## Free Statistics

of Irreproducible Research!

Author's title
Author*The author of this computation has been verified*
R Software Modulerwasp_edauni.wasp
Title produced by softwareUnivariate Explorative Data Analysis
Date of computationFri, 11 Nov 2011 08:27:18 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Nov/11/t1321018100860q16pqqpmrmeb.htm/, Retrieved Thu, 30 May 2024 16:37:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=141334, Retrieved Thu, 30 May 2024 16:37:10 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact151
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Bivariate Data Series] [Bivariate dataset] [2008-01-05 23:51:08] [74be16979710d4c4e7c6647856088456]
F RMPD  [Univariate Explorative Data Analysis] [Colombia Coffee] [2008-01-07 14:21:11] [74be16979710d4c4e7c6647856088456]
- RMPD      [Univariate Explorative Data Analysis] [] [2011-11-11 13:27:18] [858ef1d716a843f745df26a736207017] [Current]
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Dataseries X:
255
280.2
299.9
339.2
374.2
393.5
389.2
381.7
375.2
369
357.4
352.1
346.5
342.9
340.3
328.3
322.9
314.3
308.9
294
285.6
281.2
280.3
278.8
274.5
270.4
263.4
259.9
258
262.7
284.7
311.3
322.1
327
331.3
333.3
321.4
327
320
314.7
316.7
314.4
321.3
318.2
307.2
301.3
287.5
277.7
274.4
258.8
253.3
251
248.4
249.5
246.1
244.5
243.6
244
240.8
249.8
248
259.4
260.5
260.8
261.3
259.5
256.6
257.9
256.5
254.2
253.3
253.8
255.5
257.1
257.3
253.2
252.8
252
250.7
252.2
250
251
253.4
251.2
255.6
261.1
258.9
259.9
261.2
264.7
267.1
266.4
267.7
268.6
267.5
268.5
268.5
270.5
270.9
270.1
269.3
269.8
270.1
264.9
263.7
264.8
263.7
255.9
276.2
360.1
380.5
373.7
369.8
366.6
359.3
345.8
326.2
324.5
328.1
327.5
324.4
316.5
310.9
301.5
291.7
290.4
287.4
277.7
281.6
288
276
272.9
283
283.3
276.8
284.5
282.7
281.2
287.4
283.1
284
285.5
289.2
292.5
296.4
305.2
303.9
311.5
316.3
316.7
322.5
317.1
309.8
303.8
290.3
293.7
291.7
296.5
289.1
288.5
293.8
297.7
305.4
302.7
302.5
303
294.5
294.1
294.5
297.1
289.4
292.4
287.9
286.6
280.5
272.4
269.2
270.6
267.3
262.5
266.8
268.8
263.1
261.2
266
262.5
265.2
261.3
253.7
249.2
239.1
236.4
235.2
245.2
246.2
247.7
251.4
253.3
254.8
250
249.3
241.5
243.3
248
253
252.9
251.5
251.6
253.5
259.8
334.1
448
445.8
445
448.2
438.2
439.8
423.4
410.8
408.4
406.7
405.9
402.7
405.1
399.6
386.5
381.4
375.2
357.7
359
355
352.7
344.4
343.8
338
339
333.3
334.4
328.3
330.7
330
331.6
351.2
389.4
410.9
442.8
462.8
466.9
461.7
439.2
430.3
416.1
402.5
397.3
403.3
395.9
387.8
378.6
377.1
370.4
362
350.3
348.2
344.6
343.5
342.8
347.6
346.6
349.5
342.1
342
342.8
339.3
348.2
333.7
334.7
354
367.7
363.3
358.4
353.1
343.1
344.6
344.4
333.9
331.7
324.3
321.2
322.4
321.7
320.5
312.8
309.7
315.6
309.7
304.6
302.5
301.5
298.8
291.3
293.6
294.6
285.9
297.6
301.1
293.8
297.7
292.9
292.1
287.2
288.2
283.8
299.9
292.4
293.3
300.8
293.7
293.1
294.4
292.1
291.9
282.5
277.9
287.5
289.2
285.6
293.2
290.8
283.1
275
287.8
287.8
287.4
284
277.8
277.6
304.9
294
300.9
324
332.9
341.6
333.4
348.2
344.7
344.7
329.3
323.5
323.2
317.4
330.1
329.2
334.9
315.8
315.4
319.6
317.3
313.8
315.8
311.3

