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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_meanversusmedian.wasp
Title produced by softwareMean versus Median
Date of computationTue, 10 Mar 2009 16:11:17 -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/2009/Mar/10/t1236723116539xi03jxusi5dd.htm/, Retrieved Fri, 26 Apr 2024 08:42:52 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=38915, Retrieved Fri, 26 Apr 2024 08:42:52 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact171

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Mean versus Median] [Mean versus Media...] [2009-03-10 22:11:17] [1a4b490ae86a78f004f9a6b70ce3539b] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
18.09
18.13
18
17.72
17.62
17.13
17.39
17.09
17.14
17.38
16.8
16.51
16.01
15.05
13.56
15.22
14.91
15.13
15.25
14.61
14.87
15.1
15.22
15.46
14.96
14
14.2
13.9
13.63
13.32
13.8
14.5
14.12
13.88
14.11
14.26
14.71
14.52
14.32
14.69
15.25
15.04
14.82
14.5
14.72
14.6
14.58
14
14.75
14.41
15.19
14.96
14.83
14.25
14.32
14.93
14.65
15.65
15.65
15.61
15.95
15.83
15.77
16.7
16.69
16.4
16.77
16.78
16.84
16.68
16.67
16.3
16.37
16.6
16.72
16.82
17.5
17.2
17.29
17.2
17.2
17.32
17.16
17.41
17.31
17.3
17.34
17.19
17.05
17.07
17.07
16.81
16.81
16.96
17.05
17
16.77
16.66
16.2
16.26
15.84
15.85
15.71
15.84
15.73
15.77
15.3
15.41
15.4
15.61
15
14.12
14.01
13.46
13.85
13.92
13.59
13.67
13.05
12.87
12.28
11.88
12.49
11.9
10.8
10.99
10.15
10.07
10.05
10.31
9.94
9.65
9.74
9.85
9.96
9.63
9.43
8.77
9.53
9.5
9.78
9.9
9.93
10.35
9.79
9.63
9.02
9.25
9.11
8.95
9.3
9.13
9.75
9.65
9.27
9.59
9.58
9.98
9.57
9.6
9.64
9.46
9.19
9.02
8.9
9.12
8.86
8.94
9
9.23
9.39
9.62
9.9
9.8
9.2
9.87
9.6
9.37
9.21
9.15
8.7
8.2
8.1
6.68
7.7
8.2
7.55
7.53
7.02
6.6
6
3.95
4.91
5.15
5.7
1.93
1.36
1.1
0.98
1
1.1
1.06
1.01
0.93
0.89
0.9
0.88
0.85
0.84
0.94
1
1.1
1.15
1.05
1.06
0.99
0.93
0.84
0.9
0.86
0.78
0.77
0.6
0.57
0.62
0.62
0.58
0.6
0.73
0.75
0.63
0.71
0.68
0.64
0.66
0.69
0.72
0.92
0.85
0.95
1
1.15
1.07
1.01
0.99
0.95
0.92
0.94
0.96
1.05
1.04
1.1
1.14
1.12
1.19
1.35
1.62
1.43
1.45
1.47
1.35
1.15
1.46
1.3
1.3
1.5
1.52
1.63
1.9
1.65
1.5
1.38
1.39

Tables (Output of Computation)





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
R Framework error message
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.

\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
R Framework error message & 
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38915&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]
[ROW][C]R Framework error message[/C][C]
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38915&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38915&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 time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001
R Framework error message
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.






Median versus Mean
mean9.70054945054945
median9.9

\begin{tabular}{lllllllll}
\hline
Median versus Mean \tabularnewline
mean & 9.70054945054945 \tabularnewline
median & 9.9 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38915&T=1

[TABLE]
[ROW][C]Median versus Mean[/C][/ROW]
[ROW][C]mean[/C][C]9.70054945054945[/C][/ROW]
[ROW][C]median[/C][C]9.9[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38915&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38915&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Median versus Mean
mean9.70054945054945
median9.9


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
Parameters (R input):
R code (references can be found in the software module):
library(Hmisc)
m <- mean(x)
e <- median(x)
bitmap(file='test1.png')
op <- par(mfrow=c(2,1))
mydensity1 <- density(x,kernel='gaussian',na.rm=TRUE)
plot(mydensity1,main='Density Plot - Gaussian Kernel',xlab='Median (0 -> full line) | Mean (0 -> dashed line)',ylab='density')
abline(v=e,lty=1)
abline(v=m,lty=5)
grid()
myseq <- seq(0.01, 0.99, 0.01)
hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE)
plot(myseq,hd,col=2,main='Harrell-Davis Quantiles',xlab='quantiles',ylab='Median (0 -> full) | Mean (0 -> dashed)')
abline(h=m,lty=5)
abline(h=e,lty=1)
grid()
par(op)
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Median versus Mean',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'mean',header=TRUE)
a<-table.element(a,mean(x))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'median',header=TRUE)
a<-table.element(a,median(x))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')