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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 computationThu, 20 May 2010 11:49:52 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/May/20/t1274356193fw9uj7m5c1qy6i1.htm/, Retrieved Tue, 30 Apr 2024 23:23:34 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=76221, Retrieved Tue, 30 Apr 2024 23:23:34 +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 Impact225

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] [2010-05-20 11:49:52] [256f657a32c6b2b7628dddcfa9a822d0] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
-0.242785820789455	-0.448076049588504
-0.790414902430913	-1.75382675503891
-0.845508628765118	0.598045798635701
-0.551498842695536	-0.290982729275714
1.10549837371719	0.766328674031005
-0.268186190331807	-1.15048542431361
0.533430504997528	0.584360773221066
0.571927881404563	1.09134591128903
0.743830215420665	1.0815521912411
-0.39069483950893	0.00596137412423002
0.363463638936884	-0.303384342645692
1.73039254814022	0.298081843135412
1.34921012125058	-0.506669631928545
-0.448572462051871	0.4448765097719
-0.429336669470266	-0.178150754284342
1.61703924160225	-0.582074582141795
1.50403479192854	-0.0913845226259583
0.824814046254663	1.35087578896178
1.64236331580666	-0.0197604112456083
-1.14549528187242	-0.614229714278711
-0.538251513315787	0.614137334815754
-1.52108750948936	1.05861785526173
1.49407101497119	-0.929008042203786
-1.5051954035373	-0.35078585529749
0.412984395937957	1.19989043010522
-2.04013317528607	-0.892705026546438
0.366767741271024	-0.095858188618955
0.79099886105125	-0.579519422827632
-1.17728892549712	0.234912639522664
0.196065229185173	-0.862906892948017
-1.2565101018772	0.812099548297935
0.332605263346521	0.557045060894646
0.931306652111252	-1.08272735855011
1.00033780783978	-0.833515695504792
0.0994519142255626	0.628707158023596
1.75858162124756	-0.676403829354147
-1.00329949634692	-0.880995443879385
0.217398425560524	-0.743555779297397
-2.00831089528166	1.34488546658367
-0.478917975438608	0.0753817564369461
-1.19619969792589	2.17098731278984
-0.628049344983053	0.36175114034273
-0.524332109007275	1.09054764550555
1.00525166942522	-0.484982329707443
1.1664348074528	-0.328325171479315
0.563100947522032	-1.04361521474175
-1.25816993014076	1.54377711413856
0.01171495124387	-0.181381965528713
0.551509459113242	-2.49514811187921
0.68011484817904	1.45321003119153

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 = -1.5362, df = 48, p-value = 0.1311
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 -0.46670169  0.06583964 
sample estimates:
       cor 
-0.2164753

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)
}