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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_CompareCorrelations.wasp
Title produced by softwareTesting difference between two correlations
Date of computationTue, 15 Dec 2015 14:02:50 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Dec/15/t145018818807086r8ml7kkpet.htm/, Retrieved Sat, 18 May 2024 14:54:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=286497, Retrieved Sat, 18 May 2024 14:54:00 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact87

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Testing difference between two correlations] [Difference correl...] [2015-12-15 14:02:50] [b6628d6ea1d7803ffc2dc825d38ead4a] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0.466
0.714
0.715
0.83
0.524
0.773
0.806
0.728
0.931
0.88
0.745
0.788
0.813
0.554
0.776
0.785
0.88
0.731
0.473
0.473
0.58
0.58
0.729
0.681
0.742
0.852
0.776
0.385
0.386
0.579
0.501
0.901
0.635
0.365
0.37
0.819
0.715
0.708
0.486
0.561
0.761
0.812
0.813
0.848
0.861
0.9
0.465
0.716
0.698
0.698
0.708
0.681
0.66
0.556
0.38
0.839
0.429
0.722
0.879
0.884
0.67
0.438
0.741
0.911
0.571
0.854
0.743
0.626
0.391
0.396
0.635
0.469
0.616
0.817
0.893
0.583
0.681
0.681
0.641
0.901
0.886
0.872
0.872
0.715
0.888
0.744
0.755
0.531
0.606
0.888
0.888
0.813
0.621
0.621
0.808
0.764
0.481
0.407
0.789
0.888
0.831
0.88
0.88
0.496
0.411
0.77
0.695
0.406
0.827
0.827
0.485
0.769
0.755
0.755
0.629
0.657
0.692
0.787
0.614
0.389
0.52
0.62
0.62
0.537
0.915
0.908
0.611
0.335
0.5
0.943
0.781
0.535
0.773
0.683
0.761
0.49
0.67
0.734
0.656
0.833
0.822
0.85
0.85
0.782
0.782
0.502
0.749
0.715
0.693
0.693
0.833
0.484
0.743
0.743
0.755
0.368
0.899
0.829
0.874
0.489
0.654
0.654
0.869
0.745
0.745
0.472
0.702
0.529
0.897
0.916
0.662
0.662
0.603
0.603
0.72
0.47
0.704
0.765
0.719
0.756
0.693
0.48
0.733
0.825
0.89
0.912
0.787
0.657
0.617
0.617
0.635
0.499
0.554
0.484
Dataseries Y:
Download CSV
Histogram 
382
512
463
538
370
422
595
496
598
581
517
402
431
487
489
566
597
495
467
490
457
502
460
445
556
491
582
415
458
351
439
566
NA
NA
NA
567
588
505
NA
418
495
491
470
521
570
556
NA
450
446
NA
476
475
482
NA
371
563
434
444
517
555
457
464
571
570
427
533
366
496
386
NA
457
407
417
585
534
582
511
517
357
552
488
563
445
433
544
457
499
438
NA
NA
586
378
514
350
570
498
401
306
432
561
548
559
507
447
387
540
563
382
615
NA
420
528
504
NA
545
NA
470
NA
515
330
492
368
NA
461
540
584
454
401
440
519
381
512
NA
400
485
NA
457
539
539
554
549
397
375
570
557
356
389
413
NA
NA
301
421
NA
528
NA
345
595
576
522
433
475
NA
573
490
458
438
NA
499
503
577
458
546
474
388
498
428
NA
499
507
549
424
381
540
390
587
533
591
532
NA
483
535
378
428
489
Dataseries Z:
Download CSV
Histogram 
307
487
471
NA
370
353
591
554
590
591
514
424
427
488
484
575
591
447
459
558
461
451
442
444
560
441
572
406
412
338
445
565
NA
NA
NA
574
582
499
NA
397
521
521
386
523
571
550
NA
383
429
NA
457
463
450
NA
389
564
427
NA
522
559
468
464
527
570
419
526
NA
490
382
NA
417
403
462
580
506
577
509
520
360
562
484
561
448
428
542
440
501
427
NA
NA
581
344
536
383
562
492
490
314
355
556
550
558
558
468
399
549
400
433
547
NA
354
557
496
NA
528
NA
474
477
505
369
462
347
NA
478
536
608
463
408
418
540
405
497
NA
389
480
NA
508
543
516
565
559
441
312
576
553
396
368
420
NA
NA
311
452
551
NA
NA
341
605
527
557
398
475
NA
578
477
NA
435
403
446
510
580
470
548
437
368
498
428
NA
479
497
550
472
407
542
385
590
532
587
521
NA
496
542
395
417
488

