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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 computationMon, 31 Aug 2009 12:10:28 -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/31/t12517422300dkfahzbyim9v5y.htm/, Retrieved Mon, 06 May 2024 15:50:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=42976, Retrieved Mon, 06 May 2024 15:50:09 +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 Impact235

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Spectral Analysis] [] [2009-06-19 08:45:25] [b98453cac15ba1066b407e146608df68]
- RMPD    [R console] [correlation test] [2009-08-31 18:10:28] [256f657a32c6b2b7628dddcfa9a822d0] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
-1.27727009020792	0.482493860984373
0.359162753176106	-0.138863560716465
0.580446981204343	-0.398222825857874
0.277301848182217	-1.13676025969360
0.478588305874669	-1.91820284942325
-1.11174151692594	-1.00715178031221
0.517545922027268	2.11346945099162
0.727387125489287	-0.511349116406935
-0.250965030706011	0.272183656608295
-1.04734294213924	0.0886197610476271
0.388191887196504	0.824315578726919
-0.188935400406384	0.216701704067522
-0.37639012911521	-0.775856210691298
-1.61851709337684	0.114477542383322
-1.45492722524709	-0.783989930710514
1.05827107330168	-0.31790855897573
0.483133857842346	1.12519189974254
-0.669411027856674	-1.73701648326859
0.913110415880422	-0.0266542841729206
0.00227694887911690	-1.61737125934217
0.564728009576605	-0.175523919180683
-2.073305433872	0.132440696855259
-0.165310486835592	-1.42455749987090
-0.984711912527425	-0.935801277799031
-0.431212046299194	-1.85556764115068
-1.52868404434444	1.2880932883238
-0.178744307972418	1.76829567770725
-0.579711484957435	0.0537550297565222
-0.200191529586478	0.785081006969364
-1.75500984043470	0.606706775891731
-0.702643755798583	-1.35976747966109
-1.43316478404644	0.980090481251435
0.235190051127518	0.0357981785276385
-0.422256099543657	-0.387400789057854
-0.0720065587878162	-0.383515889784851
-1.87174010496028	0.598033035536933
1.81121053321202	1.15160528458993
-1.06656111629967	-0.228083985742934
0.305957540108089	-0.626792321322032
0.475679722469415	0.961603170580432
-0.0489565040219860	0.59679980352641
0.291888534797808	0.706926002144715
-0.9880107624271	-0.354890330737817
0.381793755471945	-1.30845202544820
1.04588013926654	-0.579051344070254
-0.623691261387904	0.0198404520298670
0.854662147990061	-0.676173182726806
-1.00737641697612	1.61893934937181
0.414274844449675	0.425814987292635
1.287105496273	1.64023370040063

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 = 0.1177, df = 48, p-value = 0.9068
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 -0.2626042  0.2939431 
sample estimates:
       cor 
0.01698508

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)
}