Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Module--
Title produced by softwareMean Plot
Date of computationTue, 15 Nov 2011 17:51:55 -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/15/t1321397529lm7n2482dik0o48.htm/, Retrieved Thu, 28 Mar 2024 23:58:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=143650, Retrieved Thu, 28 Mar 2024 23:58:25 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact110
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Central Tendency] [Arabica Price in ...] [2008-01-19 12:03:37] [74be16979710d4c4e7c6647856088456]
F RMPD  [Mean Plot] [] [2010-11-05 14:54:37] [7789b9488494790f41ddb7f073cada1b]
-    D    [Mean Plot] [] [2010-11-09 15:04:09] [7789b9488494790f41ddb7f073cada1b]
-    D      [Mean Plot] [] [2010-11-09 15:12:57] [7789b9488494790f41ddb7f073cada1b]
- RM            [Mean Plot] [] [2011-11-15 22:51:55] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
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 time4 seconds
R Server'George Udny Yule' @ yule.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 & 4 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=143650&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]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=143650&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=143650&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 time4 seconds
R Server'George Udny Yule' @ yule.wessa.net



Parameters (Session):
par1 = 12 ;
Parameters (R input):
par1 = 12 ; par2 = ; par3 = ; par4 = ; par5 = ; par6 = ; par7 = ; par8 = ; par9 = ; par10 = ; par11 = ; par12 = ; par13 = ; par14 = ; par15 = ; par16 = ; par17 = ; par18 = ; par19 = ; par20 = ;
R code (references can be found in the software module):
par1 <- as.numeric(par1)
(n <- length(x))
(np <- floor(n / par1))
arr <- array(NA,dim=c(par1,np+1))
darr <- array(NA,dim=c(par1,np+1))
ari <- array(0,dim=par1)
dx <- diff(x)
j <- 0
for (i in 1:n)
{
j = j + 1
ari[j] = ari[j] + 1
arr[j,ari[j]] <- x[i]
darr[j,ari[j]] <- dx[i]
if (j == par1) j = 0
}
ari
arr
darr
arr.mean <- array(NA,dim=par1)
arr.median <- array(NA,dim=par1)
arr.midrange <- array(NA,dim=par1)
for (j in 1:par1)
{
arr.mean[j] <- mean(arr[j,],na.rm=TRUE)
arr.median[j] <- median(arr[j,],na.rm=TRUE)
arr.midrange[j] <- (quantile(arr[j,],0.75,na.rm=TRUE) + quantile(arr[j,],0.25,na.rm=TRUE)) / 2
}
overall.mean <- mean(x)
overall.median <- median(x)
overall.midrange <- (quantile(x,0.75) + quantile(x,0.25)) / 2
bitmap(file='plot1.png')
plot(arr.mean,type='b',ylab='mean',main='Mean Plot',xlab='Periodic Index')
mtext(paste('#blocks = ',np))
abline(overall.mean,0)
dev.off()
bitmap(file='plot2.png')
plot(arr.median,type='b',ylab='median',main='Median Plot',xlab='Periodic Index')
mtext(paste('#blocks = ',np))
abline(overall.median,0)
dev.off()
bitmap(file='plot3.png')
plot(arr.midrange,type='b',ylab='midrange',main='Midrange Plot',xlab='Periodic Index')
mtext(paste('#blocks = ',np))
abline(overall.midrange,0)
dev.off()
bitmap(file='plot4.png')
z <- data.frame(t(arr))
names(z) <- c(1:par1)
(boxplot(z,notch=TRUE,col='grey',xlab='Periodic Index',ylab='Value',main='Notched Box Plots - Periodic Subseries'))
dev.off()
bitmap(file='plot4b.png')
z <- data.frame(t(darr))
names(z) <- c(1:par1)
(boxplot(z,notch=TRUE,col='grey',xlab='Periodic Index',ylab='Value',main='Notched Box Plots - Differenced Periodic Subseries'))
dev.off()
bitmap(file='plot5.png')
z <- data.frame(arr)
names(z) <- c(1:np)
(boxplot(z,notch=TRUE,col='grey',xlab='Block Index',ylab='Value',main='Notched Box Plots - Sequential Blocks'))
dev.off()
bitmap(file='plot6.png')
z <- data.frame(cbind(arr.mean,arr.median,arr.midrange))
names(z) <- list('mean','median','midrange')
(boxplot(z,notch=TRUE,col='grey',ylab='Overall Central Tendency',main='Notched Box Plots'))
dev.off()