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 09:23:33 -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/t1224516293ajcp6te0q2lrvjm.htm/, Retrieved Sun, 19 May 2024 16:29:14 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=17467, Retrieved Sun, 19 May 2024 16:29:14 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsuitvoer Vlaanderen vs uitvoer Belgie (extra EU)
Estimated Impact146
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F       [Back to Back Histogram] [uitvoer Vlaandere...] [2008-10-20 15:23:33] [3817f5e632a8bfeb1be7b5e8c86bd450] [Current]
Feedback Forum
2008-10-21 18:14:46 [Glenn De Maeyer] [reply
Uit deze grafiek kan je bijvoorbeeld afleiden dat de spreiding van de uitvoer vanuit Vlaanderen groter is dan de spreiding van de uitvoer van België naar landen buiten de EU.

Post a new message
Dataseries X:
12300.0
12092.8
12380.8
12196.9
9455.0
13168.0
13427.9
11980.5
11884.8
11691.7
12233.8
14341.4
13130.7
12421.1
14285.8
12864.6
11160.2
14316.2
14388.7
14013.9
13419.0
12769.6
13315.5
15332.9
14243.0
13824.4
14962.9
13202.9
12199.0
15508.9
14199.8
15169.6
14058.0
13786.2
14147.9
16541.7
13587.5
15582.4
15802.8
14130.5
12923.2
15612.2
16033.7
16036.6
14037.8
15330.6
15038.3
17401.8
14992.5
16043.7
16929.6
15921.3
14417.2
15961.0
17851.9
16483.9
14215.5
17429.7
17839.5
17629.2
Dataseries Y:
3423,4
3242,8
3277,2
3833,0
2606,3
3643,8
3686,4
3281,6
3669,3
3191,5
3512,7
3970,7
3601,2
3610,0
4172,1
3956,2
3142,7
3884,3
3892,2
3613,0
3730,5
3481,3
3649,5
4215,2
4066,6
4196,8
4536,6
4441,6
3548,3
4735,9
4130,6
4356,2
4159,6
3988,0
4167,8
4902,2
3909,4
4697,6
4308,9
4420,4
3544,2
4433,0
4479,7
4533,2
4237,5
4207,4
4394,0
5148,4
4202,2
4682,5
4884,3
5288,9
4505,2
4611,5
5081,1
4523,1
4412,8
4647,4
4778,6
4495,3




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=17467&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=17467&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=17467&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 time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001



Parameters (Session):
par1 = grey ; par2 = grey ; par3 = TRUE ; par4 = uitvoer vlaanderen ; par5 = uitvoer Belgie nr EU (extra) ;
Parameters (R input):
par1 = grey ; par2 = grey ; par3 = TRUE ; par4 = uitvoer vlaanderen ; par5 = uitvoer Belgie nr EU (extra) ;
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()