tests/testthat/_snaps/NCT.md

In NetworkComparisonTest: Statistical Comparison of Two Networks Based on Several Invariance Measures

NCT works when directly inputting data

Code
  summary(NCT_a)
Output
   INDEPENDENT GROUPS BINARY NETWORK COMPARISON TEST

   P-VALUE CORRECTION: none

   NETWORK INVARIANCE TEST 
   Test statistic M: 0.5530656 
   p-value 0.5454545

   GLOBAL STRENGTH INVARIANCE TEST 
   Global strength per group:  8.27092 7.016815 
   Test statistic S:  1.254105 
   p-value 0.2727273

   EDGE INVARIANCE TEST 
    Var1 Var2 p-value Test statistic E
  1   V1   V2       1                0
  2   V3   V6       1                0

NCT works with output from estimateNetwork

Code
  summary(NCT_b)
Output
   INDEPENDENT GROUPS GAUSSIAN NETWORK COMPARISON TEST

   P-VALUE CORRECTION: none

   NETWORK INVARIANCE TEST 
   Test statistic M: 0.5530656 
   p-value 0.5454545

   GLOBAL STRENGTH INVARIANCE TEST 
   Global strength per group:  8.27092 7.016815 
   Test statistic S:  1.254105 
   p-value 0.2727273

   EDGE INVARIANCE TEST 
    Var1 Var2 p-value Test statistic E
  1   V1   V2       1                0
  2   V3   V6       1                0

NCT works when testing node strength

Code
  summary(NCT_c)
Output
   DEPENDENT GROUPS GAUSSIAN NETWORK COMPARISON TEST

   P-VALUE CORRECTION: none

   NETWORK INVARIANCE TEST 
   Test statistic M: 0.5530656 
   p-value 0.6363636

   GLOBAL EXPECTED INFLUENCE INVARIANCE TEST 
   Global EI per group:  3.209379 1.651196 
   Test statistic S:  1.558182 
   p-value 0.09090909

   EDGE INVARIANCE TEST 
    Var1 Var2 p-value Test statistic E
  1   V1   V2       1                0
  2   V3   V6       1                0


   CENTRALITY INVARIANCE TEST 
   Nodes tested: V1 V2 V3 V4 V5 V6 
   Centralities tested: strength
   Test statistics C: 
       strength
  V1 -0.1520385
  V2  0.3358209
  V3  0.2329733
  V4  0.9527754
  V5  0.4287183
  V6  0.7099606

   p-values: 
      strength
  V1 0.8181818
  V2 0.7272727
  V3 0.4545455
  V4 0.1818182
  V5 0.3636364
  V6 0.3636364

NCT works when testing expected influence

Code
  summary(NCT_d)
Output
   DEPENDENT GROUPS GAUSSIAN NETWORK COMPARISON TEST

   P-VALUE CORRECTION: none

   NETWORK INVARIANCE TEST 
   Test statistic M: 0.5530656 
   p-value 0.6363636

   GLOBAL EXPECTED INFLUENCE INVARIANCE TEST 
   Global EI per group:  3.209379 1.651196 
   Test statistic S:  1.558182 
   p-value 0.09090909

   EDGE INVARIANCE TEST 
    Var1 Var2 p-value Test statistic E
  1   V1   V2       1                0
  2   V3   V6       1                0


   CENTRALITY INVARIANCE TEST 
   Nodes tested: V1 V2 V3 V4 V5 V6 
   Centralities tested: expectedInfluence
   Test statistics C: 
     expectedInfluence
  V1         0.1520385
  V2         0.3358209
  V3         0.2329733
  V4         1.3298653
  V5         0.4606148
  V6         0.6050513

   p-values: 
     expectedInfluence
  V1        0.81818182
  V2        0.81818182
  V3        0.45454545
  V4        0.09090909
  V5        0.72727273
  V6        0.27272727

NetworkComparisonTest documentation built on Sept. 1, 2023, 5:05 p.m.