vector, specifies grid points. |
y |
numeric vector, specifies function values. |
sigma |
numeric vector, if not |
lambda |
numeric vector, if not |
SB |
numeric vector, if not |
Details
One way (not the simplest) to prepare experimental data for the fit. This function returns a list of the above parameters – an object of type data
. Objects of that type are used as arguments for some functions implemented in the package. In most cases only the elements x
and y
are required in the object data
. However, all 5 elements (and one optional, see set.Gr
) must be specified to execute the fit, i.e. prior to the do.fit
call.
The object of that type can also be created via read.data
, read.sqa
and read.sqb
. Parameters "sigma", "lamdba" and "SB" can be determined automatically, see set data
keyword.
The general recipe for setting an object data
is the following. If vectors x
and y
are stored in the text file, use read.data
. If they are stored in a .sqb
-file, call read.sqb
. If they are stored in the memory, use set.data
. Then use functions set.sigma
, set.lambda
, and set.SB
) to specify the remaining parameters.
Value
A list with elements
x |
numeric vector, specifies gridpoints. |
y |
numeric vector, specifies function values. |
sigma |
numeric vector, specifies estimated noise. |
lambda |
numeric vector, specifies estimated mean signal magnitude. |
SB |
numeric vector, specifies estimated coherent baseline. |