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Description of Statistical Computation

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 15:51:13 -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/t12245395138a55qwlcbjwodex.htm/, Retrieved Sun, 19 May 2024 13:07:14 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=18210, Retrieved Sun, 19 May 2024 13:07:14 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact101

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] [Q8 25 & 50+] [2008-10-20 21:51:13] [d96f761aa3e94002e7c05c3c847d2c79] [Current]
Feedback Forum
2008-10-27 21:13:31 [Jan Helsen] [reply] 
Er is toch een zekere overeenkomst in het midden. Het zou nuttig zijn als je kan verklaren waarom dit zo is. (hoe dichter bij bepaalde leeftijd, hoe hoger de kans op werkloosheid?)

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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
157928
147768
137507
136919
136151
133001
125554
119647
114158
116193
152803
161761
160942
149470
139208
134588
130322
126611
122401
117352
112135
112879
148729
157230
157221
146681
136524
132111
125326
122716
116615
113719
110737
112093
143565
149946
149147
134339
122683
115614
116566
111272
104609
101802
94542
93051
124129
130374
123946
114971
105531
104919
104782
101281
94545
93248
84031
87486
115867
120327
Dataseries Y:
Download CSV
Histogram 
44277
44976
45406
47379
49200
50221
51573
53091
53337
54978
57885
67099
67169
69796
70600
71982
73957
75273
76322
77078
77954
79238
82179
83834
83744
84861
86478
88290
90287
91230
92380
92506
94172
94728
96581
97344
98346
98214
98366
98768
99832
99976
99961
100164
99964
99304
104008
104644
103950
104263
104241
105141
106018
105866
105944
106379
105082
104915
107026
107306

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18210&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]2 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=18210&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18210&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 time2 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 = niet-werkende werkzoekenden tot 25 ; par5 = niet-werkende werkzoekenden 50+ ;
Parameters (R input):
par1 = grey ; par2 = grey ; par3 = TRUE ; par4 = niet-werkende werkzoekenden tot 25 ; par5 = niet-werkende werkzoekenden 50+ ;
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()