 Summary of computational transaction Raw Input view raw input (R code) Raw Output view raw output of R engine Computing time 2 seconds R Server 'Gwilym Jenkins' @ jenkins.wessa.net

\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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=141334&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=141334&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=141334&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 2 seconds R Server 'Gwilym Jenkins' @ jenkins.wessa.net

 Descriptive Statistics # observations 360 minimum 235.2 Q1 269.1 median 296.45 mean 308.350833333333 Q3 334.475 maximum 466.9

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 360 \tabularnewline
minimum & 235.2 \tabularnewline
Q1 & 269.1 \tabularnewline
median & 296.45 \tabularnewline
mean & 308.350833333333 \tabularnewline
Q3 & 334.475 \tabularnewline
maximum & 466.9 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=141334&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]360[/C][/ROW]
[ROW][C]minimum[/C][C]235.2[/C][/ROW]
[ROW][C]Q1[/C][C]269.1[/C][/ROW]
[ROW][C]median[/C][C]296.45[/C][/ROW]
[ROW][C]mean[/C][C]308.350833333333[/C][/ROW]
[ROW][C]Q3[/C][C]334.475[/C][/ROW]
[ROW][C]maximum[/C][C]466.9[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=141334&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=141334&T=1

As an alternative you can also use a QR Code:

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

 Descriptive Statistics # observations 360 minimum 235.2 Q1 269.1 median 296.45 mean 308.350833333333 Q3 334.475 maximum 466.9

par1 <- as.numeric(par1)par2 <- as.numeric(par2)x <- as.ts(x)library(lattice)bitmap(file='pic1.png')plot(x,type='l',main='Run Sequence Plot',xlab='time or index',ylab='value')grid()dev.off()bitmap(file='pic2.png')hist(x)grid()dev.off()bitmap(file='pic3.png')if (par1 > 0){densityplot(~x,col='black',main=paste('Density Plot   bw = ',par1),bw=par1)} else {densityplot(~x,col='black',main='Density Plot')}dev.off()bitmap(file='pic4.png')qqnorm(x)grid()dev.off()if (par2 > 0){bitmap(file='lagplot.png')dum <- cbind(lag(x,k=1),x)dumdum1 <- dum[2:length(x),]dum1z <- as.data.frame(dum1)zplot(z,main=paste('Lag plot, lowess, and regression line'))lines(lowess(z))abline(lm(z))dev.off()bitmap(file='pic5.png')acf(x,lag.max=par2,main='Autocorrelation Function')grid()dev.off()}summary(x)load(file='createtable')a<-table.start()a<-table.row.start(a)a<-table.element(a,'Descriptive Statistics',2,TRUE)a<-table.row.end(a)a<-table.row.start(a)a<-table.element(a,'# observations',header=TRUE)a<-table.element(a,length(x))a<-table.row.end(a)a<-table.row.start(a)a<-table.element(a,'minimum',header=TRUE)a<-table.element(a,min(x))a<-table.row.end(a)a<-table.row.start(a)a<-table.element(a,'Q1',header=TRUE)a<-table.element(a,quantile(x,0.25))a<-table.row.end(a)a<-table.row.start(a)a<-table.element(a,'median',header=TRUE)a<-table.element(a,median(x))a<-table.row.end(a)a<-table.row.start(a)a<-table.element(a,'mean',header=TRUE)a<-table.element(a,mean(x))a<-table.row.end(a)a<-table.row.start(a)a<-table.element(a,'Q3',header=TRUE)a<-table.element(a,quantile(x,0.75))a<-table.row.end(a)a<-table.row.start(a)a<-table.element(a,'maximum',header=TRUE)a<-table.element(a,max(x))a<-table.row.end(a)a<-table.end(a)table.save(a,file='mytable.tab')