View source: R/rTEM_summarize.R
relabel_summarize | R Documentation |
takes an input binary point pattern, randomly relabels it while maintainig the
same ratio of marks, and calculates summary functions. Can then use average_relabelings
to find averages and envelopes
relabel_summarize(
seed,
pattern,
funcs = c("K", "G", "F", "GXGH"),
dopant_formula,
host_formula,
k = 1,
maxKr = 10,
nKr = 200,
maxGr = 5,
nGr = 1000,
maxGXGHr = 3,
maxGXHGr = 8,
nGXr = 1000,
vside = 0.3,
K_cor = "trans",
G_cor = "km",
F_cor = "km",
GXGH_cor = "km",
GXHG_cor = "km",
G2_cor = "km"
)
seed |
number to use in 'set.seed' for reproducibility |
pattern |
point pattern of type ppp or pp3 |
funcs |
vector of summary functions to calculate |
dopant_formula |
mark of points from which to calculate summary functions |
host_formula |
marks of points to not use in summary functions (except cross type functions) |
maxKr |
a numeric |
nKr |
a numeric |
maxGr |
a numeric |
nGr |
a numeric |
maxGXGHr |
a numeric |
maxGXHGr |
a numeric |
nGXr |
a numeric |
K_cor |
edge correction(s) to be used for K function |
G_cor |
edge correction(s) to be used for G function |
F_cor |
edge correction(s) to be used for F function |
GXGH_cor |
edge correction(s) to be used for GXGH function |
GXHG_cor |
edge correction(s) to be used for GXHG function |
summary functions listed in 'funcs' variable
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