transforms netify network objects into statnet's network
objects (also available as netify_to_network,
to_statnet, and to_network),
providing access to the extensive statistical modeling capabilities
of the statnet suite, including ergms (exponential random graph models),
descriptive statistics, and network visualization tools.
Usage
netify_to_statnet(netlet, add_nodal_attribs = TRUE, add_dyad_attribs = TRUE)
netify_to_network(netlet, add_nodal_attribs = TRUE, add_dyad_attribs = TRUE)
to_statnet(netlet, add_nodal_attribs = TRUE, add_dyad_attribs = TRUE)
to_network(netlet, add_nodal_attribs = TRUE, add_dyad_attribs = TRUE)Arguments
- netlet
a netify object containing network data. cross-sectional, longitudinal, and multilayer netlets are all supported; multilayer inputs are dispatched layer-by-layer and the layer results are returned in a named list keyed by layer.
- add_nodal_attribs
logical. if TRUE (default), includes nodal attributes from the netify object as vertex attributes in the network object. set to FALSE to create a network with structure only.
- add_dyad_attribs
logical. if TRUE (default), includes dyadic attributes from the netify object as edge attributes in the network object. each dyad variable is attached in two places on the resulting network: as a network-level attribute under its original name (the full \(n\times n\) matrix) and as a per-edge attribute under
<var>_e. the trailing_edisambiguates the per-edge edgelist from the network-level matrix. forergm::edgecov()pass the original (matrix) name, not the_ealias, sinceedgecov()reads a network-level matrix attribute. the_eper-edge attribute is exposed for descriptive use (e.g. coloring edges innetwork::plot.network).
Value
a network object or list of network objects:
- cross-sectional networks
returns a single network object
- longitudinal networks
returns a named list of network objects with class
c("network.list", "list"), names corresponding to time periods. thenetwork.listclass is the format that tergm cmle (tergm(nl ~ form(.) + persist(.), estimate = "cmle", times = seq_along(nl))) andstergmexpect directly, so the output is plug-and-play for longitudinal ergms.- multilayer networks
returns a named list of (per-time) network objects keyed by layer name
the resulting network object(s) will have:
vertices named according to actors in the netify object
edge weights from the netify weight variable stored as "weight" attribute
vertex attributes for each nodal variable (if add_nodal_attribs = TRUE)
edge attributes for each dyadic variable (if add_dyad_attribs = TRUE); per-edge attributes carry the
_esuffix, network-level attributes keep the original nameproper directedness based on the symmetric parameter of the netify object
a
netify_na_colsattribute (character vector) listing nodal columns that carrynas; pass this directly todrop_na_actors()to drop the offending actors before fitting ergm formulas that reference those columns
Details
the conversion process handles different netify structures:
cross-sectional: direct conversion to a single network object
longitudinal arrays: internally converted to list format, then each time slice becomes a separate network object
longitudinal lists: each time period converted to separate network object
the statnet network format stores networks as an edgelist with attributes, making it memory-efficient for sparse networks. all nodal and dyadic attributes from the netify object are preserved and can be used in subsequent ergm modeling or network analysis.
for longitudinal data, each time period results in an independent network object. this format is suitable for discrete-time network analysis or pooled ergm estimation across time periods.
Note
this function requires the network package (part of statnet) to be installed.
for ergm modeling, the ergm package (also part of statnet) should be loaded after creating the network objects.
Examples
# load example data
data(icews)
# cross-sectional example
icews_10 <- icews[icews$year == 2010, ]
# create netify object with attributes
dvars <- c("matlCoop", "verbConf", "matlConf")
nvars <- c("i_polity2", "i_log_gdp", "i_log_pop")
verbCoop_net <- netify(
icews_10,
actor1 = "i", actor2 = "j",
symmetric = FALSE,
weight = "verbCoop",
dyad_vars = dvars,
dyad_vars_symmetric = rep(FALSE, length(dvars)),
nodal_vars = nvars
)
# convert to statnet network object
ntwk <- netify_to_statnet(verbCoop_net)
#> ! Nodal columns with "NA" detected: "i_polity2" and "i_log_gdp". Ergm terms
#> like `nodecov()`/`nodematch()` will refuse to fit.
#> ℹ Use `drop_na_actors(net, cols = c('i_polity2', 'i_log_gdp'))` (or impute)
#> before refitting.
#> This message is displayed once per session.
#> ℹ Dyad covariates attached as per-edge attributes under "matlCoop_e",
#> "verbConf_e", and "matlConf_e" and as network-level matrices under their
#> original names ("matlCoop", "verbConf", and "matlConf").
#> ℹ For `ergm::edgecov()` use the matrix name (e.g. `edgecov('matlCoop')`); the
#> "_e" per-edge attribute is for descriptive use such as edge styling.
#> This message is displayed once per session.
