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Description of Statistical Computation

Author's title

Opgave 5 mean vs median - gem consumptieprijs tomaten - Bram Op de Beeck 2 ...

Author*Unverified author*
R Software Modulerwasp_meanversusmedian.wasp
Title produced by softwareMean versus Median
Date of computationTue, 29 Jul 2008 03:33:33 -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/2008/Jul/29/t12173240837hjrd4455w6g6id.htm/, Retrieved Sat, 29 Aug 2026 06:04:12 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=13878, Retrieved Sat, 29 Aug 2026 06:04:12 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact602

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] [Opgave 5 mean vs ...] [2008-07-29 09:33:33] [f1ad3272590ff3a9e1233970549442f0] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
2.1300
1.8700
2.2300
3.0000
2.1200
1.6000
1.1700
1.0200
1.2200
1.8000
2.1300
2.2100
2.3800
1.9900
1.8200
2.4700
1.9400
1.3900
1.1100
0.9700
1.3800
2.3900
1.8800
2.1100
2.1100
2.1700
2.5400
3.1300
2.2500
1.3900
1.3600
1.3300
1.6000
1.9500
2.2300
2.5300
2.3600
1.9500
2.1600
2.7600
2.0900
1.4900
1.1700
1.3000
1.2600
2.1700
2.0300
2.1800
2.6100
2.5800
3.8600
3.8100
2.4100
1.4700
1.3300
1.3800
1.5700
2.6000
2.1800
2.3600
2.2400
2.4100
2.5100
2.9800
1.8700
1.9000
1.4700
1.4500
2.7100
2.9000
2.1100
2.1800
2.2400
2.0500
2.4200
2.7700
1.9900
1.4700
1.0900
0.9300
1.3200
2.0300
2.0400
2.7800
2.8000
3.0300
3.1100
2.7500
2.7800
1.7600
1.2900
1.2800
1.4300
1.7100
1.8900
1.8400

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'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 & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=13878&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=13878&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=13878&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'George Udny Yule' @ 72.249.76.132






Median versus Mean
mean2.03677083333333
median2.07

\begin{tabular}{lllllllll}
\hline
Median versus Mean \tabularnewline
mean & 2.03677083333333 \tabularnewline
median & 2.07 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=13878&T=1

[TABLE]
[ROW][C]Median versus Mean[/C][/ROW]
[ROW][C]mean[/C][C]2.03677083333333[/C][/ROW]
[ROW][C]median[/C][C]2.07[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=13878&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=13878&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
mean2.03677083333333
median2.07


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')