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Description of Statistical Computation

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 computationSat, 29 Aug 2009 17:01:47 -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/2009/Aug/30/t12515869091q7f6p2p0ue5usf.htm/, Retrieved Sun, 05 May 2024 04:50:29 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=42973, Retrieved Sun, 05 May 2024 04:50:29 +0000
QR Codes:

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 keywordsblogtest
Estimated Impact241

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Bagplot] [test] [2009-08-13 21:20:56] [b98453cac15ba1066b407e146608df68]
- RMPD    [R console] [correlation test] [2009-08-29 23:01:47] [256f657a32c6b2b7628dddcfa9a822d0] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
-1.23898463001445	-0.439966438152365
-0.0603164254528264	-1.25989756140679
-2.58460422516154	0.960528798498823
0.773870982178124	0.954711832326916
0.169528880113061	0.638284198507943
-0.291864272836566	0.0513364392259876
0.198120442799533	0.903618580515252
-1.62276470529960	0.488076763939513
0.693627261433901	2.01585262974704
-1.41033229946526	-0.0906703429223963
0.58979674430614	0.864200377738027
0.0199585399658409	-0.0661524322968324
1.72887002169133	-1.49598116939944
0.958755282429598	-0.178098379973317
1.22537341244611	-0.859053618939166
-0.594948779165072	-1.41526435029997
0.303622665720047	-0.116552815013943
-0.0629552266653635	-0.442718408944128
1.11587834086861	-0.169124458597329
0.0946765288111667	-1.80872741524225
0.389828329377609	2.14636540560490
0.845310035492925	-1.39558250600456
1.63293119286397	-0.503704141522956
0.422854245200915	1.23791149072288
0.315886543345934	-1.19227836937224
-1.31271402308035	0.396710116419303
1.03211242096652	1.75216413819452
0.677376651841988	-0.00616891559632015
1.15530503286584	-1.18272504637606
-1.22996531364669	0.362432101872329
0.30969331782038	-0.500174970524509
-0.9568659561503	-0.99926023344905
0.253723479132294	0.255071917186551
-2.21688879223726	1.56650916893624
-0.730509907787133	0.567602789879964
1.97540537712330	0.0329408859296437
0.673531134725722	-2.66181795078345
-1.52933697531635	0.993496775222839
-0.837300671524453	0.884901250733245
0.162804974022089	0.057030275508549
0.161551310993178	-0.873765543330094
-1.50703832092723	-1.31784076990589
0.771447424831402	3.01009760125672
0.68769484185633	1.34998126288683
2.65985873326011	0.872340280290565
1.84382306749596	-0.112135786556078
0.376588970024935	-0.702737423626425
-0.922129886363108	-1.4714484808884
-1.31609375781377	-1.02687937826102
-1.30557455515497	0.187644369740978

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 = -0.2282, df = 48, p-value = 0.8204
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 -0.3084451  0.2476936 
sample estimates:
       cor 
-0.0329241

Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 'mytitle' ;
Parameters (R input):
R code (body of R function):
{
    
    plot(x$X1, x$X2, main = par1)
    
    res <- cor.test(x$X1, x$X2)
    print(res)
}