# examine the result
ntwk
#> Network attributes:
#> vertices = 152
#> directed = TRUE
#> hyper = FALSE
#> loops = FALSE
#> multiple = FALSE
#> bipartite = FALSE
#> verbCoop: 152x152 matrix
#> matlCoop: 152x152 matrix
#> verbConf: 152x152 matrix
#> matlConf: 152x152 matrix
#> total edges= 9976
#> missing edges= 0
#> non-missing edges= 9976
#>
#> Vertex attribute names:
#> i_log_gdp i_log_pop i_polity2 vertex.names
#>
#> Edge attribute names not shown
network::network.size(ntwk) # number of vertices
#> [1] 152
network::network.edgecount(ntwk) # number of edges
#> [1] 9976
network::list.vertex.attributes(ntwk) # nodal attributes
#> [1] "i_log_gdp" "i_log_pop" "i_polity2" "na" "vertex.names"
network::list.edge.attributes(ntwk) # edge attributes
#> [1] "matlConf_e" "matlCoop_e" "na" "verbConf_e" "verbCoop"
# access specific attributes
network::get.vertex.attribute(ntwk, "i_polity2") # polity scores
#> [1] NA 9 2 -2 8 5 10 10 -7 -5 5 -7 8 7 7 NA 8 9
#> [19] 0 6 2 -4 10 10 -1 -2 10 -7 7 9 -4 5 10 0 9 -7
#> [37] 10 10 2 8 5 -3 8 -6 9 -3 -4 10 10 3 -5 6 10 8
#> [55] 10 8 1 6 6 0 7 10 9 8 -7 3 10 6 10 9 10 -3
#> [73] -6 8 -10 8 -7 4 -7 8 6 6 -7 10 10 9 0 6 6 7
#> [91] -2 10 8 9 10 -6 5 -6 6 10 10 9 3 4 10 -8 6 9
#> [109] 4 8 9 8 10 10 -10 9 4 -4 -10 7 7 -2 10 10 8 0
#> [127] 9 10 3 -2 5 10 10 -7 -3 -1 4 -2 10 -4 -9 -1 6 -8
#> [145] 10 10 10 -9 -7 -2 7 1
network::get.edge.attribute(ntwk, "matlCoop_e") # material cooperation on edges
#> [1] 0 2 0 0 0 0 0 1 0 1 0 2 0 0 0 0 0 0
#> [19] 2 2 20 2 0 3 0 1 5 0 2 3 0 0 10 0 0 1
#> [37] 2 0 0 0 2 1 0 0 0 4 0 0 2 0 0 0 39 1
#> [55] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2
#> [73] 1 0 1 4 30 0 0 0 4 0 0 0 1 0 0 0 0 0
#> [91] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [109] 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [127] 0 0 0 1 0 0 0 2 0 0 0 0 0 0 0 0 0 0
#> [145] 0 0 0 0 0 0 0 3 0 0 1 0 3 0 0 0 0 0
#> [163] 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0
#> [181] 0 0 1 0 0 0 2 0 0 0 1 0 0 0 0 0 0 0
#> [199] 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0
#> [217] 0 0 1 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0
#> [235] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0
#> [253] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0
#> [271] 0 0 0 3 2 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [289] 1 1 0 0 0 0 0 2 3 0 20 2 0 0 0 0 0 0
#> [307] 2 1 0 0 0 1 0 0 2 0 0 0 0 0 0 0 0 0
#> [325] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1
#> [343] 0 3 0 0 0 0 0 0 4 0 2 0 0 0 9 0 0 0
#> [361] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 0 0 0
#> [379] 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0
#> [397] 0 0 0 0 0 0 0 0 0 0 0 0 19 0 0 0 0 1
#> [415] 0 0 4 3 1 2 0 1 2 0 0 0 0 0 2 2 0 2
#> [433] 0 0 0 0 0 1 0 13 11 0 6 0 2 0 0 5 0 0
#> [451] 0 0 2 1 1 0 0 1 4 0 0 0 0 12 3 3 0 0
#> [469] 9 3 0 2 0 0 0 0 2 0 0 0 1 0 1 0 0 0
#> [487] 2 3 1 0 0 4 0 0 0 20 16 1 3 2 0 0 0 0
#> [505] 0 0 0 0 0 1 0 0 1 0 0 0 0 0 1 0 0 0
#> [523] 0 0 0 1 0 0 0 0 0 1 0 0 0 0 4 0 0 0
#> [541] 0 0 1 0 2 0 1 0 0 0 1 0 0 0 0 1 0 0
#> [559] 0 1 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0
#> [577] 0 0 0 1 0 0 0 0 1 0 0 0 5 2 0 0 0 0
#> [595] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0
#> [613] 1 0 0 1 0 4 1 0 0 1 0 0 1 0 0 0 0 0
#> [631] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2
#> [649] 0 0 0 0 12 0 0 0 0 0 0 0 1 0 0 0 0 0
#> [667] 0 1 0 0 2 0 0 0 0 0 0 0 0 1 0 0 0 0
#> [685] 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 2
#> [703] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0
#> [721] 0 0 2 0 0 1 0 0 0 0 0 9 0 1 0 0 0 0
#> [739] 0 1 0 0 0 4 2 0 0 0 0 0 0 0 0 0 1 1
#> [757] 0 0 2 0 0 0 2 0 0 1 0 1 0 0 0 0 0 3
#> [775] 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0
#> [793] 0 5 0 0 0 2 0 0 0 32 0 1 2 0 0 0 0 0
#> [811] 0 0 15 0 0 0 0 0 0 0 2 0 0 2 1 0 0 0
#> [829] 0 0 0 0 0 0 0 0 1 1 0 0 0 0 1 0 0 0
#> [847] 0 1 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 1
#> [865] 0 0 0 0 0 0 1 0 1 0 0 3 0 0 0 1 0 0
#> [883] 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0
#> [901] 0 2 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 2
#> [919] 0 0 0 0 0 0 0 0 5 0 0 1 0 0 0 0 0 0
#> [937] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [955] 0 2 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0
#> [973] 1 0 2 0 0 0 0 0 0 2 0 0 0 0 0 1 0 0
#> [991] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0
#> [1009] 0 0 0 0 0 1 0 0 0 1 0 0 0 1 0 0 0 0
#> [1027] 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0
#> [1045] 0 0 0 0 0 0 0 0 0 0 0 1 9 0 0 0 0 0
#> [1063] 0 0 2 0 0 0 0 1 0 2 5 2 0 0 0 0 0 0
#> [1081] 1 1 0 0 0 0 1 1 0 0 3 0 0 0 8 12 0 1
