Repository of Reproducible Computations

Free Statistics

of Irreproducible Research!

Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_Pregnancy and cognition.wasp

Title produced by software

Correlation

Date of computation

Sun, 23 Nov 2014 17:09:29 +0000

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/2014/Nov/23/t1416762578fc381dt7j046ph5.htm/, Retrieved Sun, 19 May 2024 13:00:17 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=258063, Retrieved Sun, 19 May 2024 13:00:17 +0000

QR Codes:

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-     [Histogram, QQplot and Density] [] [2014-10-11 09:05:01] [32b17a345b130fdf5cc88718ed94a974]
- RM D    [Correlation] [] [2014-11-23 17:09:29] [d39ba099107fddb6b3ada692142e09dd] [Current]

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Dataseries X:

Download CSV

Histogram

Boxplots

'SMK'
'SMK'
'SMK'
'SMK'
'SMK'
'SMK'
'SMK'
'SMK'
'SMK'
'SMK'
'SMK'
'SMK'
'SMK'
'SMK'
'SMK'
'SMK'
'SMK'
'SMK'
'SMK'
'SMK'
'SMK'
'SMK'
'SMK'
'SMK'
'SMK'
'SMK'
'SMK'
'SMK'
'SMK'
'SMK'
'SMK'
'SMK'
'SMK'
'SMK'
'SMK'
'SMK'
'SMK'
'SMK'
'SMK'
'SMK'
'NS'
'NS'
'NS'
'NS'
'NS'
'NS'
'NS'
'NS'
'NS'
'NS'
'NS'
'NS'
'NS'
'NS'
'NS'
'NS'
'NS'
'NS'
'NS'
'NS'
'NS'
'NS'
'NS'
'NS'
'NS'
'NS'
'NS'
'NS'
'NS'
'NS'
'NS'
'NS'
'NS'
'NS'
'NS'
'NS'
'NS'
'NS'
'NS'
'NS'

Dataseries Y:

Download CSV

Histogram

'hot'
'hot'
'hot'
'hot'
'hot'
'hot'
'hot'
'hot'
'hot'
'hot'
'hot'
'hot'
'hot'
'hot'
'hot'
'hot'
'hot'
'hot'
'hot'
'hot'
'mild'
'mild'
'mild'
'mild'
'mild'
'mild'
'mild'
'mild'
'mild'
'mild'
'mild'
'mild'
'mild'
'mild'
'mild'
'mild'
'mild'
'mild'
'mild'
'mild'
'hot'
'hot'
'hot'
'hot'
'hot'
'hot'
'hot'
'hot'
'hot'
'hot'
'hot'
'hot'
'hot'
'hot'
'hot'
'hot'
'hot'
'hot'
'hot'
'hot'
'mild'
'mild'
'mild'
'mild'
'mild'
'mild'
'mild'
'mild'
'mild'
'mild'
'mild'
'mild'
'mild'
'mild'
'mild'
'mild'
'mild'
'mild'
'mild'
'mild'

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	0 seconds
R Server	'Gertrude Mary Cox' @ cox.wessa.net
R Engine error message	Error in plot.window(...) : need finite 'xlim' values Calls: plot -> plot.default -> localWindow -> plot.window In addition: Warning messages: 1: In xy.coords(x, y, xlabel, ylabel, log) : NAs introduced by coercion 2: In xy.coords(x, y, xlabel, ylabel, log) : NAs introduced by coercion 3: In min(x) : no non-missing arguments to min; returning Inf 4: In max(x) : no non-missing arguments to max; returning -Inf 5: In min(x) : no non-missing arguments to min; returning Inf 6: In max(x) : no non-missing arguments to max; returning -Inf Execution halted

