methods_RLum: methods_RLum

Description

Methods for S3-generics implemented for the package 'Luminescence'. This document summarises all implemented S3-generics. The name of the function is given before the first dot, after the dot the name of the object that is supported by this method is given, e.g. plot.RLum.Data.Curve can be called by plot(object, ...), where object is the RLum.Data.Curve object.

Usage

# S3 method for list
plot(x, y, ...)
# S3 method for RLum.Results
plot(x, y, ...)
# S3 method for RLum.Analysis
plot(x, y, ...)
# S3 method for RLum.Data.Curve
plot(x, y, ...)
# S3 method for RLum.Data.Spectrum
plot(x, y, ...)
# S3 method for RLum.Data.Image
plot(x, y, ...)
# S3 method for Risoe.BINfileData
plot(x, y, ...)
# S3 method for RLum.Results
hist(x, ...)
# S3 method for RLum.Data.Image
hist(x, ...)
# S3 method for RLum.Data.Curve
hist(x, ...)
# S3 method for RLum.Analysis
hist(x, ...)
# S3 method for RLum.Results
summary(object, ...)
# S3 method for RLum.Analysis
summary(object, ...)
# S3 method for RLum.Data.Image
summary(object, ...)
# S3 method for RLum.Data.Curve
summary(object, ...)
# S3 method for Risoe.BINfileData
subset(x, subset, records.rm = TRUE, ...)
# S3 method for RLum.Analysis
subset(x, subset = NULL, ...)
bin(x, ...)
# S3 method for RLum.Data.Curve
bin(x, bin_size = 2, ...)
# S3 method for RLum.Data.Spectrum
bin(x, bin_size.row = 1, bin_size.col = 1, ...)
# S3 method for RLum.Results
length(x, ...)
# S3 method for RLum.Analysis
length(x, ...)
# S3 method for RLum.Data.Curve
length(x, ...)
# S3 method for Risoe.BINfileData
length(x, ...)
# S3 method for RLum.Data.Curve
dim(x)
# S3 method for RLum.Data.Spectrum
dim(x)
# S3 method for RLum
rep(x, ...)
# S3 method for RLum.Data.Curve
names(x, ...)
# S3 method for RLum.Data.Spectrum
names(x, ...)
# S3 method for RLum.Data.Image
names(x, ...)
# S3 method for RLum.Analysis
names(x, ...)
# S3 method for RLum.Results
names(x, ...)
# S3 method for Risoe.BINfileData
names(x)
# S3 method for RLum.Data.Spectrum
row.names(x, ...)
# S3 method for RLum.Data.Curve
as.data.frame(x, row.names = NULL, optional = FALSE, ...)
# S3 method for RLum.Data.Spectrum
as.data.frame(x, row.names = NULL, optional = FALSE, ...)
# S3 method for Risoe.BINfileData
as.data.frame(x, row.names = NULL, optional = FALSE, ...)
# S3 method for RLum.Results
as.list(x, ...)
# S3 method for RLum.Data.Curve
as.list(x, ...)
# S3 method for RLum.Data.Image
as.list(x, ...)
# S3 method for RLum.Analysis
as.list(x, ...)
# S3 method for RLum.Data.Curve
as.matrix(x, ...)
# S3 method for RLum.Data.Spectrum
as.matrix(x, ...)
# S3 method for RLum.Data.Image
as.matrix(x, ...)
is.RLum(x, ...)
is.RLum.Data(x, ...)
is.RLum.Data.Curve(x, ...)
is.RLum.Data.Spectrum(x, ...)
is.RLum.Data.Image(x, ...)
is.RLum.Analysis(x, ...)
is.RLum.Results(x, ...)
# S3 method for RLum
merge(x, y, ...)
# S3 method for RLum.Analysis
unlist(x, recursive = TRUE, ...)
# S3 method for RLum.Data.Curve
+(x, y)
# S3 method for RLum.Data.Curve
-(x, y)
# S3 method for RLum.Data.Curve
*(x, y)
# S3 method for RLum.Data.Curve
/(x, y)
# S3 method for RLum.Data.Curve
[(x, y, z, drop = TRUE)
# S3 method for RLum.Data.Spectrum
[(x, y, z, drop = TRUE)
# S3 method for RLum.Data.Image
[(x, y, z, drop = TRUE)
# S3 method for RLum.Analysis
[(x, i, drop = FALSE)
# S3 method for RLum.Results
[(x, i, drop = TRUE)
# S3 method for RLum.Data.Curve
[(x, i, j) <- value
# S3 method for RLum.Analysis
[[(x, i)
# S3 method for RLum.Results
[[(x, i)
# S3 method for RLum.Data.Curve
$(x, i)
# S3 method for RLum.Analysis
$(x, i)
# S3 method for RLum.Results
$(x, i)

Arguments

x: RLum or Risoe.BINfileData (required): input object
y: integer (optional): the row index of the matrix, data.frame
...: further arguments that can be passed to the method
object: RLum (required): input object
subset: [subset] expression (required): logical expression indicating elements or rows to keep, this function works in Risoe.BINfileData objects like subset.data.frame, but takes care of the object structure. Works also on RLum.Analysis objects.
records.rm: subset logical (with default): remove records from data set, can be disabled, to just set the column SET to TRUE or FALSE
row.names: logical (with default): enables or disables row names (as.data.frame)
optional: logical (with default): logical. If TRUE, setting row names and converting column names (to syntactic names: see make.names) is optional (see base::as.data.frame)
recursive: logical (with default): enables or disables further sub-setting (unlist)
z: integer (optional): the column index of the matrix, data.frame
drop: logical (with default): keep object structure or drop it
i: character (optional): name of the wanted record type or data object or row in the RLum.Data.Curve object
j: integer (optional): column of the data matrix in the RLum.Data.Curve object
value: numeric (required): numeric value which replace the value in the RLum.Data.Curve object

Details

The term S3-generics sounds complicated, however, it just means that something has been implemented in the package to increase the usability for users new in R and who are not familiar with the underlying RLum-object structure of the package. The practical outcome is that operations and functions presented in standard books on R can be used without knowing the specifics of the R package 'Luminescence'. For examples see the example section.

Examples

Run this code


##load example data
data(ExampleData.RLum.Analysis, envir = environment())


##combine curve is various ways
curve1 <- IRSAR.RF.Data[[1]]
curve2 <-  IRSAR.RF.Data[[1]]
curve1 + curve2
curve1 - curve2
curve1 / curve2
curve1 * curve2


##`$` access curves
IRSAR.RF.Data$RF

Run the code above in your browser using DataLab