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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 computationSun, 13 Dec 2015 12:40:57 +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/13/t14500106005e74ywy4dhyyme9.htm/, Retrieved Thu, 16 May 2024 16:04:58 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=286163, Retrieved Thu, 16 May 2024 16:04:58 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact108
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Univariate Data Series] [HPC Retail Sales] [2008-03-02 15:42:48] [74be16979710d4c4e7c6647856088456]
- RMPD    [Testing difference between two correlations] [Difference correl...] [2015-12-13 12:40:57] [b6628d6ea1d7803ffc2dc825d38ead4a] [Current]
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Dataseries X:
0.453
0.708
0.709
0.832
0.504
0.778
0.799
0.72
0.926
0.877
0.743
0.788
0.812
0.539
0.779
0.779
0.877
0.714
0.467
0.467
0.569
0.569
0.726
0.672
0.739
0.844
0.773
0.367
0.381
0.571
0.493
0.896
0.622
0.355
0.349
0.808
0.701
0.706
0.479
0.565
0.75
0.806
0.824
0.848
0.858
0.898
0.452
0.717
0.691
0.691
0.701
0.678
0.652
0.559
0.373
0.83
0.409
0.721
0.877
0.879
0.662
0.44
0.733
0.904
0.556
0.856
0.746
0.613
0.38
0.401
0.626
0.462
0.612
0.817
0.886
0.57
0.671
0.671
0.638
0.899
0.881
0.869
0.869
0.712
0.884
0.744
0.747
0.522
0.599
0.882
0.882
0.807
0.614
0.614
0.809
0.759
0.472
0.393
0.799
0.882
0.829
0.881
0.881
0.494
0.406
0.766
0.688
0.398
0.821
0.821
0.475
0.753
0.748
0.748
0.627
0.652
0.671
0.784
0.603
0.38
0.514
0.61
0.61
0.527
0.904
0.903
0.604
0.323
0.492
0.939
0.78
0.526
0.768
0.671
0.759
0.479
0.669
0.722
0.651
0.826
0.816
0.847
0.847
0.779
0.779
0.453
0.747
0.717
0.688
0.688
0.815
0.483
0.743
0.743
0.763
0.353
0.894
0.826
0.873
0.489
0.638
0.638
0.864
0.736
0.736
0.463
0.698
0.527
0.895
0.915
0.662
0.662
0.596
0.596
0.715
0.46
0.701
0.764
0.715
0.738
0.687
0.472
0.726
0.824
0.895
0.908
0.779
0.648
0.617
0.617
0.629
0.484
0.53
0.459
Dataseries Y:
421
493
515
NA
398
400
598
477
597
573
532
433
384
501
517
556
578
423
464
449
407
474
494
450
554
534
582
433
413
403
442
563
NA
NA
NA
551
592
498
580
438
524
489
483
547
568
545
NA
411
435
NA
468
471
499
NA
355
552
444
448
510
564
395
397
524
565
444
529
367
500
390
NA
468
408
466
583
545
581
516
519
390
563
485
563
453
444
541
433
479
432
NA
NA
579
385
529
404
581
488
483
323
326
NA
557
537
475
533
420
553
NA
405
578
NA
NA
576
499
NA
544
621
469
NA
515
347
441
395
NA
472
540
602
465
344
437
509
323
508
NA
411
453
NA
534
540
525
540
538
431
318
572
556
373
360
448
NA
NA
330
461
NA
509
NA
389
593
570
573
362
474
NA
576
492
427
420
NA
419
515
558
453
538
362
392
495
424
484
488
541
543
481
389
539
376
584
531
589
506
NA
490
518
367
416
493
Dataseries Z:
439
488
517
569
353
416
587
464
596
576
505
445
433
487
511
583
581
468
417
NA
484
500
497
427
554
439
591
421
419
461
435
568
NA
NA
NA
575
596
505
NA
402
529
504
457
527
562
558
NA
433
438
NA
470
468
524
NA
445
567
436
524
510
556
417
412
525
568
450
521
402
508
395
NA
429
417
458
568
549
578
517
518
393
561
483
555
439
444
545
447
481
434
NA
NA
576
388
539
372
557
466
NA
332
337
NA
562
561
498
489
469
536
507
386
498
NA
463
550
502
NA
531
515
476
NA
507
399
477
371
NA
462
524
604
477
390
456
529
421
503
NA
415
456
NA
459
543
534
541
538
439
476
578
553
351
420
409
NA
NA
355
462
NA
529
NA
395
595
547
552
483
473
NA
579
518
438
395
412
460
532
560
457
534
416
403
498
429
NA
478
509
547
485
411
535
387
585
533
567
523
NA
500
519
381
417
495




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Maurice George Kendall' @ kendall.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 & 1 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=286163&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=286163&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=286163&T=0

As an alternative you can also use a 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 time1 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net







Testing difference between two Pearson Correlations
Pearson Correlation between X and YNA
Pearson Correlation between X and ZNA
Type of testpaired
t-Test for dependent correlationsNA
P-value (H0: r(xy) = r(xz))NA

\begin{tabular}{lllllllll}
\hline
Testing difference between two Pearson Correlations \tabularnewline
Pearson Correlation between X and Y & NA \tabularnewline
Pearson Correlation between X and Z & NA \tabularnewline
Type of test & paired \tabularnewline
t-Test for dependent correlations & NA \tabularnewline
P-value (H0: r(xy) = r(xz)) & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=286163&T=1

[TABLE]
[ROW][C]Testing difference between two Pearson Correlations[/C][/ROW]
[ROW][C]Pearson Correlation between X and Y[/C][C]NA[/C][/ROW]
[ROW][C]Pearson Correlation between X and Z[/C][C]NA[/C][/ROW]
[ROW][C]Type of test[/C][C]paired[/C][/ROW]
[ROW][C]t-Test for dependent correlations[/C][C]NA[/C][/ROW]
[ROW][C]P-value (H0: r(xy) = r(xz))[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=286163&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=286163&T=1

As an alternative you can also use a QR Code:  

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

Testing difference between two Pearson Correlations
Pearson Correlation between X and YNA
Pearson Correlation between X and ZNA
Type of testpaired
t-Test for dependent correlationsNA
P-value (H0: r(xy) = r(xz))NA



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)
xz <- cor(x,z)
yz <- cor(y,z)
par2 <- length(x)
if(par1=='paired') {
r <- paired.r(xy,xz,yz,n=par2)
} else {
r <- paired.r(xy,xz,n=par2)
}
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')