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 03:23:01 -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/t12199153830ygiiut1i91ulmj.htm/, Retrieved Tue, 14 May 2024 09:08:54 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=14267, Retrieved Tue, 14 May 2024 09:08:54 +0000
QR Codes:

Original text written by user:no comments
IsPrivate?No (this computation is public)
User-defined keywordskey1,key2
Estimated Impact258
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [R console] [my R test] [2008-08-28 09:23:01] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
0.945023708218665
-0.30204387641817
1.08919103024219
0.189773140646539
-2.17768994214344
-0.714626737224316
-0.289173676259160
-0.874645907224012
-1.80073362922702
-0.523237764735637
0.0503838500741156
0.548313571794616
-0.410314343005243
0.736873987015134
0.172582028800618
0.160807019213102
1.42347153768758
-1.07277475356372
0.74449425710524
-1.04138397537842
0.997408494466651
-0.0827253081060127
1.22167688972412
-0.556123717865759
-0.916255936445285
1.34072463200515
-0.498448051758519
0.484405630390789
-1.13503394918626
-2.41346912499726
0.382054160135879
0.366629583583515
-0.40168250271655
0.164310896889157
-0.861884352360205
0.575612655101864
-0.446138647634666
0.228171335136090
-0.660689943926156
-0.0923943344957041
-0.072954208356015
-0.238107007346506
0.984401659050074
0.350550677639021
0.43735798059614
0.482234722241238
0.615209629294174
0.906028300767658
0.480383772994623
-1.41076634151890
-0.464546088844418
-0.133528279483341
-0.689334015248118
-1.04254815565511
-0.397229935873802
-0.627736608403574
-1.66529812342878
1.20956321465605
-1.12423871641225
-0.675661486348133
1.62650729992335
0.868568731796224
0.873768018199816
0.457333502864743
0.370476543356723
1.21158436250124
0.484021932929181
-0.0350730019944943
-0.973370531214465
-0.217410575335509
1.07515784124749
-0.88626939115514
-1.10849795040568
0.785770363241013
-0.793195241355749
-1.43248271693065
0.195110383633398
-0.346489045664636
-0.798853804879281
-0.215578915014131
-0.968341603576186
1.04561060248650
-0.350940872868741
0.760143152167993
0.228018627642400
0.573050327816375
1.73921970553496
-0.853270471934282
0.506882745102174
1.24960841622808
0.098834801732055
-1.01745416797202
-0.0653713656133564
0.278323952398347
-0.719200651715213
1.78475205308813
0.295445621133890
0.232429867295089
-1.07327614377066
-1.0717432318861
Dataseries Y:
0.263413444627076
0.00639836839400232
0.74588550790213
0.498605180764571
0.626734124030918
0.973131121369079
0.80258959531784
0.679664988303557
0.282002331456169
0.0502950598020107
0.861318983370438
0.258653114782646
0.0460735883098096
0.668653575470671
0.423139577964321
0.348708395846188
0.834483060752973
0.61591319879517
0.267177993664518
0.62831746507436
0.401338473893702
0.147631053812802
0.528515384299681
0.0833852009382099
0.379746933933347
0.273500201292336
0.941197547828779
0.89190864493139
0.0556737021543086
0.304098007269204
0.429754215991125
0.926116167102009
0.890745157841593
0.251959273824468
0.0389065966010094
0.465096904430538
0.00215912261046469
0.375317683210596
0.0990839719306678
0.820122200530022
0.816839009989053
0.370618856744841
0.8430280177854
0.427775475429371
0.511750357924029
0.251742711523548
0.65812529111281
0.933424293296412
0.071653303457424
0.939937860239297
0.642861682455987
0.130049773724750
0.519295683363453
0.851535616675392
0.633379077771679
0.0377438995055854
0.898662996012717
0.275209132116288
0.760709294816479
0.0406121066771448
0.283988739829510
0.703444425947964
0.873893812298775
0.8574141880963
0.704691097373143
0.698638391913846
0.949232560349628
0.0282128565013409
0.967929569305852
0.874562411103398
0.620649540564045
0.523414288880304
0.680276429280639
0.499820278491825
0.0727980122901499
0.705711025046185
0.169789887266234
0.377321295905858
0.620398681145161
0.656425231602043
0.635166386375204
0.403400948271155
0.848807491129264
0.123492297949269
0.096041111741215
0.637436609948054
0.523151335073635
0.229995635570958
0.0807294712867588
0.264983251458034
0.0954900693614036
0.0154807097278535
0.61471430095844
0.572162831202149
0.172428839607164
0.487504736287519
0.65202271589078
0.445838421583176
0.139503840357065
0.94771453505382
Dataseries Z:
-0.0609689973890212
-0.652469312284834
0.592760497632732
0.376411785401814
1.73999142235068
-1.01374155611739
0.218214540519808
-0.162920992012657
-0.898800663610283
1.44805523300970
-1.23867008011203
-2.19680600703173
-0.9872461164103
1.19863252329405
-1.54081752416937
-0.613322779729378
-0.654792857955235
-1.09762071477220
0.306583836195695
-1.0289864231537
-1.97834457668519
-0.00676373040130577
-0.559991436840702
-0.527094040485988
1.05091756459149
-0.775733419487524
-0.164284259518420
-0.724100822587619
-0.450177142606805
-0.0591791205049892
1.38578867039189
-0.170334602479229
-0.278554779000352
-0.950884725107693
-0.245358656452802
0.386368050923151
-0.677191052614716
-1.26730100326889
1.64316551211090
0.930514948621128
0.55621797782886
-0.297068034955465
0.87139751188139
1.02661346775124
-0.836462118148779
0.352379052673988
-0.355012179452557
0.245581950505078
-0.944359258626813
-0.896992833746135
-0.63659189049388
-0.323616390673657
0.385641877678535
0.768780413721847
-0.795990072513052
0.211064362531544
-0.0888162606622013
-0.83655546889766
0.497254174711609
0.777508427224123
-0.831924469666825
0.862413356523478
0.546799699431496
0.0544865750080868
-0.92227197289652
-0.37152720272725
0.387031045940101
-1.05495778407955
-0.197333258495614
0.00771867323821582
0.212697850513857
1.19644312557233
-1.08847255407813
0.936381306366479
0.0427434190350291
-0.998756512926885
-0.919018004364988
-0.4960191154913
-0.74040794893016
-0.0865803478777952
1.00159916228768
-0.745620464448972
1.05416561484720
-1.25047762828780
0.912433112748841
1.33727049501483
-0.103339312804440
-0.439729932041357
-0.114590995727182
-0.284020421428478
0.720722860882251
-0.0941657449560075
-0.6796113672262
-2.85957654725813
-0.486313483282783
0.204024174053954
0.414744361388426
-0.301821735298260
-2.63853401479262
0.112365549536449
> 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] 0.0169092
[1] -0.03377535
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(RCx, RCy))
print(cor(RCx, RCz))
}