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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, 16 Dec 2014 14:05:25 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Dec/16/t1418738772fr3x37pgx7dx34i.htm/, Retrieved Thu, 16 May 2024 11:56:42 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=269586, Retrieved Thu, 16 May 2024 11:56:42 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact57
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Two-Way ANOVA] [] [2010-11-02 14:42:14] [b98453cac15ba1066b407e146608df68]
- RMP   [Two-Way ANOVA] [] [2014-10-21 08:34:19] [32b17a345b130fdf5cc88718ed94a974]
- RMPD      [Mean versus Median] [Mean versus Media...] [2014-12-16 14:05:25] [ca907db95fc0b179b22bb0898c34dff4] [Current]
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Dataseries X:
16.6
12.6
18.9
11.6
14.6
13.85
14.85
11.75
18.45
15.9
19.9
10.95
18.45
15.1
15
11.35
15.95
18.1
14.6
17.6
15.35
13.4
13.9
15.25
12.9
16.1
17.35
13.15
12.15
12.6
10.35
15.4
9.6
18.2
13.6
14.85
14.1
14.9
16.25
13.6
15.65
14.6
12.65
11.9
19.2
16.6
11.2
13.2
15.85
11.15
15.65
7.65
15.2
15.6
13.1
11.85
12.4
11.4
14.9
19.9
11.2
14.6
14.75
15.15
16.85
7.85
12.6
7.85
10.95
12.35
9.95
14.9
16.65
13.4
13.95
15.7
16.85
10.95
15.35
12.2
15.1
17.75
15.2
16.65
8.1
4.35
12.7
18.1
17.85
17.1
19.1
16.1
13.35
18.4
14.7
10.6
12.6
16.2
13.6
14.1
14.5
16.15
14.75
14.8
12.45
12.65
17.35
8.6
18.4
16.1
17.75
15.25
17.65
15.6
16.35
17.65
13.6
11.7
14.35
14.75
18.25
9.9
16
18.25
16.85
18.95
15.6
17.1
16.1
15.4
15.4
13.35
19.1
7.6
19.1
14.75
19.25
13.6
12.75
9.85
15.25
11.9
16.35
12.4
14.35
18.15
17.75
12.35
15.6
19.3
17.1
18.4
19.05
18.55
19.1
12.85
9.5
4.5
13.6
11.7
13.35
17.75
17.6
14.05
16.1
13.35
11.85
11.95
13.2
7.7
14.6




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time6 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 6 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269586&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]6 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269586&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269586&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 time6 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







Median versus Mean
mean14.5102339181287
median14.8

\begin{tabular}{lllllllll}
\hline
Median versus Mean \tabularnewline
mean & 14.5102339181287 \tabularnewline
median & 14.8 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269586&T=1

[TABLE]
[ROW][C]Median versus Mean[/C][/ROW]
[ROW][C]mean[/C][C]14.5102339181287[/C][/ROW]
[ROW][C]median[/C][C]14.8[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269586&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269586&T=1

As an alternative you can also use a QR Code:  

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

Median versus Mean
mean14.5102339181287
median14.8



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')