peek method for netify objects

peek takes in a netify object and displays the some specified rows of information.

Usage

peek(
  netlet,
  what_to_peek = 3,
  what_rows_to_peek = what_to_peek,
  what_cols_to_peek = what_to_peek,
  when_to_peek = 1,
  what_layers_to_peek = NULL
)

Arguments

netlet: object of class netify
what_to_peek: enter the name of specific nodes to peek in character vector form or provide a numeric range, default is to show the first three rows and columns of interactions
what_rows_to_peek: similar as what_to_peek but specific to rows, default value is set to what_to_peek. If you want to peek at all rows then set this to NULL.
what_cols_to_peek: similar as what_to_peek but specific to columns, default value is set to what_to_peek. If you want to peek at all columns then set this to NULL.
when_to_peek: choose time points to peek from, default is to show the first time point of data. If the entry is a numeric value or vector then it will be used as an index to the time dimension. If the entry is a character vector then it will be used to match the time dimension labels. If you want to peek at all time points then set this to NULL.
what_layers_to_peek: if the netlet object has multiple layers, then you must choose one layer to peek at.

Value

slice of the network

Author

Cassy Dorff, Shahryar Minhas

Examples


# load data
data(icews)

# subset to a particular year
icews_10 <- icews[icews$year=='2010', ]

# gen netify object
icews_verbCoop <- netify(
  dyad_data=icews_10, actor1='i', actor2='j',
  symmetric=FALSE, weight='verbCoop' )

# peek at relations between a few countries
peek(icews_verbCoop,
  what_to_peek = c('United Kingdom', 'United States','France') )
#>                United Kingdom United States France
#> United Kingdom             NA          1157    407
#> United States            1082            NA    582
#> France                    431           653     NA

# specify rows and cols to peek at
peek(icews_verbCoop,
  what_rows_to_peek = c('United Kingdom', 'United States','France'),
  what_cols_to_peek = c('Russian Federation', 'Sri Lanka') )
#>                Russian Federation Sri Lanka
#> United Kingdom                460       101
#> United States                4275       131
#> France                        987        15

# peek with longit array
icews_matlConf <- netify(
  dyad_data=icews, 
  actor1='i', actor2='j', time='year',
  symmetric=FALSE, weight='matlConf',
  output_format = 'longit_array' )
# peek at a few years for the first three rows/cols, 
# specify numeric index or character refs
peek(icews_matlConf, when_to_peek=c(1, 5, 10))
#> , , 2002
#> 
#>             Afghanistan Albania Algeria
#> Afghanistan          NA       0       0
#> Albania               0      NA       0
#> Algeria               0       0      NA
#> 
#> , , 2006
#> 
#>             Afghanistan Albania Algeria
#> Afghanistan          NA      21       0
#> Albania               3      NA       1
#> Algeria               0       0      NA
#> 
#> , , 2011
#> 
#>             Afghanistan Albania Algeria
#> Afghanistan          NA       0       0
#> Albania               2      NA       0
#> Algeria               1       0      NA
#> 
peek(icews_matlConf, when_to_peek=c('2002', '2006', '2011'))
#> , , 2002
#> 
#>             Afghanistan Albania Algeria
#> Afghanistan          NA       0       0
#> Albania               0      NA       0
#> Algeria               0       0      NA
#> 
#> , , 2006
#> 
#>             Afghanistan Albania Algeria
#> Afghanistan          NA      21       0
#> Albania               3      NA       1
#> Algeria               0       0      NA
#> 
#> , , 2011
#> 
#>             Afghanistan Albania Algeria
#> Afghanistan          NA       0       0
#> Albania               2      NA       0
#> Algeria               1       0      NA
#>