read.distributional | R Documentation |
Reads a data table containing distributional data, i.e. lists of continuous data such as detrital zircon U-Pb ages.
read.distributional(
fname,
errorfile = NA,
method = "KS",
xlab = "age [Ma]",
colmap = "rainbow",
sep = ",",
dec = ".",
header = TRUE,
check.names = FALSE,
...
)
fname |
the path of a .csv file with the input data, arranged in columns. |
errorfile |
the (optional) path of a .csv file with the
standard errors of the input data, arranged by column in the
same order as |
method |
an optional string specifying the dissimilarity
measure which should be used for comparing this with other
datasets. Should be one of either |
xlab |
an optional string specifying the nature and units of the data. This string is used to label kernel density estimates. |
colmap |
an optional string with the name of one of R's built-in colour palettes (e.g., heat.colors, terrain.colors, topo.colors, cm.colors), which are to be used for plotting the data. |
sep |
the field separator character. Values on each line of the file are separated by this character. |
dec |
the character used in the file for decimal points. |
header |
a logical value indicating whether the file contains the names of the variables as its first line. |
check.names |
logical. If |
... |
optional arguments to the built-in |
an object of class distributional
, i.e. a list with
the following items:
x
: a named list of vectors containing the numerical data for
each sample
err
: an (optional) named list of vectors containing the
standard errors of x
method
: either "KS" (for Kolmogorov-Smirnov), "Kuiper" (for
the Kuiper statistic) or "SH" (for Sircombe Hazelton)
breaks
: a vector with the locations of the histogram bin edges
xlab
: a string containing the label to be given to the
x-axis on all plots
colmap
: the colour map provided by the input argument
name
: the name of the data object, extracted from the file path
agefile <- system.file("Namib/DZ.csv",package="provenance")
errfile <- system.file("Namib/DZerr.csv",package="provenance")
DZ <- read.distributional(agefile,errfile)
plot(KDE(DZ$x$N1))
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