#> [1099] 0 7 0 0 2 1 0 0 0 0 0 2 0 0 0 0 0 1
#> [1117] 0 0 0 0 0 0 1 0 0 4 1 1 0 0 0 0 0 1
#> [1135] 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 4
#> [1153] 1 0 0 0 0 5 0 0 0 0 0 0 0 1 0 0 0 0
#> [1171] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0
#> [1189] 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [1207] 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0
#> [1225] 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0
#> [1243] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [1261] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [1279] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [1297] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [1315] 0 1 0 21 0 0 2 0 1 0 0 0 0 0 0 0 0 3
#> [1333] 0 12 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 2
#> [1351] 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 1 0 0
#> [1369] 0 7 0 17 0 8 1 0 0 0 0 0 0 0 0 3 0 0
#> [1387] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [1405] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [1423] 0 11 0 0 0 0 6 0 0 0 1 0 0 0 3 0 0 1
#> [1441] 4 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0
#> [1459] 0 0 7 0 5 0 0 0 0 0 1 0 5 0 0 0 0 0
#> [1477] 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 1 0
#> [1495] 1 0 0 9 2 0 0 0 1 0 0 3 2 0 1 0 0 0
#> [1513] 0 2 1 0 0 0 0 0 0 0 1 0 0 1 13 0 0 0
#> [1531] 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [1549] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [1567] 0 0 3 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0
#> [1585] 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [1603] 0 0 0 0 0 0 0 0 0 4 0 0 4 0 0 0 0 2
#> [1621] 0 0 0 0 0 1 0 0 0 1 0 1 0 0 2 0 0 2
#> [1639] 0 1 0 0 0 1 0 0 0 0 3 0 2 0 0 0 0 0
#> [1657] 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0
#> [1675] 2 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [1693] 0 0 17 2 0 5 3 0 3 0 0 0 3 2 0 2 3 2
#> [1711] 4 0 0 1 18 2 1 0 2 0 3 3 1 4 1 4 0 0
#> [1729] 0 2 1 0 0 3 3 0 0 0 11 6 0 6 4 0 0 0
#> [1747] 8 1 0 1 1 53 1 7 5 9 3 1 0 2 0 56 1 2
#> [1765] 4 49 5 0 10 5 1 1 5 0 1 0 2 1 0 2 3 0
#> [1783] 2 1 6 0 3 6 3 0 1 0 0 4 0 0 118 0 0 3
#> [1801] 6 0 3 0 0 17 8 0 1 2 5 0 0 4 6 0 8 13
#> [1819] 0 0 0 3 1 3 11 0 0 2 3 1 0 3 50 0 3 27
#> [1837] 7 14 13 0 0 0 1 2 0 0 2 0 2 0 1 0 0 0
#> [1855] 0 0 0 3 0 1 0 0 0 1 0 0 5 0 0 0 0 0
#> [1873] 0 0 0 2 0 0 2 0 0 0 0 0 0 0 1 0 4 0
#> [1891] 6 0 0 0 0 0 1 0 0 0 0 0 0 0 18 0 0 0
#> [1909] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [1927] 0 0 0 0 0 0 0 0 0 1 0 0 3 0 0 0 0 0
#> [1945] 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0
#> [1963] 2 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0
#> [1981] 0 0 0 0 1 0 3 0 0 0 0 0 0 0 0 0 0 0
#> [1999] 0 0 1 1 1 1 0 1 0 0 0 0 0 0 1 0 0 0
#> [2017] 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0
#> [2035] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0
#> [2053] 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0
#> [2071] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [2089] 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0
#> [2107] 0 5 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 1
#> [2125] 0 0 0 0 2 0 1 0 0 0 0 1 0 0 5 0 0 0
#> [2143] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [2161] 1 0 0 0 0 3 0 0 1 7 0 0 1 1 0 0 0 0
#> [2179] 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0
#> [2197] 0 0 1 0 0 0 0 0 0 2 0 1 0 0 0 0 0 0
#> [2215] 6 0 0 1 0 0 0 0 0 5 0 0 0 1 0 0 0 0
#> [2233] 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 10
#> [2251] 0 0 0 0 0 0 0 5 0 0 0 1 0 0 0 0 1 0
#> [2269] 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 2 0
#> [2287] 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0
#> [2305] 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 10 1
#> [2323] 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0
#> [2341] 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0
#> [2359] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0
#> [2377] 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0
#> [2395] 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0
#> [2413] 0 0 2 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0
#> [2431] 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [2449] 0 0 0 10 0 0 0 0 0 0 0 0 0 0 0 0 0 2
#> [2467] 0 0 7 1 1 0 0 0 0 0 2 2 1 0 0 0 1 0
#> [2485] 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0
#> [2503] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0
#> [2521] 0 0 0 1 0 1 0 0 0 0 0 1 0 0 3 0 0 0
#> [2539] 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [2557] 1 6 0 0 1 0 0 6 2 12 0 0 4 0 0 0 0 0
#> [2575] 0 4 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0
