Free Statistics

of Irreproducible Research!

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_backtobackhist.wasp
Title produced by softwareBack to Back Histogram
Date of computationMon, 20 Oct 2008 12:00:16 -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/2008/Oct/20/t12245256648u5457lnouvdlzw.htm/, Retrieved Fri, 17 May 2024 03:06:05 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=17811, Retrieved Fri, 17 May 2024 03:06:05 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact144
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Back to Back Histogram] [Investigating Ass...] [2007-10-22 21:58:05] [b9964c45117f7aac638ab9056d451faa]
F   PD    [Back to Back Histogram] [Vgl gemiddelde pr...] [2008-10-20 18:00:16] [0f30549460cf4ec26d9cf94b1fcf7789] [Current]
Feedback Forum
2008-10-25 13:17:38 [Astrid Sniekers] [reply
Volgens mij komen geen van de waarden van de tijdreeksen overeen met elkaar. Ze zijn dus allemaal niet gelijkaardig. De student heeft vergeten tijdreeks 1 met 3 en tijdreeks 2 met 4 te vergelijken. Hier kan ze best ook nog eens de back-to-back histogrammen van maken.

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Dataseries X:
526,4
526,4
526,4
526,4
526,4
526,4
542,9
542,9
542,9
542,9
542,9
542,9
556,11
556,11
556,11
556,11
556,11
556,11
557,07
557,07
557,07
557,07
557,07
557,07
564,29
564,29
564,29
564,29
564,29
564,29
569
569
569
569
569
569
575
575
575
575
575
575
594,51
594,51
594,51
594,51
594,51
594,51
603,88
603,88
603,88
603,88
603,88
603,88
610,02
610,02
610,02
610,02
610,02
610,02
Dataseries Y:
106,60
106,80
107,00
107,10
107,30
107,40
107,60
107,70
107,90
108,20
108,30
108,50
108,92
109,23
109,41
109,65
109,91
110,01
110,20
110,49
110,57
110,72
110,94
111,09
111,28
111,41
111,62
111,76
111,89
112,04
112,12
112,30
112,47
112,59
112,78
112,73
112,99
113,10
113,33
113,38
113,68
113,65
113,81
113,88
114,02
114,25
114,28
114,38
114,73
114,97
115,05
115,29
115,37
115,54
115,76
115,92
116,02
116,21
116,26
116,51




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=17811&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=17811&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=17811&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 = grey ; par2 = grey ; par3 = TRUE ; par4 = Gemiddelde prijs brandverzekering ; par5 = Indexprijzen huurhuis ;
Parameters (R input):
par1 = grey ; par2 = grey ; par3 = TRUE ; par4 = Gemiddelde prijs brandverzekering ; par5 = Indexprijzen huurhuis ;
R code (references can be found in the software module):
if (par3 == 'TRUE') par3 <- TRUE
if (par3 == 'FALSE') par3 <- FALSE
library(Hmisc)
z <- data.frame(cbind(x,y))
names(z) <- list(par4,par5)
bitmap(file='plot.png')
out <- histbackback(z, probability=par3, main = main, ylab = ylab)
barplot(-out$left, col=par1, horiz=TRUE, space=0, add=TRUE, axes=FALSE)
barplot(out$right, col=par2, horiz=TRUE, space=0, add=TRUE, axes=FALSE)
dev.off()