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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_meanversusmedian.wasp
Title produced by softwareMean versus Median
Date of computationMon, 04 Oct 2010 20:44:22 +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/Oct/04/t1286225224abeisidaptdm6e2.htm/, Retrieved Sun, 28 Apr 2024 17:47:26 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=81185, Retrieved Sun, 28 Apr 2024 17:47:26 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact101

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Notched Boxplots] [Screen Width and ...] [2010-09-25 10:03:47] [b98453cac15ba1066b407e146608df68]
F RMPD    [Mean versus Median] [] [2010-10-04 20:44:22] [d41d8cd98f00b204e9800998ecf8427e] [Current]
Feedback Forum
2010-10-07 09:20:00 [cd346604224dd6fb6e1abb67ec9315f6] [reply] 
Het gemiddelde en de mediaan liggen in deze gevallen vrij dicht bij elkaar. Dit is te verklaren doordat er slechts enkele extreme waarden tussen de cijfergegevens liggen. Zouden er toch extreem hoge waarden worden toegevoegd zal dit op de mediaan geen invloed hebben maar wel op het gemiddelde.
2010-10-11 18:17:42 [] [reply] 
De mediaan is hier kleiner dan het gemiddelde, maar is hier beter om te gebruiken.

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
12873
12975
13328
13477
13529
13674
14000
14008
14011
14058
14237
14326
14440
14442
14483
14765
14884
14900
14938
15057
15074
15307
15414
15486
15528
15636
15686
15692
15723
15838
15943
15983
15986
16150
16193
16290
16316
16320
16352
16362
16375
16393
16490
16518
16534
16747
16879
16961
16998
17049
17163
17193
17226
17307
17418
17473
17480
17804
17871
17910
18060
18127
18450
18522
18652
18869
18871
18890
18897
19051
19062
19100
19240
19415
19420
19509
19547
19978
20018
20169
20216
20254
21263
21971

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'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=81185&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=81185&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=81185&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Median versus Mean
mean16750.2857142857
median16441.5

\begin{tabular}{lllllllll}
\hline
Median versus Mean \tabularnewline
mean & 16750.2857142857 \tabularnewline
median & 16441.5 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=81185&T=1

[TABLE]
[ROW][C]Median versus Mean[/C][/ROW]
[ROW][C]mean[/C][C]16750.2857142857[/C][/ROW]
[ROW][C]median[/C][C]16441.5[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=81185&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=81185&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
mean16750.2857142857
median16441.5


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 10 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
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')