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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 computationThu, 07 Dec 2017 17:28:40 +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/2017/Dec/07/t15126641452rpyd0vt0gc01n8.htm/, Retrieved Wed, 15 May 2024 00:46:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=308738, Retrieved Wed, 15 May 2024 00:46:25 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact106
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] [QQ Plot - Passengers] [2017-12-07 16:28:40] [0553ded3e3c4af9d05e2b3f12829db4c] [Current]
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Dataseries X:
694
694
1486
2974
2642
2052
2052
2056
2052
3700
2974
1452
2052
2052
2124
2974
2124
2052
2124
2052
2124
2758
2974
2758
1770
2032
1890
2032
1882
2032
2850
2032
94
1366
808
2114
1302
1494
2720
2720
776
2114
1344
3800
1928
1080
940
1791
2620
2000
1750
1750
1380
2104
1264
1214
1848
749
1320
1266
1266
1266
1440
1494
1440
1848
1566
3959
1560
1250
2550
1700
952
1566
1052
2240
1748
2394
2244
1056
2002
2144
1504
1956
1150
2002
1748
684
684
684
826
1968
1178
1874
2016
1882
3574
2600
1974
3100
1950
2674
3782
2758
2600
1974
686
1590
1200
2674
1950
2602
1950
688
394
700
490
320
700
3114
2501
2020
1950
3114
4370
1950
3634
2501
1800
4370
2744
3114
2744
3114
5400
2501
2435
2501
2852
2076
2435
3114
208
208
208
296
382
388
296
66
800
1480
1287
66
1960
158
167
308




Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time4 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 time4 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=308738&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]4 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=308738&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=308738&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 time4 seconds
R ServerBig Analytics Cloud Computing Center







ParameterEstimated ValueStandard Deviation
mean1845.7405063291176.742816449833
standard deviation964.64224483024654.2653659190315

\begin{tabular}{lllllllll}
\hline
Parameter & Estimated Value & Standard Deviation \tabularnewline
mean & 1845.74050632911 & 76.742816449833 \tabularnewline
standard deviation & 964.642244830246 & 54.2653659190315 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=308738&T=1

[TABLE]
[ROW][C]Parameter[/C][C]Estimated Value[/C][C]Standard Deviation[/C][/ROW]
[ROW][C]mean[/C][C]1845.74050632911[/C][C]76.742816449833[/C][/ROW]
[ROW][C]standard deviation[/C][C]964.642244830246[/C][C]54.2653659190315[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=308738&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=308738&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
mean1845.7405063291176.742816449833
standard deviation964.64224483024654.2653659190315



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')