#> [2593] 0 1 0 0 0 0 0 0 1 0 1 0 0 0 0 0 2 0
#> [2611] 0 0 6 2 0 0 2 0 0 0 1 0 2 0 0 0 4 0
#> [2629] 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0
#> [2647] 0 0 0 4 0 0 0 0 2 0 0 0 0 0 0 0 0 0
#> [2665] 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0
#> [2683] 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0
#> [2701] 1 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0
#> [2719] 0 0 0 0 0 0 0 0 2 0 0 1 0 0 0 0 0 0
#> [2737] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [2755] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [2773] 0 2 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0
#> [2791] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 29 0 0
#> [2809] 0 2 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0
#> [2827] 0 0 1 0 0 0 0 2 1 0 0 0 3 0 0 0 0 0
#> [2845] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [2863] 0 0 2 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [2881] 0 0 0 0 0 0 2 0 0 0 3 0 0 0 0 2 0 0
#> [2899] 0 0 1 0 0 0 0 0 0 0 0 0 0 0 4 0 2 11
#> [2917] 0 6 0 0 0 1 0 0 0 0 0 0 0 2 13 0 0 0
#> [2935] 1 1 0 2 1 9 2 0 1 0 0 1 2 2 3 0 0 0
#> [2953] 0 0 2 0 0 1 0 2 0 2 0 0 0 0 13 0 0 3
#> [2971] 2 20 2 0 1 1 0 1 0 1 2 0 0 2 0 0 8 0
#> [2989] 0 0 0 0 0 0 2 4 18 0 1 2 2 0 0 1 0 1
#> [3007] 12 1 0 7 2 0 0 0 0 0 16 9 2 1 1 1 0 0
#> [3025] 0 1 1 7 2 0 0 0 0 3 0 0 1 0 0 0 2 0
#> [3043] 1 5 2 0 0 5 4 0 0 0 0 0 0 0 0 0 0 0
#> [3061] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [3079] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [3097] 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0
#> [3115] 0 0 0 1 19 0 0 1 0 0 5 0 0 1 0 0 0 0
#> [3133] 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1
#> [3151] 0 0 0 0 2 0 0 0 3 0 0 5 0 0 0 1 0 0
#> [3169] 3 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 2
#> [3187] 0 0 0 21 0 0 0 0 0 0 0 2 0 0 0 0 2 0
#> [3205] 0 2 0 25 0 0 0 1 1 0 1 0 1 0 0 0 0 1
#> [3223] 1 0 0 0 0 0 0 0 3 0 0 0 0 0 0 3 0 0
#> [3241] 0 1 0 3 0 5 0 0 0 16 0 1 0 2 0 11 11 0
#> [3259] 11 6 2 0 2 2 0 0 0 0 1 1 0 1 0 0 0 0
#> [3277] 0 0 1 0 0 0 0 0 0 0 0 0 5 0 0 0 4 0
#> [3295] 0 0 10 1 0 1 1 0 0 0 3 1 0 0 1 0 0 0
#> [3313] 0 0 1 0 0 1 1 3 1 1 6 0 0 5 0 0 1 0
#> [3331] 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0
#> [3349] 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0
#> [3367] 0 1 3 0 0 1 0 0 0 0 0 0 0 0 0 0 2 0
#> [3385] 0 0 0 2 0 0 1 0 0 0 0 3 0 0 0 0 0 0
#> [3403] 0 0 3 0 2 0 5 0 0 0 0 0 2 4 2 1 0 0
#> [3421] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [3439] 0 5 0 0 0 1 1 0 0 0 0 0 0 5 1 0 0 0
#> [3457] 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0
#> [3475] 0 0 0 1 0 0 0 0 0 0 0 0 0 3 0 0 0 0
#> [3493] 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0
#> [3511] 0 0 3 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0
#> [3529] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1
#> [3547] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [3565] 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0
#> [3583] 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0
#> [3601] 0 0 0 7 0 0 1 18 0 0 0 0 0 0 0 0 0 0
#> [3619] 0 0 0 1 8 0 0 0 0 0 0 0 0 0 0 1 0 0
#> [3637] 0 0 0 0 0 0 0 0 0 0 0 44 2 0 1 0 0 0
#> [3655] 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0
#> [3673] 0 5 0 0 0 0 0 0 0 0 2 0 0 0 0 1 0 1
#> [3691] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0
#> [3709] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 2
#> [3727] 0 0 2 0 0 0 0 0 0 0 0 3 0 0 0 12 0 0
#> [3745] 0 0 1 0 0 28 0 0 0 1 0 0 3 0 1 0 0 7
#> [3763] 0 4 0 0 1 0 0 0 0 0 7 0 0 0 0 0 1 1
#> [3781] 0 0 0 0 0 1 4 0 2 0 4 0 0 0 0 10 0 5
#> [3799] 2 0 0 3 0 0 4 0 0 0 2 1 5 9 1 0 0 0
#> [3817] 0 0 69 0 0 1 0 0 0 0 15 0 1 0 1 0 0 0
#> [3835] 0 0 19 0 0 0 0 0 1 0 3 0 0 0 0 0 1 3
#> [3853] 18 0 1 1 5 0 2 3 0 0 0 0 0 0 0 0 0 0
#> [3871] 0 0 7 0 0 0 0 0 0 0 0 1 0 4 0 1 0 1
#> [3889] 0 0 0 0 0 0 0 0 0 5 7 0 0 0 2 0 0 0
#> [3907] 0 11 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 1
#> [3925] 0 0 0 0 0 0 0 0 0 0 0 0 8 0 0 2 0 91
#> [3943] 0 0 0 0 5 0 1 4 1 1 0 2 0 2 2 3 0 0
#> [3961] 0 0 1 0 0 4 0 0 0 0 0 0 2 0 0 0 0 4
#> [3979] 0 0 1 13 0 0 0 5 0 0 0 0 2 2 0 1 0 46
#> [3997] 0 1 0 3 0 2 0 2 0 0 6 0 101 0 0 0 0 1
#> [4015] 0 5 0 0 0 0 0 0 0 0 0 3 0 0 83 0 0 0
#> [4033] 0 0 0 5 3 0 0 0 0 1 0 0 4 2 0 0 1 7
#> [4051] 3 0 0 0 0 5 2 0 2 1 94 0 2 0 0 0 1 4
#> [4069] 0 0 1 0 1 0 0 0 1 0 0 0 1 0 3 0 0 0
#> [4087] 1 0 0 0 0 0 0 0 13 0 0 2 1 0 0 3 0 1
#> [4105] 0 0 0 0 0 0 0 11 0 2 0 0 0 0 0 6 0 0
#> [4123] 1 0 0 0 0 0 0 1 0 0 0 0 0 1 0 3 66 0
#> [4141] 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0
