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 | Thu, 28 Aug 2008 03:23:01 -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/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: | |
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Original text written by user: | no comments |
IsPrivate? | No (this computation is public) |
User-defined keywords | key1,key2 |
Estimated Impact | 258 |
Tree of Dependent Computations | |
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] | |
Feedback Forum | |
Post a new message | |
Dataset | |
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 | |
Tables (Output of Computation) | |
> 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 | |
Figures (Output of Computation) | |
Input Parameters & R Code | |
Parameters (Session): | |
par1 = 5 ; par2 = 7 ; par3 = hello ; | |
Parameters (R input): | |
R code (body of R function): | |
{ |