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 0 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=286497&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]0 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=286497&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=286497&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Testing difference between two Pearson Correlations
Pearson Correlation between X and Y0.602553469531076
Pearson Correlation between X and Z0.565712326558328
Type of testpaired
t-Test for dependent correlations1.47594218694501
P-value (H0: r(xy) = r(xz))0.141842437594695

\begin{tabular}{lllllllll}
\hline
Testing difference between two Pearson Correlations \tabularnewline
Pearson Correlation between X and Y & 0.602553469531076 \tabularnewline
Pearson Correlation between X and Z & 0.565712326558328 \tabularnewline
Type of test & paired \tabularnewline
t-Test for dependent correlations & 1.47594218694501 \tabularnewline
P-value (H0: r(xy) = r(xz)) & 0.141842437594695 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=286497&T=1

[TABLE]
[ROW][C]Testing difference between two Pearson Correlations[/C][/ROW]
[ROW][C]Pearson Correlation between X and Y[/C][C]0.602553469531076[/C][/ROW]
[ROW][C]Pearson Correlation between X and Z[/C][C]0.565712326558328[/C][/ROW]
[ROW][C]Type of test[/C][C]paired[/C][/ROW]
[ROW][C]t-Test for dependent correlations[/C][C]1.47594218694501[/C][/ROW]
[ROW][C]P-value (H0: r(xy) = r(xz))[/C][C]0.141842437594695[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=286497&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=286497&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Testing difference between two Pearson Correlations
Pearson Correlation between X and Y0.602553469531076
Pearson Correlation between X and Z0.565712326558328
Type of testpaired
t-Test for dependent correlations1.47594218694501
P-value (H0: r(xy) = r(xz))0.141842437594695


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = paired ;
Parameters (R input):
par1 = paired ;
R code (references can be found in the software module):
library(psych)
xy <- cor(x,y,use = 'pairwise')
xz <- cor(x,z,use = 'pairwise')
yz <- cor(y,z,use = 'pairwise')
nx <- length(na.omit(x))
ny <- length(na.omit(y))
nz <- length(na.omit(z))
nxy <- min(nx,ny)
nxz <- min(nx,nz)
if(par1=='paired') {
r <- paired.r(xy,xz,yz,n=nxy,n2=nxz)
} else {
r <- paired.r(xy,xz,n=nxy,n2=nxz)
}
r
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Testing difference between two Pearson Correlations',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Pearson Correlation between X and Y',header=TRUE)
a<-table.element(a,xy)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Pearson Correlation between X and Z',header=TRUE)
a<-table.element(a,xz)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Type of test',header=TRUE)
a<-table.element(a,par1)
a<-table.row.end(a)
if(par1=='paired') {
a<-table.row.start(a)
a<-table.element(a,'t-Test for dependent correlations',header=TRUE)
a<-table.element(a,r$t)
a<-table.row.end(a)
} else {
a<-table.row.start(a)
a<-table.element(a,'z-Test for independent correlations',header=TRUE)
a<-table.element(a,r$z)
a<-table.row.end(a)
}
a<-table.row.start(a)
a<-table.element(a,'P-value (H0: r(xy) = r(xz))',header=TRUE)
a<-table.element(a,r$p)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')