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 | Sat, 22 Aug 2009 04:00:42 -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/Aug/22/t1250935244gawnzodkk7mqiwk.htm/, Retrieved Sun, 19 May 2024 14:58:09 +0000 |
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=42970, Retrieved Sun, 19 May 2024 14:58:09 +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 | blogtest |
Estimated Impact | 238 |
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] [2009-08-22 10:00:42] [256f657a32c6b2b7628dddcfa9a822d0] [Current] | |
Feedback Forum | |
Post a new message | |
Dataset | |
Dataseries X: | |
-1.09810108611744 -0.189527109460563 0.411637718476761 1.51724199516497 -1.81978380952616 0.0445388831738316 -0.221295011732731 1.75421836427935 0.886170314101806 0.645527562439623 0.877486216387707 0.652623087968447 -0.120262042179671 -0.53995017433775 0.322389116068211 -0.224671622521451 -1.21519669398575 0.589511545079891 0.965450923409005 0.836574640812792 2.88458727835483 0.488950553441741 1.8085178262 -1.53063589745006 -1.57389524981970 0.213886362774563 0.606806747061263 0.98759965623051 -0.247130077425375 -0.986070448067616 -1.59485065599503 0.052742210631368 -1.02694633659613 -0.242428235919929 0.376317301323718 0.0199824076393307 -0.85574593783306 -1.22755419816088 -0.364399477124172 -0.511405526593713 0.131035178028096 0.353650756593185 -1.90409376600406 0.146042734427345 0.857531431590424 1.30638494175706 1.29904201708063 -0.926818444326453 -0.299229278528072 0.222819593011390 0.544342714546107 1.20068002086868 2.08391195814492 -0.037703647496876 0.401158649178917 -1.28354779671469 -0.390708554330372 0.78487154072008 0.64250041371431 -0.174137363722443 -0.236889967126192 -1.25342335259812 2.30709836370194 -1.24221846518926 0.348787265852152 -0.155579011641008 0.275872070865873 -0.992147747180489 -0.504278731422774 1.89790473306541 0.838017473905744 -1.93630804996099 -0.600342989035527 0.0438855010763694 1.92792252845804 0.0352851161824769 -1.01128122353643 0.0784722385885222 2.36894371968016 -1.73254551036171 -1.15162846295889 2.61120605430408 -1.09728925611801 -0.408271078707764 0.149623313657257 -1.52588182521685 -0.822493110512286 0.413692500069733 -0.524997318463012 0.839958141557784 -0.378368188603689 -0.381804321245045 -0.442092092143585 0.156206662712548 -0.450854961610048 -0.971918360642858 -1.2784212477901 0.72562435680177 0.930446098582843 0.40040746512944 | |
Tables (Output of Computation) | |
> title = 'my title' > { + plot(RCx$X1, RCx$X2, main = title) + res <- cor.test(RCx$X1, RCx$X2) + print(res) + } Pearson's product-moment correlation data: RCx$X1 and RCx$X2 t = -1.5451, df = 48, p-value = 0.1289 alternative hypothesis: true correlation is not equal to 0 95 percent confidence interval: -0.46768433 0.06458799 sample estimates: cor -0.2176730 | |
Figures (Output of Computation) | |
Input Parameters & R Code | |
Parameters (Session): | |
par1 = 'mytitle' ; | |
Parameters (R input): | |
R code (body of R function): | |
{ |