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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_backtobackhist.wasp
Title produced by softwareBack to Back Histogram
Date of computationSun, 19 Oct 2008 11:04:06 -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/19/t1224435969q8aygkf7k8wz4lj.htm/, Retrieved Sun, 19 May 2024 14:45:12 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=16958, Retrieved Sun, 19 May 2024 14:45:12 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact136

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F       [Back to Back Histogram] [Onderzoek van alg...] [2008-10-19 17:04:06] [701cc898ddafddb72d72f8df86ee2872] [Current]
Feedback Forum
2008-10-22 14:11:16 [Kim Wester] [reply] 
De reeksen zijn ongeveer gelijk en hebben eenzelfde spreiding.
Er zijn inderdaad enkele uitzonderingen maar uit het back-to-back histogram mogen geen oorzaken afgeleid worden omdat de reeks niet chronologisch is weergeven.
2008-10-24 15:23:20 [Matthieu Blondeau] [reply] 
De student heeft 3 vergelijkingen gemaakt van de 4 reeksen. Deze vergelijkingen zijn telkens goed geanalyseerd. De student moet inderdaad opppassen met de 2 laatste vergelijkingen aangezien de gegevens in euro's en percentages staan.
2008-10-25 18:41:03 [Kevin Neelen] [reply] 
Beide tijdreeksen lopen ongeveer gelijk en hebben praktisch dezelfde spreiding.
2008-10-27 18:47:19 [Evelyne Slegers] [reply] 
De spreiding van de beide datasets is ongeveer even groot. Dit is geen normale verdeling want een normale verdeling zou inhouden dat de staven naar boven toe uitlopen.

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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
2.2
2.3
2.1
2.8
3.1
2.9
2.6
2.7
2.3
2.3
2.1
2.2
2.9
2.6
2.7
1.8
1.3
0.9
1.3
1.3
1.3
1.3
1.1
1.4
1.2
1.7
1.8
1.5
1
1.6
1.5
1.8
1.8
1.6
1.9
1.7
1.6
1.3
1.1
1.9
2.6
2.3
2.4
2.2
2
2.9
2.6
2.3
2.3
2.6
3.1
2.8
2.5
2.9
3.1
3.1
3.2
2.5
2.6
2.9
Dataseries Y:
Download CSV
Histogram 
2.1
2.2
2.2
2.7
3.1
3.2
3.1
3.1
2.8
3
2.8
2.7
3.2
3.1
3
2
1.7
1.2
1.4
1.3
1.3
1.1
0.9
1.2
0.9
1.3
1.4
1.5
1.1
1.6
1.5
1.6
1.7
1.6
1.7
1.6
1.6
1.3
1.1
1.6
1.9
1.6
1.7
1.6
1.4
2.1
1.9
1.7
1.8
2
2.5
2.1
2.1
2.3
2.4
2.4
2.3
1.7
2
2.3

Tables (Output of Computation)





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=16958&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=16958&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=16958&T=0

As an alternative you can also use a QR Code:  
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


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = grey ; par2 = grey ; par3 = TRUE ; par4 = Algemene index ; par5 = Gezondheidsindex ;
Parameters (R input):
par1 = grey ; par2 = grey ; par3 = TRUE ; par4 = Algemene index ; par5 = Gezondheidsindex ;
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()