of Irreproducible Research!
Description of Statistical Computation | |
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Author's title | |
Author | *The author of this computation has been verified* |
R Software Module | Rscript (source code is shown below) |
Title produced by software | R console |
Date of computation | Fri, 24 Jul 2009 10:16:38 -0600 |
Cite this page as follows | Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Jul/24/t1248452199cmq3xiz19lbe2r2.htm/, Retrieved Sat, 18 May 2024 12:52:28 +0000 |
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=42388, Retrieved Sat, 18 May 2024 12:52:28 +0000 | |
QR Codes: | |
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Original text written by user: | This example is used in the manual files of the RC package. |
IsPrivate? | No (this computation is public) |
User-defined keywords | manRCx |
Estimated Impact | 212 |
Tree of Dependent Computations | |
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data) | |
- [R console] [correlation test] [2009-07-24 16:16:38] [256f657a32c6b2b7628dddcfa9a822d0] [Current] | |
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Dataset | |
Dataseries X: | |
1.31778221846207 1.79645166542780 -1.38649216309339 -1.28711313795901 -0.0979664550827042 -3.20052843532822 0.318721911697395 -0.94424953897055 0.300456113361141 -0.211919976856853 0.241837489133727 1.52890961202943 0.638162608015183 0.613229998775758 1.43678266343378 0.824938796755621 0.0188635447933995 2.18587274696842 -0.818813003473457 0.024116547615017 -0.989299806488222 0.520150206604408 0.777764027430248 -0.58331910374323 0.136761490828208 0.224308233127073 0.0617623288565899 0.149897221659417 0.275212677713215 -1.47319216260874 0.19187109125662 -0.86671232087715 0.118670753176034 -0.268449408887851 0.245757196244278 -0.162157977065516 -1.81371916486853 -0.384326624043505 0.641666166691623 0.228026447593829 -1.65339172551174 -0.253430068000693 1.30366334888694 0.674744390321413 0.383313278326735 -0.424357199950747 -0.641939495512758 1.90365966152304 -1.48159883801880 -1.11883978256327 1.58805885021985 2.69845431242793 0.112242208477504 -0.886820877541027 0.744511488405436 0.620482332857551 -0.670789753026832 0.432390321756843 0.522223143335509 1.40612671826685 -1.48580214574118 1.98222249750817 0.244120401877364 -0.57939729250386 -1.68546201694449 -0.226440212667046 -0.256303489306543 0.810469874577852 0.14728652396726 -1.52228587661227 -0.0810805362609273 1.25145945116536 -0.487611078512713 -1.78746872030540 0.327542359392301 -1.61028732937125 -0.922355468573 0.858345172883643 0.0804868382079882 2.22232670006427 -0.228306200130792 -0.225509913201363 1.08582627576654 -2.61358910944919 1.29293157544092 0.943083461989554 -0.232548434566424 1.99214285936920 -0.858569526943972 -0.756712453524436 0.819087644275219 -0.210316977604306 -0.65302524891884 0.229252050011841 0.603418565081557 -0.601999228998822 -1.35730015925502 -0.260160218988984 -0.902988706081997 -0.078818242162563 | |
Tables (Output of Computation) | |
> { + res <- cor.test(RCx$X1, RCx$X2) + print(res) + } Pearson's product-moment correlation data: RCx$X1 and RCx$X2 t = 0.914, df = 48, p-value = 0.3653 alternative hypothesis: true correlation is not equal to 0 95 percent confidence interval: -0.1531303 0.3947682 sample estimates: cor 0.1307923 | |
Figures (Output of Computation) | |
Input Parameters & R Code | |
Parameters (Session): | |
Parameters (R input): | |
R code (body of R function): | |
{ |