Free Statistics

of Irreproducible Research!

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_bidataseries.wasp
Title produced by softwareBivariate Data Series
Date of computationTue, 09 Nov 2010 14:56:46 +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/Nov/09/t1289314508lkpit7r6zyx7f85.htm/, Retrieved Sun, 28 Apr 2024 19:55:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=92972, Retrieved Sun, 28 Apr 2024 19:55:10 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact133
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]
-  MPD    [Bivariate Data Series] [] [2010-11-09 14:56:46] [c05c5ae4ce2db58f67fd725429d7f25c] [Current]
- RMP       [Bivariate Data Series] [] [2011-11-15 22:42:01] [74be16979710d4c4e7c6647856088456]
Feedback Forum

Post a new message
Dataseries X:
553.12
568.15
552.75
510.65
524.93
532.95
540.84
540.22
553.75
529.69
525.93
527.31
527.31
512.03
502.76
496.62
492.23
495.12
469.93
492.36
497.87
480.21
462.29
456.03
456.22
460.41
466.59
441.37
455.31
426.96
419.7
419.7
416.44
404.04
388.63
397.65
390.38
378.1
384.87
419.19
427.96
413.81
408.04
410.3
405.66
400.9
387
388.25
390
416.44
436.11
428.79
424.16
409.12
392.01
388.37
373.97
358.93
371.96
353.92
364.95
340.52
353.67
361.19
364.7
359.43
371.21
385.24
389.63
433.23
407.79
400.9
385.87
406.67
406.04
418.19
429.22
420.95
402.78
391.01
416.94
397.14
406.67
419.44
422.2
435.98
470.81
504.51
497.25
508.52
522.43
551.62
537.59
559.76
558.26
563.27
558.01
563.27
564.15
582.81
592.96
602.73
581.06
595.47
605.36
615.39
602.48
565.65
565.65
566.9
558.63
547.48
543.72
517.42
526.31
512.4
496.12
503.63
501.13
499.88
501.13
494.86
488.6
482.34
447.26
440.99
418.44
418.44
412.18
394.64
334.5
328.24
319.47
323.23
328.24
365.82
371.88
340.6
337.48
337.22
313.96
308.39
307.57
295.4
297.04
341.89
341.18
352.12
367.36
364.88
363.09
351.25
349.29
335.47
320.1
310.7
312.39
309.68
309.67
328.92
337.01
327.79
324.38
313.93
310.83
316.62
325.5
320.03
320.1
338.13
379.25
376.82
398.37
394.46
411.95
425.91
444.48
433.45
446.07
426.04
447.06
467.94
516.73
520.27
516.49
519.41
537.66
547.44
507.04
495.99
436.58
453.11
456.77
450.38
439.18
416.56
440.06
447.61
420.32
417.67
404.38
416.41
419.48
417.72
408.62
442.94
425.82
451.19
467.49
478.76
478.56
427.63
448.81
435.41
434.67
413.62
399.02
406.64
384.83
379.81
355.7
348.24
308.83
296.93
280.11
286.85
294.93
294.77
299.37
287.1
297.46
298.88
288.74
288.32
286.32
254.34
247.09
247.29
255.49
267.26
276.44
260.07
267.1
273.81
290.37
293.98
302.36
289.92
283.27
279.87
267.66
286.88
309.69
323.95
315.36
327.52
325.69
326.92
328.26
348.94
340.53
330.29
335.91
376.13
444.11
516.35
529.16
525.07
519.78
548.84
539.68
534.99
584.34
664.34
691.81
689.34
725.81
734.89
681.58
685.72
633.01
680.28
684.95
653.47
647.28
602.73
589.76
588.41
613.51
611.93
587.69
554.63
533.09
560.59
553.05
528.97
500.93
508.86
537.86
547.3
556.94
549.33
545.18
543.69
543.49
553.32
563.57
531.87
517.85
500.83
481.51
479.73
496.6
520.76
528.71
515.46
522
515.63
522.87
534.29
521.83
524.66
640.02
644.21
715.51
706.96
724.75
742.55
788.25
787.58
761.64
732.83
765.24
807.45
828.19
817.45
840.86
843.77
835.3
823.97
781.49
778.46
793.63
717.57
656.35
510.28
450.98
477.83
464.59
449.72
460.47
516.6
599.31
609.15
609.3
655.49
690.91
743.59
756.8
780.4
842.74
818.72
847.84
817.97
763.94
762.81
777.29
786.94
766.28
Dataseries Y:
684.28
722.57
695.96
688.13
720.76
737.26
736.9
727.38
728.83
715.58
735.93
758.69
758.69
740.99
719.44
721.24
737.38
756.52
745.32
733.76
738.46
736.65
737.5
725.22
722.45
720.44
733.6
662.93
763.87
746.67
712.59
655.02
660.2
633.59
627.08
635.63
668.87
656.7
631.9
610.83
632.98
631.06
644.3
647.55
655.14
674.4
676.21
670.43
683.43
703.42
708.48
714.5
706.19
694.15
658.15
648.4
630.82
634.19
658.15
636.11
640.33
601.8
611.07
634.31
625.76
596.86
604.09
587.11
583.13
579.16
551.47
541.83
569.53
564.71
572.06
578.56
595.78
567.84
534.25
519.08
531.96
551.83
560.62
579.52
593.13
626.72
715.1
832.38
837.2
879.46
881.99
1044.9
924.73
987.95
966.15
1016.72
1107.27
1296.67
1379.75
1543.03
1570.12
1538.81
1484.63
1451.27
1414.91
1456.93
1319.19
1267.89
1349.77
1240.2
1189.51
1117.87
1080.06
1054.77
1019.47
1049.96
1060.79
1070.42
1075.24
1080.06
1074.04
1062
1064.4
1071.63
1057.18
898.24
895.83
951.22
936.77
901.85
888.61
870.55
887.41
596.02
586.39
596.02
721
777.51
723.48
680.64
613.45
558.18
641.49
652.19
619.37
655.83
667.93
667.7
663.07
633.89
595.28
568.94
572.72
535.26
508.04
512.94
495.22
469.37
469.37
429.69
468.13
470.06
464.93
450.74
423.51
454.84
497.77
465.45
542.31
606.03
609.58
645.79
719.63
779.41
773.5
806.82
876.1
824.64
881.7
878.41
904.18
892.34
887.13
867.85
839.28
826.06
751.11
789.25
732.98
622.07
600.95
590.53
584.39
525.31
573.83
597.67
743.54
701.36
671.43
751.65
738.33
681.61
616.97
632.94
677.73
730.96
719.66
764.21
805
829.35
826.26
765.93
801.91
769.16
739.89
688.07
636.11
631.72
625.92
627.82
606.13
595.3
583.14
500.19
462.89
417.47
472.27
474.81
489.07
493.14
626.64
680.43
620.3
676.74
690.03
631.04
623.26
619.83
631.74
648.77
724.21
727.09
767.31
801.42
817.72
764.33
746.93
717.29
695.9
688.38
663.53
688.39
716.14
733.28
688.23
760.63
716.77
683.81
630.79
617.91
524.19
441.98
466.09
501.44
599.55
621.99
607.57
614.56
619.09
603.14
569.12
575.72
642.41
748.18
768.39
763.16
800.63
778.49
733.7
740.17
678.33
697.09
678.54
670.87
674.52
664.39
646.52
661.25
729.36
721.52
708.75
706.12
676.93
708.15
717.64
714.35
703.6
718.96
736.03
717.96
730.77
734.66
728.58
729.18
717.13
684.6
692.06
668.84
647.4
622.57
593.69
583.24
639.17
709.73
698.75
697.7
732.25
714.49
704.85
717.56
704.91
690.74
790.34
790.69
893.66
875.62
914.02
940.37
989.08
987.73
936.34
914.11
943.08
1080.64
1102.71
1097.26
1157.37
1154.25
1136
1133.42
1062.44
1041.1
1047.97
941.71
896.79
734.91
646.17
666.39
625.45
586.26
617.15
686.86
761.34
741.73
763.62
822.57
867.58
944.85
953.95
970.08
1003.22
972.81
1003.86
991.83
919.13
919.52
916.17
936.18
960.65




