Description Usage Arguments Value Examples
align_xy.multiXY
takes a multiXY object and aligns
each of the XY data frames within it to a given standard.
An optimisation routine is used that computes a suitable
linear shift. After all samples have been aligned,
the function harmonises the data to a single 2theta scale.
1 2 |
x |
a |
std |
a dataframe of the chosen standard that each sample will be aligned to (column 1 = 2theta, column 2 = counts) |
xmin |
the minimum 2theta value used during alignment |
xmax |
the maximum 2theta value used during alignment |
xshift |
the maximum (positive and negative) 2theta shift that is allowed during alignment |
... |
other arguments |
a multiXY
object.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 | # Load soils xrd data
data(soils)
#Load minerals library
data(minerals)
## Not run:
#Create a standard quartz pattern to align to
quartz <- data.frame(tth = minerals$tth,
counts = minerals$xrd$QUA.1)
#Plot the main quartz peak prior to alignment
plot(soils, wavelength = "Cu",
xlim = c(26,27),
normalise = TRUE)
#align data
aligned <- align_xy(soils,
std = quartz,
xmin = 10,
xmax = 60,
xshift = 0.2)
#replot data
plot(aligned, wavelength = "Cu",
xlim = c(26,27),
normalise = TRUE)
## End(Not run)
|
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