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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_meanplot.wasp
Title produced by softwareMean Plot
Date of computationFri, 26 Oct 2007 05:47:54 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2007/Oct/26/ogh21n2d9bdbuk01193402513.htm/, Retrieved Mon, 29 Apr 2024 00:38:55 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=1885, Retrieved Mon, 29 Apr 2024 00:38:55 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsmean plot
Estimated Impact284

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F       [Mean Plot] [workshop 3] [2007-10-26 12:47:54] [d06427f3e67cec1f6334fc93f511b0b4] [Current]
-   PD    [Mean Plot] [blog q4] [2008-10-30 12:10:36] [ed2ba3b6182103c15c0ab511ae4e6284]
-           [Mean Plot] [task 1] [2008-11-03 18:37:10] [4ad596f10399a71ad29b7d76e6ab90ac]
-           [Mean Plot] [task1] [2008-11-03 18:37:10] [4ad596f10399a71ad29b7d76e6ab90ac]
-           [Mean Plot] [task1] [2008-11-03 18:37:10] [4ad596f10399a71ad29b7d76e6ab90ac]
-           [Mean Plot] [task1] [2008-11-03 18:37:10] [4ad596f10399a71ad29b7d76e6ab90ac]
-           [Mean Plot] [] [2008-11-03 21:01:00] [af90f76a5211a482a7c35f2c76d2fd61]
-           [Mean Plot] [] [2008-11-03 21:09:50] [29747f79f5beb5b2516e1271770ecb47]
-    D    [Mean Plot] [reproduce Q5 WS 3a] [2008-10-30 17:57:50] [8545382734d98368249ce527c6558129]
- R  D    [Mean Plot] [Q2 Mean Plot] [2008-10-31 16:17:18] [24d7f27678d9617da3ec6ce17a09b334]
- RMP     [Notched Boxplots] [Q1 Notched Boxplot] [2008-10-31 16:24:37] [24d7f27678d9617da3ec6ce17a09b334]
- RMP     [Notched Boxplots] [Task 2 ] [2008-10-31 16:24:37] [24d7f27678d9617da3ec6ce17a09b334]
F R  D    [Mean Plot] [Q3 mean plot] [2008-10-31 16:45:23] [24d7f27678d9617da3ec6ce17a09b334]
- R  D    [Mean Plot] [Task 4] [2008-10-31 17:09:26] [24d7f27678d9617da3ec6ce17a09b334]
-    D    [Mean Plot] [Hypothesis Testin...] [2008-11-02 11:59:00] [b82ef11dce0545f3fd4676ec3ebed828]
F    D    [Mean Plot] [Task 5_Mean Plot] [2008-11-02 17:58:16] [6816386b1f3c2f6c0c9f2aa1e5bc9362]
-    D    [Mean Plot] [Q5] [2008-11-03 11:06:42] [491a70d26f8c977398d8a0c1c87d3dd4]
F   PD    [Mean Plot] [] [2008-11-03 17:26:57] [43d870b30ac8a7afeb5de9ee11dcfc1a]
F R PD    [Mean Plot] [Q5 ] [2008-11-03 17:26:49] [7458e879e85b911182071700fff19fbd]
-   P       [Mean Plot] [Feedback task 5 b...] [2008-11-11 14:07:01] [d32f94eec6fe2d8c421bd223368a5ced]
-    D    [Mean Plot] [Q5] [2008-11-03 20:05:29] [1e82cb4c98d4057b5653dbe7a07f2cda]
-   PD    [Mean Plot] [] [2008-11-03 20:59:42] [af90f76a5211a482a7c35f2c76d2fd61]
-    D    [Mean Plot] [] [2008-11-03 21:00:51] [29747f79f5beb5b2516e1271770ecb47]
-    D    [Mean Plot] [] [2008-11-03 21:08:28] [29747f79f5beb5b2516e1271770ecb47]
F R  D    [Mean Plot] [Q5 deel 1] [2008-11-03 22:57:46] [7c17fad9f4753bf024cf26cfd4d30239]
Feedback Forum
2008-11-07 16:59:29 [Mehmet Yilmaz] [reply] 
De student geeft een correcte reproductie en conclusie.

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
119.5
125
145
105.3
116.9
120.1
88.9
78.4
114.6
113.3
117
99.6
99.4
101.9
115.2
108.5
113.8
121
92.2
90.2
101.5
126.6
93.9
89.8
93.4
101.5
110.4
105.9
108.4
113.9
86.1
69.4
101.2
100.5
98
106.6
90.1
96.9
125.9
112
100
123.9
79.8
83.4
113.6
112.9
104
109.9
99
106.3
128.9
111.1
102.9
130
87
87.5
117.6
103.4
110.8
112.6
102.5
112.4
135.6
105.1
127.7
137
91
90.5
122.4
123.3
124.3
120
118.1
119
142.7
123.6
129.6
146.9
108.7
99.4

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of compuational 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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=1885&T=0

[TABLE]
[ROW][C]Summary of compuational 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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=1885&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=1885&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 12 ;
Parameters (R input):
par1 = 12 ;
R code (references can be found in the software module):
par1 <- as.numeric(par1)
(n <- length(x))
(np <- floor(n / par1))
arr <- array(NA,dim=c(par1,np+1))
ari <- array(0,dim=par1)
j <- 0
for (i in 1:n)
{
j = j + 1
ari[j] = ari[j] + 1
arr[j,ari[j]] <- x[i]
if (j == par1) j = 0
}
ari
arr
arr.mean <- array(NA,dim=par1)
arr.median <- array(NA,dim=par1)
arr.midrange <- array(NA,dim=par1)
for (j in 1:par1)
{
arr.mean[j] <- mean(arr[j,],na.rm=TRUE)
arr.median[j] <- median(arr[j,],na.rm=TRUE)
arr.midrange[j] <- (quantile(arr[j,],0.75,na.rm=TRUE) + quantile(arr[j,],0.25,na.rm=TRUE)) / 2
}
overall.mean <- mean(x)
overall.median <- median(x)
overall.midrange <- (quantile(x,0.75) + quantile(x,0.25)) / 2
bitmap(file='plot1.png')
plot(arr.mean,type='b',ylab='mean',main='Mean Plot',xlab='Periodic Index')
mtext(paste('#blocks = ',np))
abline(overall.mean,0)
dev.off()
bitmap(file='plot2.png')
plot(arr.median,type='b',ylab='median',main='Median Plot',xlab='Periodic Index')
mtext(paste('#blocks = ',np))
abline(overall.median,0)
dev.off()
bitmap(file='plot3.png')
plot(arr.midrange,type='b',ylab='midrange',main='Midrange Plot',xlab='Periodic Index')
mtext(paste('#blocks = ',np))
abline(overall.midrange,0)
dev.off()
bitmap(file='plot4.png')
z <- data.frame(t(arr))
names(z) <- c(1:par1)
(boxplot(z,notch=TRUE,col='grey',xlab='Periodic Index',ylab='Value',main='Notched Box Plots - Periodic Subseries'))
dev.off()
bitmap(file='plot5.png')
z <- data.frame(arr)
names(z) <- c(1:np)
(boxplot(z,notch=TRUE,col='grey',xlab='Block Index',ylab='Value',main='Notched Box Plots - Sequential Blocks'))
dev.off()
bitmap(file='plot6.png')
z <- data.frame(cbind(arr.mean,arr.median,arr.midrange))
names(z) <- list('mean','median','midrange')
(boxplot(z,notch=TRUE,col='grey',ylab='Overall Central Tendency',main='Notched Box Plots'))
dev.off()