lifecycle: Deprecate eigen_centrality(scale = )

R/centrality.R

@@ -952,9 +952,8 @@ eigen_defaults <- function() {
 #' @param graph Graph to be analyzed.
 #' @param directed Logical scalar, whether to consider direction of the edges
 #'   in directed graphs. It is ignored for undirected graphs.
-#' @param scale Logical scalar, whether to scale the result to have a maximum
-#'   score of one. If no scaling is used then the result vector has unit length
-#'   in the Euclidean norm.
+#' @param scale `r lifecycle::badge("deprecated")` Normalization will always take
+#' place.
 #' @param weights A numerical vector or `NULL`. This argument can be used
 #'   to give edge weights for calculating the weighted eigenvector centrality of
 #'   vertices. If this is `NULL` and the graph has a `weight` edge
@@ -990,7 +989,7 @@ eigen_defaults <- function() {
 #' @cdocs igraph_eigenvector_centrality
 eigen_centrality <- function(graph,
                              directed = FALSE,
-                             scale = TRUE,
+                             scale = deprecated(),
                              weights = NULL,
                              options = arpack_defaults()) {
 
@@ -1003,9 +1002,24 @@ eigen_centrality <- function(graph,
     options <- options()
   }
 
+  if (lifecycle::is_present(scale)) {
+    if (isTRUE(scale)) {
+      lifecycle::deprecate_soft(
+        "2.1.1",
+        "eigen_centrality(scale)",
+        details = "eigen_centrality() will always behave as if scale=TRUE were used."
+      )
+    } else {
+      lifecycle::deprecate_warn(
+        "2.1.1",
+        "eigen_centrality(scale = 'always as if TRUE')",
+        details =  "Normalization is always performed")
+    }
+  }
+
   eigenvector_centrality_impl(graph = graph,
                               directed = directed,
-                              scale = scale,
+                              scale = TRUE,
                               weights = weights,
                               options = options)
 }

tests/testthat/_snaps/centrality.md

@@ -24,3 +24,159 @@
       i Please use `arpack_defaults()` instead.
       i So the function arpack_defaults(), not an object called arpack_defaults.
 
+# eigen_centrality() deprecated scale argument
+
+    Code
+      eigen_centrality(g, scale = TRUE)
+    Condition
+      Warning:
+      The `scale` argument of `eigen_centrality()` is deprecated as of igraph 2.1.1.
+      i eigen_centrality() will always behave as if scale=TRUE were used.
+    Output
+      $vector
+       [1] 1 1 1 1 1 1 1 1 1 1
+
+      $value
+      [1] 2
+
+      $options
+      $options$bmat
+      [1] "I"
+
+      $options$n
+      [1] 10
+
+      $options$which
+      [1] "LA"
+
+      $options$nev
+      [1] 1
+
+      $options$tol
+      [1] 0
+
+      $options$ncv
+      [1] 0
+
+      $options$ldv
+      [1] 0
+
+      $options$ishift
+      [1] 1
+
+      $options$maxiter
+      [1] 3000
+
+      $options$nb
+      [1] 1
+
+      $options$mode
+      [1] 1
+
+      $options$start
+      [1] 1
+
+      $options$sigma
+      [1] 0
+
+      $options$sigmai
+      [1] 0
+
+      $options$info
+      [1] 0
+
+      $options$iter
+      [1] 1
+
+      $options$nconv
+      [1] 1
+
+      $options$numop
+      [1] 7
+
+      $options$numopb
+      [1] 0
+
+      $options$numreo
+      [1] 5
+
+
+
+---
+
+    Code
+      eigen_centrality(g, scale = FALSE)
+    Condition
+      Warning:
+      The `scale` argument of `eigen_centrality()` always as if TRUE as of igraph 2.1.1.
+      i Normalization is always performed
+    Output
+      $vector
+       [1] 1 1 1 1 1 1 1 1 1 1
+
+      $value
+      [1] 2
+
+      $options
+      $options$bmat
+      [1] "I"
+
+      $options$n
+      [1] 10
+
+      $options$which
+      [1] "LA"
+
+      $options$nev
+      [1] 1
+
+      $options$tol
+      [1] 0
+
+      $options$ncv
+      [1] 0
+
+      $options$ldv
+      [1] 0
+
+      $options$ishift
+      [1] 1
+
+      $options$maxiter
+      [1] 3000
+
+      $options$nb
+      [1] 1
+
+      $options$mode
+      [1] 1
+
+      $options$start
+      [1] 1
+
+      $options$sigma
+      [1] 0
+
+      $options$sigmai
+      [1] 0
+
+      $options$info
+      [1] 0
+
+      $options$iter
+      [1] 1
+
+      $options$nconv
+      [1] 1
+
+      $options$numop
+      [1] 7
+
+      $options$numopb
+      [1] 0
+
+      $options$numreo
+      [1] 6
+
+
+