Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_backtobackhist.wasp
Title produced by softwareBack to Back Histogram
Date of computationMon, 20 Oct 2008 12:52:04 -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/t1224528776w0ap5ho9k8uzfmo.htm/, Retrieved Sun, 19 May 2024 14:38:58 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=17893, Retrieved Sun, 19 May 2024 14:38:58 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact126
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Back to Back Histogram] [Omzet industrie v...] [2008-10-20 18:44:01] [e340b5273efb4d885d02142e6a0fc74b]
F   PD    [Back to Back Histogram] [investeringen ind...] [2008-10-20 18:52:04] [0ee5a336ab8a2fb221821eda2df0f830] [Current]
Feedback Forum
2008-10-27 01:20:22 [Kristof Augustyns] [reply
Op grafiek kan men zien dat de investeringen in de industrie hoger liggen dan die van de niet - industrie.
Balk van industrie is namelijk langer.
2008-10-28 00:10:22 [a7e076854c32462fd499d2de3f6d4e86] [reply
Het is inderdaad zo dat de investeringen in de industrie duidelijk hoger zijn dan die van de niet - industrie

Post a new message
Dataseries X:
80.7
86.9
105
95.1
100.2
182.4
90
78.2
97.4
84.2
90
100.9
84.5
92.3
90.3
91
96.4
167.6
88.5
67.5
83
77.7
80.6
96.1
71.2
75.3
90.9
106.4
96.3
181.2
65.4
72.2
80.4
77.7
76.5
100.1
73.5
77.3
98.6
112.4
77.3
139.3
75.4
64.2
86.8
79.1
71.7
100
82.1
74.8
92.3
83.3
83.7
148
71.4
71.2
84.6
80.9
80.6
105.5
79.2
78.4
92.6
88.3
98.2
157.4
73.9
80.9
93
84.9
96.2
106.5
81.7
82.9
96
92.6
116.5
155
95.1
86.2
105
89.7
97.1
120.8
92.2
98.8
104.1
106.5
113.4
192.4
103.6
97.6
99.9
106.2
104.9
114.2
94.5
Dataseries Y:
86.7
87.9
89.8
103
102.7
156.3
95
84.6
106.5
98.7
103.5
110.7
96.2
89.2
97.1
104.8
132.5
154.8
83.6
82.4
103.9
87
93.2
110.5
96.4
76.3
94
103.4
137
150.1
112.6
81.4
113.6
99.6
98.2
118.6
86.8
79.3
98.4
93.6
101
161.2
92.5
99.8
104.1
90.2
99.2
116.5
98.4
90.6
130.5
107.4
106
196.5
107.8
90.5
123.8
114.7
115.3
197
88.4
93.8
111.3
105.9
123.6
171
97
99.2
126.6
103.4
121.3
129.6
110.8
98.9
122.8
120.9
133.1
203.1
110.2
119.5
135.1
113.9
137.4
157.1
126.4
112.2
128.8
136.8
156.5
215.2
146.7
130.8
133.1
154.4
160.4
175.1
145.3




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=17893&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=17893&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=17893&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24



Parameters (Session):
par1 = grey ; par2 = grey ; par3 = TRUE ; par4 = Investeringen industrie ; par5 = Investeringen niet-industrie ;
Parameters (R input):
par1 = grey ; par2 = grey ; par3 = TRUE ; par4 = Investeringen industrie ; par5 = Investeringen niet-industrie ;
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()