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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 computationWed, 03 Dec 2014 14:18:03 +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/2014/Dec/03/t1417616294a2bvg0z6hqm6bju.htm/, Retrieved Thu, 16 May 2024 16:09:44 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=262959, Retrieved Thu, 16 May 2024 16:09:44 +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)
-     [Notched Boxplots] [Academic Motivati...] [2010-10-12 12:51:42] [b98453cac15ba1066b407e146608df68]
- RMPD  [Notched Boxplots] [boxplot] [2014-12-02 12:25:06] [15866c21ed6246d5efde5ff3ba421193]
-   PD    [Notched Boxplots] [boxplot 3] [2014-12-02 12:41:06] [15866c21ed6246d5efde5ff3ba421193]
-    D      [Notched Boxplots] [nb] [2014-12-02 13:10:20] [15866c21ed6246d5efde5ff3ba421193]
-    D        [Notched Boxplots] [MANNEN EN VROUWEN] [2014-12-02 14:07:28] [15866c21ed6246d5efde5ff3ba421193]
- RMPD            [Back to Back Histogram] [baba] [2014-12-03 14:18:03] [69667246dd207ce9acb00bd9a43352d5] [Current]
- RMPD              [Notched Boxplots] [boxplot 5] [2014-12-07 12:32:26] [15866c21ed6246d5efde5ff3ba421193]
- RMPD              [Notched Boxplots] [boxplot 5] [2014-12-07 12:32:26] [15866c21ed6246d5efde5ff3ba421193]
- R PD                [Notched Boxplots] [demotivation] [2014-12-17 12:59:08] [15866c21ed6246d5efde5ff3ba421193]
- RMPD                [Multiple Regression] [multiple] [2014-12-17 13:50:14] [15866c21ed6246d5efde5ff3ba421193]
- RMPD                [Multiple Regression] [regressie] [2014-12-17 14:08:47] [15866c21ed6246d5efde5ff3ba421193]
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Dataseries X:
8
11
22
4
16
4
4
4
4
5
8
7
4
13
4
4
4
4
5
12
4
4
4
4
4
4
4
5
4
7
5
4
6
5
4
8
4
4
4
4
8
6
4
4
4
5
4
4
4
4
5
4
4
5
5
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
Dataseries Y:
7
5
8
5
4
4
5
4
5
5
6
5
7
8
7
4
6
8
4
4
7
5
4
7
13
4
4
4
4
6
6
13
4
5
4
5
4
4
4
4
12
5
9
12
16
6
5
4
9
12
5
4
6
6
5
14
4
4
4
6
4
4
5
17
4
10
5
4
NA
NA
5
NA
NA
NA
NA




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=262959&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' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=262959&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=262959&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' @ jenkins.wessa.net



Parameters (Session):
par1 = red ; par2 = blue ; par3 = TRUE ; par4 = Female ; par5 = Male ;
Parameters (R input):
par1 = red ; par2 = blue ; par3 = TRUE ; par4 = Female ; par5 = Male ;
R code (references can be found in the software module):
par5 <- 'Male'
par4 <- 'Female'
par3 <- 'TRUE'
par2 <- 'red'
par1 <- 'blue'
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()