The function provides a standardised plot output for curve data of an RLum.Analysis S4 class object

```
plot_RLum.Analysis(object, subset = NULL, nrows, ncols, abline = NULL,
combine = FALSE, curve.transformation, plot.single = FALSE, ...)
```

subset

nrows

integer (*optional*):
sets number of rows for plot output, if nothing is set the function
tries to find a value.

ncols

integer (*optional*):
sets number of columns for plot output, if nothing is set the function
tries to find a value.

abline

list (*optional*):
allows to add ablines to the plot. Argument are provided
in a list and will be forwared to the function abline,
e.g., `list(v = c(10, 100))`

adds two vertical lines add 10 and 100 to all
plots. In contrast `list(v = c(10), v = c(100)`

adds a vertical at 10 to
the first and a vertical line at 100 to the 2nd plot.

combine

logical (*with default*):
allows to combine all '>RLum.Data.Curve objects in one single plot.

curve.transformation

character (*optional*):
allows transforming CW-OSL and CW-IRSL curves to pseudo-LM curves via
transformation functions. Allowed values are: `CW2pLM`

, `CW2pLMi`

,
`CW2pHMi`

and `CW2pPMi`

. See details.

plot.single

logical (*with default*):
global par settings are considered, normally this should end in one plot per page

...

further arguments and graphical parameters will be passed to
the `plot`

function.

Supported arguments: `main`

, `mtext`

, `log`

, `lwd`

, `lty`

`type`

, `pch`

, `col`

,
`norm`

, `xlim`

,`ylim`

, `xlab`

, `ylab`

...

and for `combine = TRUE`

also: `sub`

, `legend`

, `legend.text`

, `legend.pos`

(typical plus 'outside'), `legend.col`

, `smooth`

.

All arguments can be provided as `vector`

or `list`

to gain in full control
of all plot settings.

Returns multiple plots.

0.3.11 (2018-10-03 19:36:42)

Kreutzer, S. (2018). plot_RLum.Analysis(): Plot function for an RLum.Analysis S4 class object. Function version 0.3.11. In: Kreutzer, S., Burow, C., Dietze, M., Fuchs, M.C., Schmidt, C., Fischer, M., Friedrich, J. (2018). Luminescence: Comprehensive Luminescence Dating Data Analysis. R package version 0.8.6. https://CRAN.R-project.org/package=Luminescence

The function produces a multiple plot output. A file output is recommended (e.g., pdf).

**curve.transformation**

This argument allows transforming continuous wave (CW) curves to pseudo
(linear) modulated curves. For the transformation, the functions of the
package are used. Currently, it is not possible to pass further arguments to
the transformation functions. The argument works only for `ltype`

`OSL`

and `IRSL`

.

Please note: The curve transformation within this functions works roughly, i.e. every IRSL or OSL curve is transformed, without considerung whether it is measured with the PMT or not! However, for a fast look it might be helpful.

# NOT RUN { ##load data data(ExampleData.BINfileData, envir = environment()) ##convert values for position 1 temp <- Risoe.BINfileData2RLum.Analysis(CWOSL.SAR.Data, pos=1) ##(1) plot (combine) TL curves in one plot plot_RLum.Analysis( temp, subset = list(recordType = "TL"), combine = TRUE, norm = TRUE, abline = list(v = c(110)) ) ##(2) same as example (1) but using ## the argument smooth = TRUE plot_RLum.Analysis( temp, subset = list(recordType = "TL"), combine = TRUE, norm = TRUE, smooth = TRUE, abline = list(v = c(110)) ) # }