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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_fitdistrnorm.wasp
Title produced by softwareML Fitting and QQ Plot- Normal Distribution
Date of computationWed, 09 Dec 2015 15:04:24 +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/2015/Dec/09/t14496736654zfo2lv0vpqzegn.htm/, Retrieved Thu, 16 May 2024 13:18:35 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=285728, Retrieved Thu, 16 May 2024 13:18:35 +0000
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Original text written by user:niet normaal verdeeld
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact61
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [ML Fitting and QQ Plot- Normal Distribution] [Normale distribut...] [2015-12-09 15:04:24] [cae531547c58087b556b797f0f317d97] [Current]
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Dataseries X:
166.06
154.50
146.87
145.10
143.32
137.03
132.42
130.71
128.60
130.39
138.43
154.74
184.35
163.39
149.06
147.10
138.06
134.13
139.87
133.68
125.47
137.03
140.50
157.13
159.55
160.36
156.48
153.03
138.03
139.70
138.23
145.68
139.90
142.06
145.77
171.19
171.61
150.21
144.65
140.33
129.61
130.40
128.13
125.35
129.73
136.84
137.80
153.00
165.03
172.25
177.06
142.10
136.16
135.87
119.84
119.84
126.13
133.58
132.27
153.77
161.90
155.11
156.55
138.47
130.16
133.20
152.71
121.87
129.57
127.52
132.90
143.10
154.94
166.86
147.10
142.97
127.77
131.43
126.84
123.10
127.80
133.23
148.90
143.45




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 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 & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=285728&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]3 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=285728&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=285728&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 time3 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







ParameterEstimated ValueStandard Deviation
mean142.8205952380951.53759306772864
standard deviation14.09227324181171.08724248489635

\begin{tabular}{lllllllll}
\hline
Parameter & Estimated Value & Standard Deviation \tabularnewline
mean & 142.820595238095 & 1.53759306772864 \tabularnewline
standard deviation & 14.0922732418117 & 1.08724248489635 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=285728&T=1

[TABLE]
[ROW][C]Parameter[/C][C]Estimated Value[/C][C]Standard Deviation[/C][/ROW]
[ROW][C]mean[/C][C]142.820595238095[/C][C]1.53759306772864[/C][/ROW]
[ROW][C]standard deviation[/C][C]14.0922732418117[/C][C]1.08724248489635[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=285728&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=285728&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

ParameterEstimated ValueStandard Deviation
mean142.8205952380951.53759306772864
standard deviation14.09227324181171.08724248489635



Parameters (Session):
par1 = 8 ; par2 = 0 ;
Parameters (R input):
par1 = 8 ; par2 = 0 ;
R code (references can be found in the software module):
library(MASS)
library(car)
par1 <- as.numeric(par1)
if (par2 == '0') par2 = 'Sturges' else par2 <- as.numeric(par2)
x <- as.ts(x) #otherwise the fitdistr function does not work properly
r <- fitdistr(x,'normal')
r
bitmap(file='test1.png')
myhist<-hist(x,col=par1,breaks=par2,main=main,ylab=ylab,xlab=xlab,freq=F)
curve(1/(r$estimate[2]*sqrt(2*pi))*exp(-1/2*((x-r$estimate[1])/r$estimate[2])^2),min(x),max(x),add=T)
dev.off()
bitmap(file='test3.png')
qqPlot(x,dist='norm',main='QQ plot (Normal) with confidence intervals')
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Parameter',1,TRUE)
a<-table.element(a,'Estimated Value',1,TRUE)
a<-table.element(a,'Standard Deviation',1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'mean',header=TRUE)
a<-table.element(a,r$estimate[1])
a<-table.element(a,r$sd[1])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'standard deviation',header=TRUE)
a<-table.element(a,r$estimate[2])
a<-table.element(a,r$sd[2])
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')