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=92972&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=92972&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=92972&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135



Parameters (Session):
par1 = Ruwe wol ; par2 = www.ico.org ; par3 = Prices coare wool in dollar cent('80-2010) ; par4 = Fijne wol ; par5 = www.ico.org ; par6 = Prices fine wool in dollar cent per kg('80-2010) ;
Parameters (R input):
par1 = Ruwe wol ; par2 = www.ico.org ; par3 = Prices coare wool in dollar cent( ; par4 = Fijne wol ; par5 = www.ico.org ; par6 = Prices fine wool in dollar cent per kg( ;
R code (references can be found in the software module):
bitmap(file='test1.png')
op <- par(mfrow=c(2,2))
plot(x,type='b',main='Plot of x',xlab=xlab,ylab=ylab)
plot(y,type='b',main='Plot of y',xlab=xlab,ylab=ylab)
hist(x)
hist(y)
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Bivariate Dataseries',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Name of dataseries x',header=TRUE)
a<-table.element(a,par1)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Source of x',header=TRUE)
a<-table.element(a,par2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Description of x',header=TRUE)
a<-table.element(a,par3)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Name of dataseries y',header=TRUE)
a<-table.element(a,par4)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Source of y',header=TRUE)
a<-table.element(a,par5)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Description of y',header=TRUE)
a<-table.element(a,par6)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Number of observations',header=TRUE)
a<-table.element(a,length(x))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')