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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 computationMon, 29 Nov 2010 20:46:03 +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/2010/Nov/29/t1291063470g8bpq2q9kzko3ug.htm/, Retrieved Mon, 29 Apr 2024 08:45:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=103106, Retrieved Mon, 29 Apr 2024 08:45:51 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact111

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [Bad example of Hi...] [2010-09-25 09:28:23] [b98453cac15ba1066b407e146608df68]
-    D  [Histogram] [Paper - histogram...] [2010-11-12 20:48:53] [6ff9fb24bdca608d2f4f1f9db3f6445e]
-   P     [Histogram] [Paper - histogram...] [2010-11-12 21:15:41] [6ff9fb24bdca608d2f4f1f9db3f6445e]
- RMP       [Mean versus Median] [paper - median vs...] [2010-11-29 20:42:56] [6ff9fb24bdca608d2f4f1f9db3f6445e]
-    D          [Mean versus Median] [paper - median vs...] [2010-11-29 20:46:03] [b881b0959d750616b68c30017e4e0761] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
3
2
0
5
3
1
4
2
8
0
3
4
4
4
1
1
3
5
2
2
2
4
5
4
2
3
3
6
2
4
3
4
5
2
3
6
4
5
3
6
3
2
2
2
2
5
10
0
0
3
3
3
1
2
0
6
2
4
4
0
0
6
1
1
5
4
7
2
5
4
6
5
6
5
4
4
4
3
4
2
1
8
5
3
6
4
3
2
3
5
3
4
4
5
4
0
1
3
3
4
5
5
1
2
3
5
4
4
1
1
2
2
0
1
5
5
0
3
5
4
4
3
6
5
6
0
5
0
3
0
9
4
1
6
2
1
3
2
3
6
2
2
0
7
3
1
2
6
5
0
4
5
0
3
7
3

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'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=103106&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=103106&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=103106&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'George Udny Yule' @ 72.249.76.132






Median versus Mean
mean3.28846153846154
median3

\begin{tabular}{lllllllll}
\hline
Median versus Mean \tabularnewline
mean & 3.28846153846154 \tabularnewline
median & 3 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=103106&T=1

[TABLE]
[ROW][C]Median versus Mean[/C][/ROW]
[ROW][C]mean[/C][C]3.28846153846154[/C][/ROW]
[ROW][C]median[/C][C]3[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=103106&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=103106&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
mean3.28846153846154
median3


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')