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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 computationTue, 16 Dec 2014 13:50:35 +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/16/t1418737889lvae3w5rbf1yoaa.htm/, Retrieved Thu, 16 May 2024 08:07:38 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=269556, Retrieved Thu, 16 May 2024 08:07:38 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact83
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Two-Way ANOVA] [] [2010-11-02 14:42:14] [b98453cac15ba1066b407e146608df68]
- RMP   [Two-Way ANOVA] [] [2014-10-21 08:34:19] [32b17a345b130fdf5cc88718ed94a974]
- RMPD      [Mean versus Median] [Mean LFM] [2014-12-16 13:50:35] [ca907db95fc0b179b22bb0898c34dff4] [Current]
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Dataseries X:
109
68
131
71
68
89
115
78
118
87
162
49
122
96
100
82
100
115
141
110
146
90
121
104
147
110
108
113
115
61
60
109
68
111
77
73
89
78
110
65
117
63
52
62
131
101
42
77
96
57
112
49
56
86
88
48
85
63
102
162
86
114
94
81
110
64
104
105
49
88
95
102
99
63
76
109
117
57
120
73
91
108
105
119
31
48
50
150
154
194
158
159
67
147
39
100
111
138
101
101
114
165
114
111
75
82
121
32
150
117
165
154
126
138
149
145
120
138
109
132
172
169
114
156
172
167
113
173
2
165
165
118
158
49
155
151
220
141
122
44
152
107
154
103
154
175
143
110
131
167
137
121
149
168
140
168
94
51
145
66
109
128
164
119
126
132
142
83
166
93
117




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269556&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269556&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269556&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'Gwilym Jenkins' @ jenkins.wessa.net







Median versus Mean
mean109.877192982456
median110

\begin{tabular}{lllllllll}
\hline
Median versus Mean \tabularnewline
mean & 109.877192982456 \tabularnewline
median & 110 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269556&T=1

[TABLE]
[ROW][C]Median versus Mean[/C][/ROW]
[ROW][C]mean[/C][C]109.877192982456[/C][/ROW]
[ROW][C]median[/C][C]110[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269556&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269556&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
mean109.877192982456
median110



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')