#> [4159] 2 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [4177] 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [4195] 7 0 0 0 1 2 2 0 1 2 0 0 0 0 0 0 0 0
#> [4213] 0 0 0 9 3 0 0 0 0 0 0 4 0 0 0 0 1 7
#> [4231] 4 0 5 0 4 0 4 2 10 4 0 2 0 26 0 3 0 3
#> [4249] 3 1 0 21 2 0 1 9 0 0 1 0 0 0 0 0 0 0
#> [4267] 0 0 0 2 0 0 4 4 0 0 0 0 0 2 2 0 0 1
#> [4285] 0 0 0 13 0 0 0 1 3 0 4 24 0 0 3 5 1 0
#> [4303] 3 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0
#> [4321] 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 1
#> [4339] 0 13 0 0 3 0 0 0 0 0 0 0 0 0 0 4 1 0
#> [4357] 1 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0
#> [4375] 0 0 0 1 0 0 0 0 4 0 0 0 0 2 0 0 0 0
#> [4393] 2 0 0 0 0 4 0 0 0 6 1 0 0 0 0 0 0 0
#> [4411] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [4429] 1 6 0 0 0 0 6 0 1 7 2 3 1 1 0 2 0 0
#> [4447] 6 0 6 12 159 0 0 2 1 0 0 0 1 0 1 0 6 1
#> [4465] 0 1 0 3 5 0 0 0 8 0 13 3 2 6 0 0 0 0
#> [4483] 6 0 7 4 11 0 0 1 0 0 0 0 0 0 1 0 1 1
#> [4501] 0 1 19 0 0 0 0 2 3 0 0 6 0 0 0 0 2 0
#> [4519] 0 1 3 4 1 0 0 0 0 0 0 2 0 0 2 3 0 0
#> [4537] 1 5 0 13 0 0 0 2 0 0 2 54 1 5 7 7 4 3
#> [4555] 10 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0
#> [4573] 0 0 0 12 0 0 0 0 0 0 6 0 0 0 0 6 7 0
#> [4591] 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 1
#> [4609] 0 1 0 0 0 0 0 2 0 0 0 0 6 0 0 6 0 0
#> [4627] 0 0 0 5 0 0 8 0 0 0 0 0 0 0 0 0 0 2
#> [4645] 0 0 0 0 0 0 1 0 0 3 0 0 2 0 0 0 0 0
#> [4663] 0 0 7 0 0 0 0 0 0 0 0 0 2 0 0 0 0 8
#> [4681] 0 0 1 0 0 0 0 0 6 0 2 0 0 0 0 0 0 0
#> [4699] 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 2 0 0
#> [4717] 0 11 1 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0
#> [4735] 0 0 0 0 0 1 0 2 0 0 0 0 0 0 0 0 0 23
#> [4753] 0 0 2 1 0 0 0 6 1 1 5 0 0 0 0 2 0 0
#> [4771] 0 0 0 0 0 0 0 0 0 0 0 0 18 0 0 0 0 0
#> [4789] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [4807] 20 0 0 0 3 0 0 13 0 0 0 1 0 0 0 0 0 0
#> [4825] 12 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0
#> [4843] 0 2 0 6 0 0 0 0 0 0 1 39 0 0 0 0 0 4
#> [4861] 0 0 0 0 0 11 0 0 2 0 0 1 0 1 0 0 0 0
#> [4879] 2 0 0 0 2 19 1 0 0 0 2 0 0 0 0 0 0 0
#> [4897] 0 0 0 0 1 0 0 0 0 0 0 1 0 0 13 0 0 4
#> [4915] 3 4 2 0 0 0 0 11 4 0 1 48 3 1 2 0 0 0
#> [4933] 2 0 0 0 1 0 1 0 0 0 0 1 0 0 0 0 1 0
#> [4951] 2 3 3 0 3 1 0 0 2 2 7 0 0 0 0 0 0 0
#> [4969] 0 0 0 1 0 0 0 0 0 0 2 0 0 0 5 0 4 0
#> [4987] 122 0 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0
#> [5005] 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0
#> [5023] 0 0 0 0 0 0 0 0 2 11 3 0 0 0 0 0 1 0
#> [5041] 0 0 1 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0
#> [5059] 2 0 3 0 0 0 0 0 0 2 1 0 0 0 0 0 0 3
#> [5077] 0 0 0 0 0 0 0 0 0 0 2 1 2 0 0 0 0 0
#> [5095] 0 4 0 0 2 0 0 0 0 0 0 0 0 3 0 0 0 1
#> [5113] 0 0 0 0 0 0 0 0 0 0 0 9 0 0 0 0 0 0
#> [5131] 0 0 0 0 0 2 0 0 0 0 0 0 1 0 0 0 0 0
#> [5149] 0 0 0 0 0 0 1 7 2 0 0 1 0 0 2 0 0 0
#> [5167] 0 0 0 0 0 5 0 4 0 0 1 0 0 0 0 0 0 0
#> [5185] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [5203] 0 0 0 0 0 0 2 1 0 1 0 0 0 0 0 0 2 0
#> [5221] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4
#> [5239] 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 2 0 4
#> [5257] 0 0 0 2 0 6 2 2 0 5 0 0 2 0 0 0 0 0
#> [5275] 0 0 2 0 0 0 0 0 0 0 1 0 0 2 0 0 2 1
#> [5293] 0 0 0 1 0 0 6 0 0 0 1 0 1 9 0 0 0 0
#> [5311] 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0
#> [5329] 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0
#> [5347] 0 0 0 0 0 0 0 20 0 0 0 0 0 0 0 1 5 1
#> [5365] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0
#> [5383] 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0
#> [5401] 0 0 0 0 0 0 0 0 0 0 0 8 0 0 0 24 0 0
#> [5419] 0 0 0 1 6 0 0 0 1 0 0 1 0 0 1 0 0 3
#> [5437] 0 0 0 0 0 0 0 6 0 0 0 3 23 0 0 0 0 0
#> [5455] 0 0 0 1 1 0 0 0 0 5 0 0 0 0 2 0 0 0
#> [5473] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [5491] 0 1 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0
#> [5509] 3 0 0 0 0 2 0 0 0 0 0 0 0 0 2 0 3 1
#> [5527] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [5545] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [5563] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3
#> [5581] 1 0 0 2 0 0 0 0 0 0 1 0 0 0 0 0 0 0
#> [5599] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [5617] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [5635] 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [5653] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [5671] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [5689] 2 0 0 1 0 0 0 4 0 0 0 0 1 0 0 2 0 0
#> [5707] 0 1 0 0 0 0 0 0 0 0 0 0 0 1 13 3 0 0
#> [5725] 0 0 0 0 0 0 0 1 2 0 0 0 0 4 0 0 1 0
#> [5743] 0 2 0 1 0 0 0 0 1 3 0 3 0 0 0 0 0 10
#> [5761] 0 0 0 0 2 0 0 0 3 0 4 0 0 0 0 0 0 0
