Description Usage Arguments Examples
Vectorized getters for public Rmonad fields
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 31 32 33 34 35 36 37 38 39 | get_parents(m, index = .get_ids(m), tag = NULL)
get_dependents(m, index = .get_ids(m), tag = NULL)
get_nest(m, index = .get_ids(m), tag = NULL)
get_prior(m, index = .get_ids(m), tag = NULL)
get_depth(m, index = .get_ids(m), tag = NULL)
get_nest_depth(m, index = .get_ids(m), tag = NULL)
get_value(m, index = .get_ids(m), tag = NULL, warn = TRUE)
get_key(m, index = .get_ids(m), tag = NULL)
get_id(m, index = .get_ids(m), tag = NULL)
get_OK(m, index = .get_ids(m), tag = NULL)
get_code(m, index = .get_ids(m), tag = NULL)
get_tag(m, index = .get_ids(m), tag = NULL)
get_error(m, index = .get_ids(m), tag = NULL)
get_warnings(m, index = .get_ids(m), tag = NULL)
get_notes(m, index = .get_ids(m), tag = NULL)
get_doc(m, index = .get_ids(m), tag = NULL)
get_meta(m, index = .get_ids(m), tag = NULL)
get_time(m, index = .get_ids(m), tag = NULL)
get_mem(m, index = .get_ids(m), tag = NULL)
get_summary(m, index = .get_ids(m), tag = NULL)
|
m |
An Rmonad object |
index |
Selection of indices to extract (all by default). The indices
may be a vector of integers, node names, or igraph vertices
( |
tag |
character vector specifying the tags that must be associated with extracted nodes |
warn |
logical In get_value, raise a warning on an attempt to access an uncached node |
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 | data(gff)
m <- gff$good_result
# vectorized accessors for all stored slots
get_value(m, warn=FALSE)
get_OK(m)
get_code(m)
get_dependents(m)
get_doc(m)
get_error(m)
get_id(m)
get_mem(m)
get_meta(m)
get_nest(m)
get_nest_depth(m)
get_notes(m)
get_parents(m)
get_prior(m)
get_summary(m)
get_time(m)
get_warnings(m)
# get the code associated with long running functions
get_code(m)[get_time(m) > 0.1]
# Calculate the average node degree
nparents <- sapply(get_parents(m), length)
nchildren <- sapply(get_dependents(m), length)
sum(nparents + nchildren) / size(m)
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