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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_meanversusmedian.wasp
Title produced by softwareMean versus Median
Date of computationTue, 29 Nov 2011 03:31:11 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Nov/29/t1322555552u2lt88sib6jrqb4.htm/, Retrieved Thu, 25 Apr 2024 16:55:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=148102, Retrieved Thu, 25 Apr 2024 16:55:25 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact110

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] [] [2011-11-29 08:31:11] [87b6e955a128bfb8d1e350b3ce0d281e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
14.69
20.15
11.78
21.47
17.54
21.47
18.55
14.33
8.78
17.66
19.64
13.25
16.17
9.66
20.45
24.21
19.65
21.33
14.47
16.22
16.66
19.87
14.55
19.41
20.63
9.12
8.36
19.36
25.78
14.66
27.55
22.63
30.33
22.22
11.99
9.47
10.33
15.36
14.99
17.31
18.94
16.54
18.21
11.74
17.41
9.99
21.14
19.70
14.87
19.65
27.65
13.45
20.00
13.47
18.54
20.00
11.47
28.65
24.14
19.87
17.65
13.69
15.47
11.63
10.24
13.54
11.00
19.74
21.25
29.54
11.41
10.87
8.47
12.69
10.14
18.63
22.54
17.65
16.41
17.65
19.87
21.45
22.65
20.69
23.74
20.96
18.35
17.84
20.54
21.63
27.61
19.47
23.52
25.64
19.33
20.64
18.98
15.67
23.74
22.89
24.66
29.40
19.87
17.55
15.94
21.74
23.51
24.84
18.47
21.01
16.74
27.45
19.54
17.74
21.65
24.74
26.89
23.22
20.16
21.88

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=148102&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=148102&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=148102&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 time1 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Median versus Mean
mean18.5825
median19.345

\begin{tabular}{lllllllll}
\hline
Median versus Mean \tabularnewline
mean & 18.5825 \tabularnewline
median & 19.345 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=148102&T=1

[TABLE]
[ROW][C]Median versus Mean[/C][/ROW]
[ROW][C]mean[/C][C]18.5825[/C][/ROW]
[ROW][C]median[/C][C]19.345[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=148102&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=148102&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
mean18.5825
median19.345


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')