#> [5779] 0 0 0 0 0 0 6 0 0 0 1 0 0 3 0 0 0 1
#> [5797] 0 1 0 0 0 0 1 3 0 0 0 3 0 0 0 0 0 0
#> [5815] 0 0 0 0 0 0 1 0 0 0 0 0 0 4 0 0 0 0
#> [5833] 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0
#> [5851] 0 0 1 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0
#> [5869] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [5887] 0 0 0 0 2 1 4 0 0 0 0 3 0 0 0 0 1 0
#> [5905] 0 2 0 0 0 0 8 0 12 2 2 0 0 0 0 0 1 0
#> [5923] 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0
#> [5941] 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 51
#> [5959] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [5977] 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [5995] 0 0 0 0 0 0 9 0 0 0 0 0 0 0 4 0 0 0
#> [6013] 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0
#> [6031] 0 0 2 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [6049] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [6067] 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [6085] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [6103] 0 0 0 1 0 0 0 0 0 0 0 0 1 1 6 0 0 0
#> [6121] 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0
#> [6139] 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0
#> [6157] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0
#> [6175] 5 0 0 0 0 0 0 0 3 0 0 0 0 2 3 0 0 6
#> [6193] 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 12 0 0
#> [6211] 7 6 2 0 0 0 0 0 5 0 0 6 2 0 1 0 0 0
#> [6229] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 27 2 0
#> [6247] 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0
#> [6265] 0 0 0 3 1 0 1 0 0 0 0 0 1 0 0 0 0 0
#> [6283] 0 0 0 0 0 0 0 0 0 1 1 1 2 0 0 0 1 0
#> [6301] 0 0 0 0 1 1 0 0 0 0 0 4 0 0 0 0 1 0
#> [6319] 0 0 0 0 0 6 6 0 0 4 0 1 5 0 0 0 0 0
#> [6337] 0 0 0 1 0 0 0 4 0 0 0 1 0 0 1 0 0 0
#> [6355] 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 2
#> [6373] 0 0 1 0 0 0 0 0 0 0 3 5 0 0 0 0 0 7
#> [6391] 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2 1 2 0
#> [6409] 0 0 0 0 0 0 0 2 0 1 0 0 0 0 0 0 0 0
#> [6427] 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [6445] 0 1 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0
#> [6463] 0 0 0 0 1 0 0 0 0 0 0 0 0 0 4 2 0 0
#> [6481] 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 2 1 0
#> [6499] 0 0 3 0 0 2 0 0 0 0 0 0 0 0 0 1 0 4
#> [6517] 4 0 0 0 1 0 0 0 0 0 0 0 2 0 0 0 1 1
#> [6535] 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 1 0
#> [6553] 0 0 0 0 0 0 0 0 8 10 0 0 0 1 0 1 0 0
#> [6571] 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1
#> [6589] 0 0 0 0 0 1 0 0 3 7 1 0 0 0 0 0 0 0
#> [6607] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0
#> [6625] 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 1 2 0
#> [6643] 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0
#> [6661] 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 2
#> [6679] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [6697] 0 61 0 0 0 0 2 0 3 0 1 0 0 0 0 0 0 0
#> [6715] 0 0 0 19 0 0 0 0 0 0 0 0 0 0 0 2 74 4
#> [6733] 23 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0
#> [6751] 0 0 0 1 0 0 0 0 0 0 2 0 1 0 2 0 5 0
#> [6769] 0 0 1 0 0 0 0 3 0 0 0 0 0 1 6 32 0 0
#> [6787] 0 1 0 0 0 2 0 0 7 0 0 0 0 3 0 0 0 1
#> [6805] 0 0 0 0 0 0 0 3 0 0 2 0 2 0 0 0 1 0
#> [6823] 0 0 4 0 4 0 0 0 0 0 0 0 0 0 0 1 0 0
#> [6841] 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0
#> [6859] 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0
#> [6877] 1 0 0 0 0 2 1 0 7 2 4 0 0 0 0 1 0 0
#> [6895] 0 0 0 0 0 0 0 0 2 0 2 0 0 0 0 2 0 0
#> [6913] 5 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0
#> [6931] 0 0 1 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0
#> [6949] 0 0 2 0 1 0 0 15 0 0 0 0 0 0 1 0 0 1
#> [6967] 0 1 0 0 0 0 1 0 0 0 3 0 0 0 0 0 0 0
#> [6985] 4 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0
#> [7003] 0 0 0 0 0 0 3 0 0 0 0 0 0 4 0 0 8 0
#> [7021] 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0
#> [7039] 0 0 0 0 0 0 0 2 7 0 2 0 0 1 0 0 1 0
#> [7057] 0 1 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0
#> [7075] 0 0 0 0 2 9 0 0 0 0 1 0 0 0 0 0 0 0
#> [7093] 0 0 1 0 0 1 0 1 0 1 0 0 0 0 0 0 0 1
#> [7111] 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [7129] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [7147] 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0
#> [7165] 0 1 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0
#> [7183] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [7201] 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [7219] 0 0 0 0 0 0 0 2 0 0 0 1 0 0 0 0 0 1
#> [7237] 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [7255] 0 0 7 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0