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 0 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
R Engine error message & Error in plot.window(...) : need finite 'xlim' values
Calls: plot -> plot.default -> localWindow -> plot.window
In addition: Warning messages:
1: In xy.coords(x, y, xlabel, ylabel, log) : NAs introduced by coercion
2: In xy.coords(x, y, xlabel, ylabel, log) : NAs introduced by coercion
3: In min(x) : no non-missing arguments to min; returning Inf
4: In max(x) : no non-missing arguments to max; returning -Inf
5: In min(x) : no non-missing arguments to min; returning Inf
6: In max(x) : no non-missing arguments to max; returning -Inf
Execution halted
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=258063&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]0 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[ROW][C]R Engine error message[/C][C]Error in plot.window(...) : need finite 'xlim' values
Calls: plot -> plot.default -> localWindow -> plot.window
In addition: Warning messages:
1: In xy.coords(x, y, xlabel, ylabel, log) : NAs introduced by coercion
2: In xy.coords(x, y, xlabel, ylabel, log) : NAs introduced by coercion
3: In min(x) : no non-missing arguments to min; returning Inf
4: In max(x) : no non-missing arguments to max; returning -Inf
5: In min(x) : no non-missing arguments to min; returning Inf
6: In max(x) : no non-missing arguments to max; returning -Inf
Execution halted
[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=258063&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=258063&T=0

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	0 seconds
R Server	'Gertrude Mary Cox' @ cox.wessa.net
R Engine error message	Error in plot.window(...) : need finite 'xlim' values Calls: plot -> plot.default -> localWindow -> plot.window In addition: Warning messages: 1: In xy.coords(x, y, xlabel, ylabel, log) : NAs introduced by coercion 2: In xy.coords(x, y, xlabel, ylabel, log) : NAs introduced by coercion 3: In min(x) : no non-missing arguments to min; returning Inf 4: In max(x) : no non-missing arguments to max; returning -Inf 5: In min(x) : no non-missing arguments to min; returning Inf 6: In max(x) : no non-missing arguments to max; returning -Inf Execution halted

Parameters (Session):

par1 = 10 ;

Parameters (R input):

par1 = pearson ; par2 = two.sided ;

R code (references can be found in the software module):

bitmap(file='test1.png')
plot(x,y, xlab=xlab, ylab=ylab)
abline(coef=(lm(y ~ x))$coeff, col='red')
ctp<-cor.test(x, y, use='pair', method='pearson')
legend('bottomright', c('cor =', as.character(round(ctp$estimate, digits=4))))
dev.off()
(sw1<-shapiro.test(x))
(sw2<-shapiro.test(y))
(cxy<-cor.test(x, y, method=par1))
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,paste('Shapiro Test (', xlab,')',sep=''),3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Statistic W',header=TRUE)
a<-table.element(a,'Probability',header=TRUE)
a<-table.element(a,'Link',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,round(sw1$statistic, digits=4))
a<-table.element(a,round(sw1$p.value, digits=4))
a<-table.element(a,hyperlink('http://en.wikipedia.org/wiki/Shapiro%E2%80%93Wilk_test','Shapiro-Wilk Test','Shapiro-Wilk Test'))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, paste('Shapiro Test (', ylab,')',sep=''),3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Statistic W',header=TRUE)
a<-table.element(a,'probability',header=TRUE)
a<-table.element(a,'Link',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,round(sw2$statistic, digits=4))
a<-table.element(a,round(sw2$p.value, digits=4))
a<-table.element(a,hyperlink('http://en.wikipedia.org/wiki/Shapiro%E2%80%93Wilk_test','Shapiro-Wilk Test','Shapiro-Wilk Test'))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Correlation Test X-Y',5,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Statistic',header=TRUE)
a<-table.element(a,'Value',header=TRUE)
a<-table.element(a,'probability',header=TRUE)
a<-table.element(a,'Method',header=TRUE)
a<-table.element(a,'alternative',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,names(cxy$estimate))
a<-table.element(a,round(cxy$estimate, digits=4))
a<-table.element(a,round(cxy$p.value, digits=4))
a<-table.element(a,cxy$method)
a<-table.element(a,cxy$alternative)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable2.tab')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code