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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 computationSat, 30 Nov 2019 22:29:28 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2019/Nov/30/t1575149417qgxi4he2zcupu1p.htm/, Retrieved Fri, 17 May 2024 03:47:28 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=318957, Retrieved Fri, 17 May 2024 03:47:28 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact117

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Back to Back Histogram] [] [2019-11-30 21:29:28] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
TotalScore
23
32
68
10
16
24
19
11
15
20
8
12
13
23
19
15
21.76
43.74
24.22
22.36
17.98
24.24
37.89
35.05
23.8
18.53
16.58
34.21
41.54
21.03
26.13
22
11
20
28
21
18
15
20
39
17
16
25
15
13
57
18.7
22
20.9
13.94
23.35
23
25
15.9
19.2
21
23.5
29
32
26
13.7
17
28
18
12
12
15
15
15.25
9
10
12
9
11
10
14.4
17.5
14.7
24.9
15.7
12.8
13.2
15.6
18.3
16.5
14.2
27.6
23.5
20.1
14.7
32
16.98
30.76
15.04
19.25
17.29
29.33
40.5
18.51
16.99
23.04
15.83
20.02
19.16
32.38
16.12
27
54
40
16.7
15.7
14.6
8
34
39
17
16
12
17.3
27
16.6
19.6
60.91
64.69
17.65
12.59
14.02
20.04
12.46
15.49
8.87
18.51
15.74
21.43
16.57
30.82
21
19
30
17
25
32
26
27
19
16
22
22
19
26
17
59.86
20.14
17.53
14.54
20.46
69.04
29.43
14.36
22.32
42.97
22.92
131.54
30.05
22.19
17.76
43.7
51.4
47.5
68.1
81.4
49.3
26
61.2
82.3
76.3
42.7
27.1
32.8
87.8
17.4
22.9
25
23.3
23.6
25.6
24.6
25.1
29.8
27.7
25.86
34.5
27.4
28
25.4
28
19.32
17.39
14.7
13.69
18.01
15.22
19.4
33.76
16.18
19.76
34.1
33.21
19.6
41.37
22.42
Dataseries Y:
Download CSV
Histogram 
41.54
23.5
14.02
18.51
30
32
20.46
29.43
42.97
61.2
25.86
33.21
19.6
41.37
22.42

Tables (Output of Computation)





Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R ServerBig Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time0 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=318957&T=0

[TABLE]
[ROW]
Summary of computational transaction[/C][/ROW] [ROW]Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW]Raw Output[/C]view raw output of R engine [/C][/ROW] [ROW]Computing time[/C]0 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=318957&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=318957&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 Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R ServerBig Analytics Cloud Computing Center


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = blue ; par2 = grey ; par3 = TRUE ; par4 = Both ; par5 = Right ;
Parameters (R input):
par1 = blue ; par2 = grey ; par3 = TRUE ; par4 = Both ; par5 = Right ;
R code (references can be found in the software module):
par5 <- 'Male'
par4 <- 'Female'
par3 <- 'TRUE'
par2 <- 'grey'
par1 <- 'grey'
if (par3 == 'TRUE') par3 <- TRUE
if (par3 == 'FALSE') par3 <- FALSE
library(Hmisc)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Summary statistics (variable X)',1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,paste('
',RC.texteval('summary(x)'),'
',sep=''))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Summary statistics (variable Y)',1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,paste('
',RC.texteval('summary(y)'),'
',sep=''))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')
summary(x)
summary(y)
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()