#> [7273] 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0
#> [7291] 0 0 0 0 0 0 0 1 0 0 0 0 0 0 2 0 0 0
#> [7309] 0 1 0 2 0 0 0 2 0 0 0 0 0 0 0 13 0 0
#> [7327] 0 0 1 2 0 0 2 0 0 0 0 0 0 0 0 0 1 0
#> [7345] 0 0 0 8 0 0 0 26 0 0 0 0 9 1 1 7 0 1
#> [7363] 33 0 0 0 2 4 2 0 0 4 23 22 4 0 1 0 0 2
#> [7381] 0 0 0 0 0 1 0 0 0 5 0 0 8 51 0 0 0 0
#> [7399] 0 0 13 1 19 2 27 1 0 15 0 1 0 5 0 9 3 0
#> [7417] 88 0 1 6 0 0 0 0 0 0 0 0 14 2 0 0 0 1
#> [7435] 0 0 0 2 0 5 0 1 2 0 37 0 0 0 0 0 0 0
#> [7453] 0 0 3 14 0 0 1 7 0 0 17 10 0 1 0 0 0 36
#> [7471] 0 6 71 0 2 9 1 0 0 0 0 0 0 1 0 0 0 1
#> [7489] 0 0 0 0 2 0 0 0 0 2 0 0 0 0 0 0 0 0
#> [7507] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 16
#> [7525] 0 0 2 0 0 4 0 0 7 0 0 0 2 0 0 0 0 0
#> [7543] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 3
#> [7561] 0 0 0 0 0 0 1 0 3 0 0 0 1 0 0 0 0 0
#> [7579] 1 0 0 0 0 1 4 0 0 0 0 0 0 0 0 0 5 0
#> [7597] 0 19 0 1 0 0 0 0 1 0 0 7 0 0 2 0 0 0
#> [7615] 0 1 2 0 1 0 0 0 0 0 0 15 0 0 1 24 0 0
#> [7633] 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0
#> [7651] 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0
#> [7669] 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0
#> [7687] 0 0 0 0 0 0 0 0 0 2 0 0 3 0 0 0 0 0
#> [7705] 0 0 0 0 0 0 0 0 0 0 0 0 2 1 0 0 0 0
#> [7723] 0 0 0 0 0 0 8 0 0 0 0 0 1 0 0 0 0 0
#> [7741] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2
#> [7759] 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0
#> [7777] 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0
#> [7795] 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [7813] 0 0 0 0 3 0 0 0 0 3 0 6 0 0 0 0 0 0
#> [7831] 0 0 0 0 0 0 1 4 0 0 0 0 0 0 0 0 14 1
#> [7849] 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 2 0 0
#> [7867] 0 3 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 2
#> [7885] 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0
#> [7903] 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0
#> [7921] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3
#> [7939] 0 0 0 0 0 0 0 0 2 0 0 0 0 0 1 0 0 0
#> [7957] 0 0 0 23 0 3 0 0 0 3 0 9 0 0 0 0 5 0
#> [7975] 0 1 0 0 0 0 5 0 0 1 0 0 0 0 0 0 8 10
#> [7993] 0 1 0 1 1 1 0 1 0 0 0 0 0 56 0 14 1 4
#> [8011] 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 1 0 0
#> [8029] 0 0 1 0 0 2 0 0 0 0 0 0 3 0 0 0 0 0
#> [8047] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0
#> [8065] 0 0 0 0 2 0 0 2 1 1 0 1 0 0 0 0 2 0
#> [8083] 0 1 0 0 0 4 0 0 35 0 0 1 0 5 3 0 1 0
#> [8101] 0 0 10 3 0 0 0 4 6 7 0 1 0 0 0 0 0 0
#> [8119] 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 2 0 2
#> [8137] 0 0 0 0 2 0 0 0 0 0 2 2 0 1 3 4 0 8
#> [8155] 0 0 1 0 0 2 0 1 1 0 0 0 4 0 0 0 2 0
#> [8173] 0 0 0 0 0 0 3 0 0 1 0 0 0 0 0 1 0 0
#> [8191] 0 0 0 1 0 0 0 0 3 0 3 0 0 0 0 4 0 0
#> [8209] 0 0 0 0 0 0 0 0 0 2 0 1 3 0 1 0 0 0
#> [8227] 0 0 0 2 0 0 0 0 0 4 0 0 0 0 1 0 1 0
#> [8245] 0 0 0 0 0 1 0 0 2 0 0 0 0 0 0 0 0 0
#> [8263] 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 2
#> [8281] 0 0 0 0 0 0 2 0 0 0 0 0 0 7 0 0 0 4
#> [8299] 5 0 0 1 0 0 0 0 1 1 0 0 2 0 2 2 0 1
#> [8317] 0 1 0 0 10 1 0 0 0 5 0 0 0 0 0 0 0 0
#> [8335] 0 2 0 0 2 0 1 0 0 0 24 15 0 0 2 31 0 0
#> [8353] 0 0 0 0 0 0 1 0 1 7 0 0 0 1 0 0 0 0
#> [8371] 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [8389] 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0
#> [8407] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [8425] 0 4 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0
#> [8443] 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0
#> [8461] 1 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [8479] 1 0 0 0 0 0 0 0 0 2 0 1 0 0 0 0 0 0
#> [8497] 0 1 1 1 1 0 0 0 0 0 0 0 0 0 1 0 2 0
#> [8515] 0 0 0 0 0 0 2 6 0 0 2 0 0 0 0 0 0 0
#> [8533] 0 0 0 0 0 0 6 0 0 3 0 1 1 0 0 0 0 0
#> [8551] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0
#> [8569] 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [8587] 1 0 0 0 0 3 0 0 1 0 0 0 0 0 2 0 0 1
#> [8605] 0 0 0 0 0 3 0 0 0 2 0 0 9 0 1 6 0 4
#> [8623] 0 0 0 0 358 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [8641] 0 0 3 0 0 0 0 2 0 1 0 0 0 0 0 0 0 0
#> [8659] 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0
#> [8677] 0 0 0 0 0 0 0 0 0 1 0 0 0 5 0 3 0 0
#> [8695] 7 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0
#> [8713] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3
#> [8731] 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [8749] 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0
#> [8767] 3 0 0 0 0 0 0 0 3 1 0 0 0 0 0 0 0 1
#> [8785] 0 0 0 2 1 0 1 0 14 0 2 0 0 7 0 0 0 0
#> [8803] 0 0 1 0 1 0 17 0 0 0 0 0 0 4 0 3 1 0
#> [8821] 2 0 8 0 0 0 0 6 1 0 0 14 0 0 0 0 0 0
#> [8839] 0 0 1 0 0 0 1 11 0 2 3 0 0 0 0 3 0 0
