Free Statistics

of Irreproducible Research!

Author's title

Author*The author of this computation has been verified*
R Software ModuleRscript (source code is shown below)
Title produced by softwareR console
Date of computationThu, 28 Aug 2008 07:41:28 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Aug/28/t1219930890pxjz5777rvamruk.htm/, Retrieved Tue, 14 May 2024 06:42:47 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=14270, Retrieved Tue, 14 May 2024 06:42:47 +0000
QR Codes:

Original text written by user:no comments
IsPrivate?No (this computation is public)
User-defined keywordskey1,key2
Estimated Impact274
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [R console] [my R test (long s...] [2008-08-28 13:41:28] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
0.955135301601313
-0.598009014852052
1.06159536121991
0.131296504795696
0.99125566823962
0.763916027938013
3.65579061440895
-1.39273911867373
-2.12220035453614
0.151646925207015
0.553280523099378
0.370705194279645
1.61232002960421
-0.491527036469164
-0.716492660044983
-0.4978971538034
2.46084005482528
-0.0733211247366627
0.653595895941261
0.329229030949775
1.62734143669499
-1.14610878143245
-0.85037640934105
0.321126541808546
-0.342732165615112
-0.100805947692471
0.161536602707616
-0.308891904110961
0.476944095220829
0.236566132524419
0.913071272589446
-0.670274279594687
-0.0756987228119403
-1.55576307808718
-1.77708937790188
-1.10945112830807
0.721875589759412
-1.21028310741317
-0.428775604027164
0.129787769412543
2.53463500684824
-0.573859218018837
-0.131306421108579
0.755875627482346
-1.02121804671278
1.05793181715718
-2.13249059403229
1.06097031346630
0.817482392493804
-0.267214958460086
0.63831405443902
1.81194835523294
-0.421978231937159
0.94491082679091
-2.66404764921233
1.12113613550572
-1.23822240033934
-0.303092072260488
-1.62119513699852
-0.631205893535337
-0.483073678023847
0.154228918436394
0.11384424617738
-0.503234550745185
1.49013013689570
0.277830579161798
0.328114599382428
-0.844502133709721
-0.703880150554245
-0.486240608661446
0.608137775831146
-2.02437981651259
-0.848318599352556
-0.709162110448029
-0.636982506058043
-0.639180414878
-0.664963901002615
0.133821068706808
0.915007091738696
0.0858979628619916
-1.34772486568313
-0.52084119810308
-0.265271264706935
-0.651732598545492
-1.68197000098632
-0.214279197442440
1.88366114457541
-1.14112664276382
0.315739619357661
0.654034259998444
0.623797937438752
-0.131210915581986
-0.690954626242596
1.72753287845447
-0.689930222664172
0.453325082181776
0.68576754665117
0.244943465539781
1.30999150886638
-1.89923935717553
Dataseries Y:
0.321911625331268
0.977125110570341
0.216376886470243
0.397235367679968
0.675570535706356
0.0672271528746933
0.343053075252101
0.456865676445886
0.136574406176805
0.225840766914189
0.8105204757303
0.708362053148448
0.556049452163279
0.828181758057326
0.0954259007703513
0.220826282165945
0.447612284682691
0.834735489683226
0.3512820340693
0.0642769124824554
0.0960427436511964
0.716493365122005
0.364487829385325
0.286071470007300
0.787610298255458
0.77724390430376
0.86359897814691
0.467541912803426
0.930852834368125
0.703725445317104
0.705552200553939
0.477508004987612
0.221512879710644
0.373647315427661
0.617944642435759
0.198666460812092
0.470296384301037
0.388639421900734
0.643999434774742
0.58130500651896
0.194381021428853
0.142920271726325
0.939337932737544
0.0277360256295651
0.752144152065739
0.108577143400908
0.34037313121371
0.457520561991259
0.0235069599002600
0.763987024314702
0.645806218497455
0.488058786606416
0.763835933059454
0.241929428651929
0.479734400985762
0.274199882522225
0.194186233915389
0.330988992005587
0.128492750925943
0.898477223701775
0.821579358540475
0.266975032864138
0.377592956647277
0.00379473180510104
0.383595751132816
0.769460296491161
0.323680371278897
0.613498686812818
0.0131570338271558
0.302248024847358
0.313628186704591
0.69646268710494
0.762887872289866
0.759306079475209
0.539950405946001
0.0452326750382781
0.319782620295882
0.610112578608096
0.537933529121801
0.29274802072905
0.665816061897203
0.330786651698872
0.449979866622016
0.294047608040273
0.341016392922029
0.927027414785698
0.98919075075537
0.233397229574621
0.792826608987525
0.99350286158733
0.547260209685192
0.921329857315868
0.866597423097119
0.78886249079369
0.541115524480119
0.607943121343851
0.597618844360113
0.465588945429772
0.00226979819126427
0.185176405357197
Dataseries Z:
0.367729926198981
-0.241124470778936
0.178820914043339
1.41772365226174
0.888286406222797
0.612086143936738
0.0255267069724828
1.22027695495380
-0.457593276518642
1.26706885856039
-1.87632493892359
0.340206692054647
0.83676061681678
0.764802299491706
0.612418280502584
-0.911398483500372
0.626690985842366
1.44759701498584
0.724985126007767
-0.588619890419084
1.00030417711933
0.354510826404362
-0.64965162935874
0.830000387697977
1.28898290563247
1.41277186976446
0.109476924008356
0.804209191871609
0.154139605905949
-0.348016282780276
-0.360092017959681
0.0861978859697618
0.809989912280565
0.833409208756479
0.705333567966465
0.181798199625711
-1.80945115524612
-2.47833327477861
0.363077997060127
0.096992534446933
0.556275310413533
0.0414587612673344
0.989749428234513
-1.90364137278278
1.56502092459682
0.526253045572188
0.0723066266917064
-0.171260065011921
0.829035427995469
1.62664408213989
0.82720183829443
0.557417599953584
-2.34291921671973
1.63508972036390
-1.27573513522318
-1.00395156499633
0.89405491031114
1.09013280669452
-0.400423151701813
0.817575120666716
-1.42125399987543
0.848222714348842
1.14906912615808
-1.40882306007173
-0.119452478433525
-0.292327804855487
-0.598843201340093
-1.06973015076731
0.266589117928570
-0.179972195434899
1.09820690558071
1.89870429159203
0.315036014364118
0.042489958138656
-0.491268728606455
-2.23841894563582
-2.12706837034995
-0.894528973245919
-0.59971894458757
-0.977781889213295
0.593902629230224
0.260513607152117
0.0694851133747895
-0.213283514411900
-0.0304565199895396
-0.224850622295501
-0.00368624788577936
-0.801163132445006
1.58233988840764
-2.42176049596068
1.44079478904926
-0.895450749202924
-0.325375686328384
0.00374975984524025
1.08900167038268
0.793328861477729
0.145332659444348
1.34292848859385
-0.399837146515191
-1.55439484273621
> first_number = 5

> second_number = 7

> strpar = 'hello'

> {
+     myfun <- function(x, y) {
+             x + y
+         }
+ 
+     print(myfun(first_number, second_number))
+     print(strpar)
+     print .... [TRUNCATED] 
[1] 12
[1] 'hello'
[1] -0.01148688
[1] 0.0996238
Parameters (Session):
par1 = 5 ; par2 = 7 ; par3 = hello ;
Parameters (R input):
R code (body of R function):
{
myfun <- function(x, y) {
x + y
}
print(myfun(par1, par2))
print(par3)
print(cor(x, y))
print(cor(x, z))
}