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Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_meanversusmedian.wasp

Title produced by software

Mean versus Median

Date of computation

Wed, 21 Dec 2011 07:15:11 -0500

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/21/t132446978546yg2lsgdq6ixyg.htm/, Retrieved Tue, 07 May 2024 18:04:23 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=158566, Retrieved Tue, 07 May 2024 18:04:23 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

110

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-     [Recursive Partitioning (Regression Trees)] [] [2010-12-05 18:59:57] [b98453cac15ba1066b407e146608df68]
- RMP   [Kendall tau Correlation Matrix] [ws10.1] [2011-12-14 12:44:38] [8ae0a4da1b3ee81f40dbba5e42914d07]
-    D    [Kendall tau Correlation Matrix] [ws10.3] [2011-12-14 14:10:41] [8ae0a4da1b3ee81f40dbba5e42914d07]
- RMP       [Recursive Partitioning (Regression Trees)] [ws10.6] [2011-12-14 15:11:12] [8ae0a4da1b3ee81f40dbba5e42914d07]
-   PD        [Recursive Partitioning (Regression Trees)] [ws10.9] [2011-12-21 10:12:51] [8ae0a4da1b3ee81f40dbba5e42914d07]
- RMPD            [Mean versus Median] [Paper, DSTSM mean...] [2011-12-21 12:15:11] [242bbde8f74d68805b56d9ecebfdbe63] [Current]

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0
-1.94834264125015
-1.35938514876797
1.35795496412481
-1.70069468175497
1.44996900849938
1.31903815630069
2.05149160604926
-0.133535063101566
1.03724496156112
0.63142261575917
-1.63792541267238
-0.867991128955308
-1.07958030968515
-0.672654981836742
-1.05064354962543
0.333390996185739
0.487322267446532
-0.570817054401088
-0.499534007121835
0.115264994351102
1.74691902012461
0.739021637104409
0.738226066304609
-0.41299927393743
-1.58336341056381
-0.181363817381967
0.105418963881337
-0.463545967786301
-1.21612196637376
1.64060386180114
-0.0528713661577582
1.52368500476979
1.08334468835021
-0.469412703827005
0.721118803353077
-0.943920679048537
-0.522581909811403
0.359348877235232
-0.247868668824745
0.562507597657474
0.64814873561941
-1.27010850628161
-0.447026313045732
1.78025952002197
0.731000413630024
1.58105415816898
-0.0984553656677268
-0.585819712707743
0.397301065018393
0.0963073674180238
-1.03366376752918
-0.793451126625965
0.871673983985699
0.80325982935323
1.24994658683419
-0.295993912664426
-1.45005328321816
0.767875715674426
0.609240092225543
0.933296632597031
-0.679282808379915
-1.19659266892572
0.418815651594879
-0.181297827175938
0.432789884150497
-0.065942989884464
1.73980299717976
0.328406731705262
0.120753615482844
-0.369205392526939
0.791445739642711
0.866899132578154
0.0740812251511718
-2.26488583771179

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'AstonUniversity' @ aston.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 & 2 seconds \tabularnewline
R Server & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=158566&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]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=158566&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=158566&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 Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'AstonUniversity' @ aston.wessa.net

Median versus Mean
mean	0.0653162655154837
median	0.0963073674180238

\begin{tabular}{lllllllll}
\hline
Median versus Mean \tabularnewline
mean & 0.0653162655154837 \tabularnewline
median & 0.0963073674180238 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=158566&T=1

[TABLE]
[ROW][C]Median versus Mean[/C][/ROW]
[ROW][C]mean[/C][C]0.0653162655154837[/C][/ROW]
[ROW][C]median[/C][C]0.0963073674180238[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=158566&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=158566&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
mean	0.0653162655154837
median	0.0963073674180238

Figure 1

PNG link

Postscript link

PDF link

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')

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Dataset

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Figures (Output of Computation)

Input Parameters & R Code