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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 computationTue, 04 Oct 2011 11:35:31 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Oct/04/t1317742551vjl474f1cuef0ao.htm/, Retrieved Sun, 10 Nov 2024 17:59:44 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=126117, Retrieved Sun, 10 Nov 2024 17:59:44 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact107

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]
- RMP     [Mean versus Median] [mean] [2011-10-04 15:35:31] [f007bbc48ca3190e286f441a6cce1887] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1280	1024
1024	768
1120	700
1024	768
1280	800
1280	1024
1280	800
1024	768
1280	800
1280	1024
1280	800
1280	800
1280	1024
1688	949
1440	900
1600	1200
1280	800
1280	800
1280	768
1176	735
1280	800
1503	845
1440	900
1366	768
1280	768
1024	768
1280	800
2560	1440
1280	768
1024	768
1280	1024
1280	800
1440	900
1280	800
1440	900
1024	768
1440	900
1143	857
1280	800
1440	900
1280	800
1366	768
1024	768
1408	880
1366	768
1176	735
1920	1200
1257	785
1280	800
1280	800
1440	900
1680	1050
1440	900
1024	768
1140	641
1280	1024
1280	800
1280	800
1280	800
1280	800
1440	900
1280	800
1152	864
1280	1024
1280	800
1440	900
1280	800
1280	1024
1440	900
1280	800
1280	800
1440	900
1280	800
1280	1024
1600	900
1024	768
1366	768
1280	800
1280	800
1440	900
1366	768
1280	800
1024	768
1280	800
1440	900
1280	800
1280	800
1408	880
1280	800
1600	900
1600	900
1680	1050
1440	900
1440	900
917	550
1280	800
1760	990
1280	800
1280	800
1280	800
1024	768
1366	768
1440	900
1280	800
1280	1024
1920	1080
1024	768
1024	768
1600	900
1117	698
1440	900
983	737
1024	768
1024	640
1280	800
1440	900
1280	800
1280	800
1280	800
1440	900
1280	800
1024	768
1024	768
1152	864
1280	768
1024	768
1366	768
1680	1050
1680	1050
1280	800
1366	768
1024	768
1440	900
1024	768
1280	800
1280	800
1280	800
1024	768
1280	800

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'Herman Ole Andreas Wold' @ wold.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 & 1 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=126117&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=126117&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=126117&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'Herman Ole Andreas Wold' @ wold.wessa.net


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')