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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 computationWed, 23 Sep 2009 01:46:43 -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/Sep/23/t1253692005q7hldawhf7rfel3.htm/, Retrieved Fri, 19 Apr 2024 12:47:26 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=43001, Retrieved Fri, 19 Apr 2024 12:47:26 +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 Impact248

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] [2009-09-23 07:46:43] [256f657a32c6b2b7628dddcfa9a822d0] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
-0.603587569504248	0.0903333834964677
0.456793481420999	-0.462983460284063
0.68836857471527	0.629263308817853
0.681206111331602	1.03387389254118
-0.394544916054143	-0.946563269649112
1.04368980747146	-0.305886783040773
-0.104282146651156	1.09635851033353
2.10132734028122	0.100948426887387
-0.262493566532433	-0.0629138192586112
-0.753513856526121	-1.00936941451496
0.170236994081325	-0.57872399030376
-0.444611141151938	-0.333662713333354
-0.70414897754712	1.43436538041397
-0.791455660988697	-1.14886833918605
0.637063795765823	-0.96267466042059
-0.606350537658577	-1.13630140652132
-2.02374081475408	-2.19109122399720
-0.53091566580776	-0.233171255957852
-0.370262308795391	0.638621637380754
0.487275091218545	-0.993458213279501
-0.382842316828017	-0.992561032982792
-0.0055824840459708	-0.473086867408685
1.09330837823507	0.62744509053002
-0.0150912274714793	0.916216187007162
0.844749065804107	-0.322954211419127
0.113753572625428	-0.637883090836931
-0.580802725432952	-2.05822337775833
0.263020183426005	-0.550711611695321
-0.322357311665891	0.313154557701688
0.614185386856909	1.43286026780039
0.487818304442740	1.17673605542189
0.438777404704271	-0.131137226587201
-1.95076203164633	-0.295474391632602
0.59505918253513	0.509427747644112
1.02094021155102	0.158421375946129
0.43340421333824	1.28055714610623
1.08008065554954	0.166053119699061
1.46299906429072	-0.4483264732443
-0.534509141482431	1.93679862532907
0.394049048484759	0.307662909379780
1.29755806456103	-0.469659375719167
-0.439272127857303	1.39081497367774
1.46209409034926	-0.212161197260256
-0.169641714988746	-0.382711601726004
0.334733948169158	-1.61819123118974
0.19942040356675	-1.04476477775262
0.256813426584979	0.264389902286446
2.38336693344172	-0.411068595031767
-1.42940730434619	-0.370000846935263
-0.386938552629515	0.552612910647556

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 = 1.2116, df = 48, p-value = 0.2316
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 -0.1114213  0.4299982 
sample estimates:
      cor 
0.1722692

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)
}