shinySbm (version 0.2.0)

plotSbm.matrix: plotSbm.matrix Method

Description

plotSbm method for matrix object

Usage

# S3 method for matrix
plotSbm(
  x,
  ordered = FALSE,
  transpose = FALSE,
  labels = NULL,
  plotOptions = list()
)

Value

a ggplot object corresponding to the matrix plot inside the app. Here because there no 'sbm' information and only a matrix describing a network, The matrix isn't organized and the tiles are only showing individuals connections.

Arguments

x

numeric matrix

ordered

Boolean. Set TRUE if the matrix should be reordered (Default is FALSE)

transpose

Boolean. Set TRUE to invert columns and rows to flatten a long matrix (Default is FALSE)

labels

named list (names should be: `"col"` and `"row"`) of characters describing columns and rows component (Default is NULL)

plotOptions

list providing options. See details below.

Details

The list of parameters plotOptions for the matrix plot is

"showValues":

Boolean. Set TRUE to see the real values. Default value is TRUE

"showPredictions":

Boolean. Set TRUE to see the predicted values. Default value is TRUE

"title":

Title in characters. Will be printed at the bottom of the matrix. Default value is NULL

"colPred":

Color of the predicted values, the small values will be more transparent. Default value is "red"

"colValue":

Color of the real values, the small values will close to white. Default value is "black"

"showLegend":

Should a legend be printed ? TRUE or FALSE, default: FALSE

"interactionName":

Name of connection in legend default: "Connection"

Examples

n_col <- 100
n_row <- 90
mat <- matrix(sample(0:10, n_col * n_row, replace = TRUE), n_col, n_row)
plotSbm(mat,
  transpose = TRUE,
  labels = list(col = "Columns", row = "Rows"),
  plotOptions = list(colValue = "blue")
)