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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, 08 Dec 2014 16:25:59 +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/2014/Dec/08/t1418056016iw4zlqinnrjuzzk.htm/, Retrieved Sun, 19 May 2024 12:39:18 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=264072, Retrieved Sun, 19 May 2024 12:39:18 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact98
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Mean versus Median] [] [2014-12-08 16:25:59] [54099b55f731ed0aca9a713a2b2a06c3] [Current]
- R  D    [Mean versus Median] [] [2014-12-08 16:44:07] [78252ca1523d3477f114bddbfa59edb4]
- RMPD    [Histogram] [] [2014-12-08 17:38:27] [78252ca1523d3477f114bddbfa59edb4]
- RM D    [Variability] [] [2014-12-08 17:39:48] [78252ca1523d3477f114bddbfa59edb4]
- RMPD    [Histogram] [] [2014-12-08 17:41:30] [78252ca1523d3477f114bddbfa59edb4]
- RM D    [Variability] [] [2014-12-08 17:42:58] [78252ca1523d3477f114bddbfa59edb4]
- RM      [Percentiles] [] [2014-12-09 11:50:49] [78252ca1523d3477f114bddbfa59edb4]
- RM D    [Percentiles] [] [2014-12-09 11:52:04] [78252ca1523d3477f114bddbfa59edb4]
- RM D    [Percentiles] [] [2014-12-09 15:25:29] [78252ca1523d3477f114bddbfa59edb4]
- RMP     [Standard Deviation Plot] [] [2014-12-09 16:06:38] [78252ca1523d3477f114bddbfa59edb4]
- RMP     [Notched Boxplots] [] [2014-12-09 16:19:25] [78252ca1523d3477f114bddbfa59edb4]
- RMPD    [Notched Boxplots] [] [2014-12-09 16:23:17] [78252ca1523d3477f114bddbfa59edb4]
- RM D    [Skewness and Kurtosis Test] [] [2014-12-09 16:42:54] [78252ca1523d3477f114bddbfa59edb4]
- RM D    [Skewness and Kurtosis Test] [] [2014-12-09 16:43:36] [78252ca1523d3477f114bddbfa59edb4]
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Dataseries X:
1894,00
1757,00
3582,00
5321,00
5561,00
5907,00
4944,00
4966,00
3258,00
1964,00
1743,00
1262,00
2086,00
1793,00
3548,00
5672,00
6084,00
4914,00
4990,00
5139,00
3218,00
2179,00
2238,00
1442,00
2205,00
2025,00
3531,00
4977,00
7998,00
4880,00
5231,00
5202,00
3303,00
2683,00
2202,00
1376,00
2422,00
1997,00
3163,00
5964,00
5657,00
6415,00
6208,00
4500,00
2939,00
2702,00
2090,00
1504,00
2549,00
1931,00
3013,00
6204,00
5788,00
5611,00
5594,00
4647,00
3490,00
2487,00
1992,00
1507,00
2306,00
2002,00
3075,00
5331,00
5589,00
5813,00
4876,00
4665,00
3601,00
2192,00
2111,00
1580,00
2288,00
1993,00
3228,00
5000,00
5480,00
5770,00
4962,00
4685,00
3607,00
2222,00
2467,00
1594,00
2228,00
1910,00
3157,00
4809,00
6249,00
4607,00
4975,00
4784,00
3028,00
2461,00
2218,00
1351,00
2070,00
1887,00
3024,00
4596,00
6398,00
4459,00
5382,00
4359,00
2687,00
2249,00
2154,00
1169,00
2429,00
1762,00
2846,00
5627,00
5749,00
4502,00
5720,00
4403,00
2867,00
2635,00
2059,00
1511,00
2359,00
1741,00
2917,00
6249,00
5760,00
6250,00
5134,00
4831,00
3695,00
2462,00
2146,00
1579,00




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264072&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264072&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264072&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net







Median versus Mean
mean3616.13636363636
median3190.5

\begin{tabular}{lllllllll}
\hline
Median versus Mean \tabularnewline
mean & 3616.13636363636 \tabularnewline
median & 3190.5 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264072&T=1

[TABLE]
[ROW][C]Median versus Mean[/C][/ROW]
[ROW][C]mean[/C][C]3616.13636363636[/C][/ROW]
[ROW][C]median[/C][C]3190.5[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264072&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264072&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
mean3616.13636363636
median3190.5



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')