#> [8857] 0 0 0 0 0 2 1 60 0 0 0 0 0 0 0 0 0 0
#> [8875] 0 0 0 1 0 0 0 2 0 0 0 0 0 0 0 0 0 0
#> [8893] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [8911] 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0
#> [8929] 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0
#> [8947] 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0
#> [8965] 2 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0
#> [8983] 0 0 0 0 0 0 0 12 0 0 0 0 0 0 1 0 0 0
#> [9001] 1 0 0 0 0 0 0 0 2 0 0 0 5 0 0 0 0 0
#> [9019] 0 0 0 0 0 0 0 3 0 0 0 0 3 0 0 0 0 0
#> [9037] 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 2
#> [9055] 0 0 0 2 1 0 0 0 0 0 0 1 0 0 0 0 0 0
#> [9073] 0 0 0 0 0 0 0 0 3 1 0 0 0 0 0 0 1 0
#> [9091] 0 0 0 0 0 0 0 0 0 0 7 0 0 71 0 0 7 0
#> [9109] 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0
#> [9127] 0 3 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0
#> [9145] 0 2 1 0 0 0 2 0 0 1 1 0 0 0 0 0 0 0
#> [9163] 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 2 0
#> [9181] 0 1 0 0 1 25 0 0 0 0 0 0 0 0 0 1 0 0
#> [9199] 0 0 0 0 2 0 0 0 0 1 2 1 0 0 0 0 0 0
#> [9217] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2
#> [9235] 0 0 1 0 1 0 1 0 2 3 0 0 0 0 0 0 0 0
#> [9253] 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0
#> [9271] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 4 0
#> [9289] 0 0 0 2 0 0 0 3 0 67 1 4 0 0 0 19 0 0
#> [9307] 0 3 0 0 0 7 0 0 0 1 0 2 0 0 0 6 0 0
#> [9325] 0 0 0 0 0 0 0 0 0 0 0 1 0 0 6 0 2 0
#> [9343] 0 0 0 0 0 3 0 0 4 0 5 14 10 3 1 0 0 1
#> [9361] 0 1 1 2 0 0 0 0 2 13 1 0 0 0 0 1 0 0
#> [9379] 0 0 1 0 0 0 0 4 0 0 2 0 0 17 0 0 0 2
#> [9397] 1 0 0 0 5 0 0 0 2 0 0 0 0 2 8 0 4 7
#> [9415] 0 3 0 0 2 2 1 0 0 0 0 1 0 0 23 0 0 3
#> [9433] 6 0 3 138 5 0 3 1 2 10 0 3 0 4 1 1 0 1
#> [9451] 5 6 4 0 4 13 1 10 0 0 0 5 65 22 0 3 0 0
#> [9469] 3 5 31 2 0 1 1 2 2 3 0 0 6 0 0 22 0 0
#> [9487] 32 11 3 1 6 2 0 0 72 2 0 46 10 29 226 1 45 0
#> [9505] 0 35 7 2 5 10 127 4 19 0 0 35 10 4 2 0 2 0
#> [9523] 0 4 1 1 0 29 8 1 2 1 2 2 0 1 1 0 6 0
#> [9541] 0 157 7 0 2 3 20 4 0 1 8 96 1 13 2 0 0 0
#> [9559] 0 0 25 0 6 7 9 0 0 5 1 7 3 9 2 0 0 1
#> [9577] 17 5 1 29 2 4 18 59 0 4 1 0 0 0 0 0 2 0
#> [9595] 0 0 0 0 0 0 0 0 0 0 2 0 3 0 0 0 0 0
#> [9613] 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0
#> [9631] 0 0 0 0 1 0 0 2 0 0 0 0 0 0 0 0 0 0
#> [9649] 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 3 0
#> [9667] 16 0 0 0 0 0 0 0 6 0 0 1 0 0 0 0 3 0
#> [9685] 0 0 0 1 0 0 0 0 0 0 2 0 0 0 0 0 0 0
#> [9703] 0 0 18 0 0 0 23 0 2 0 0 0 0 0 0 0 0 3
#> [9721] 2 0 0 0 1 1 0 0 0 0 0 0 4 0 0 9 0 0
#> [9739] 0 0 0 0 1 0 0 0 0 0 2 0 0 2 0 0 1 0
#> [9757] 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 2
#> [9775] 0 0 0 4 1 0 0 0 0 0 12 0 0 0 0 0 0 0
#> [9793] 2 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 1 0
#> [9811] 3 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0
#> [9829] 0 0 3 0 0 0 0 4 1 0 0 4 0 0 0 0 0 2
#> [9847] 13 0 0 25 0 0 0 0 1 1 2 0 0 0 0 0 0 0
#> [9865] 17 0 0 0 0 0 0 0 0 0 0 0 2 0 1 0 0 0
#> [9883] 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1
#> [9901] 0 0 0 0 0 1 0 0 0 0 0 1 1 0 0 0 0 0
#> [9919] 0 0 2 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0
#> [9937] 0 0 0 0 0 0 2 0 0 0 0 0 0 0 1 3 0 0
#> [9955] 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0
#> [9973] 1 0 0 0
# check network properties
network::is.directed(ntwk) # TRUE for this example
#> [1] TRUE
network::has.loops(ntwk) # FALSE (no self-ties)
#> [1] FALSE
# \donttest{
# longitudinal example
verbCoop_longit <- netify(
icews,
actor1 = "i", actor2 = "j", time = "year",
symmetric = FALSE,
weight = "verbCoop",
dyad_vars = dvars,
dyad_vars_symmetric = rep(FALSE, length(dvars)),
nodal_vars = nvars
)
# convert to list of network objects
ntwk_list <- netify_to_statnet(verbCoop_longit)
# examine structure
length(ntwk_list) # number of time periods
#> [1] 13
names(ntwk_list) # time period labels
#> [1] "2002" "2003" "2004" "2005" "2006" "2007" "2008" "2009" "2010" "2011"
#> [11] "2012" "2013" "2014"
# access specific time period
ntwk_2002 <- ntwk_list[["2002"]]
ntwk_2002
#> Network attributes:
#> vertices = 152
#> directed = TRUE
#> hyper = FALSE
#> loops = FALSE
#> multiple = FALSE
#> bipartite = FALSE
#> verbCoop: 152x152 matrix
#> matlCoop: 152x152 matrix
#> verbConf: 152x152 matrix
#> matlConf: 152x152 matrix
#> total edges= 8692
#> missing edges= 0
#> non-missing edges= 8692
#>
#> Vertex attribute names:
#> i_log_gdp i_log_pop i_polity2 vertex.names
#>
#> Edge attribute names not shown
# }
if (FALSE) { # \dontrun{
# use with ergm for modeling (requires ergm package)
library(ergm)
model <- ergm(ntwk ~ edges + mutual + nodematch("i_polity2"))
} # }