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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, 30 Nov 2016 11:49:44 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Nov/30/t1480503005y4hopjofrab7693.htm/, Retrieved Sat, 18 May 2024 20:42:40 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=297329, Retrieved Sat, 18 May 2024 20:42:40 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact95
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] [] [2016-11-30 10:49:44] [94ac3c9a028ddd47e8862e80eac9f626] [Current]
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Dataseries X:
-35.68
-39.41
-90.98
-99.79
9.899
-55.35
-82.98
-26.85
-130.7
-196
103.4
-17.23
29.32
217.6
119
73.21
-47.1
-46.35
163
143.1
9.336
159
193.4
312.8
307.3
107.6
95.02
138.2
182.9
179.6
153
269.1
-90.66
143
184.4
26.77
357.3
220.6
237
84.21
353.9
286.6
323
32.15
68.34
127
348.4
488.8
374.3
415.6
79.02
456.2
380.9
246.6
370
255.1
374.3
231
69.4
-15.23
-114.7
-44.41
-49.98
-102.8
108.9
231.6
137
230.1
294.3
228
43.4
-114.2
-145.7
-191.4
54.02
-102.8
-103.1
-145.4
-200
-113.9
-53.66
-288
-143.6
33.77
-249.7
107.6
-191
-89.79
-92.1
-257.4
-116
-329.9
-82.66
-101
-90.6
108.8
-74.68
-146.4
-187
-81.79
-228.1
-46.35
-114
-13.85
-194.7
-164
-48.6
49.77
233.3
-85.41
-34.98
-25.79
-176.1
55.65
15.02
-18.85
-66.66
-166
1.399
96.77
90.32
-102.4
164
-23.79
-66.1
-135.4
-215
-102.9
-64.66
-196
-32.6
41.77
-57.68
-186.4
-91.98
-124.8
-169.1
-44.35
-182
-104.9
-161.7
-22.04
-311.6
-224.2
-248.7
-89.41
-55.98
-80.79
-100.1
-181.4
-0.9764
-146.9
-28.66
88.96
-180.6
-439.2
-266.7
-102.4
-142
-119.8
-135.1
-8.351
-154
27.15
-115.7
0.9611
-50.6
-86.23
-228.7
-94.6
15.83
79.02
9.71
-94.54
-72.17
-122
113.1
33.77
-169.8
-256.4
30.14
13.4
79.83
21.02
70.71
14.46
-24.17
22.96
130.1
121.8
84.21
-6.415




Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R ServerBig Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time3 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=297329&T=0

[TABLE]
[ROW]
Summary of computational transaction[/C][/ROW] [ROW]Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW]Raw Output[/C]view raw output of R engine [/C][/ROW] [ROW]Computing time[/C]3 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=297329&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=297329&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 Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R ServerBig Analytics Cloud Computing Center







ParameterEstimated ValueStandard Deviation
mean-0.0055588541666661512.0868521262288
standard deviation167.4803358896028.54669510165543

\begin{tabular}{lllllllll}
\hline
Parameter & Estimated Value & Standard Deviation \tabularnewline
mean & -0.00555885416666615 & 12.0868521262288 \tabularnewline
standard deviation & 167.480335889602 & 8.54669510165543 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=297329&T=1

[TABLE]
[ROW][C]Parameter[/C][C]Estimated Value[/C][C]Standard Deviation[/C][/ROW]
[ROW][C]mean[/C][C]-0.00555885416666615[/C][C]12.0868521262288[/C][/ROW]
[ROW][C]standard deviation[/C][C]167.480335889602[/C][C]8.54669510165543[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=297329&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=297329&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
mean-0.0055588541666661512.0868521262288
standard deviation167.4803358896028.54669510165543



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')
print(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')