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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 computationTue, 22 Nov 2016 15:18:32 +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/22/t1479824672qh1qq58a2vd894y.htm/, Retrieved Sun, 05 May 2024 15:09:43 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=296945, Retrieved Sun, 05 May 2024 15:09:43 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact43
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] [Normal QQ Plot co...] [2016-11-22 14:18:32] [563c2945bc7c763925d38f2fb19cdb55] [Current]
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Dataseries X:
6830.2
4108.8
3131.6
7008
1276.8
6554.6
4387.6
4651.8
6192.2
4645.4
4540
5115.2
6776.2
4455
2579
7855.2
866.6
6406.4
4479.6
5164
6308.2
5124.8
4958.4
5410.8
7570.4
4753.8
3406.2
10495.2
723.6
6954
5429.6
5155.2
6930
6119
4681.2
6040
8226
5075.4
2514.4
9024
1964
7282.4
6287.6
5152.8
7425
6224.6
4824.4
6716.8
9293.2
4561
2848
14370
1855
8104.2
6377.8
5376.8
7959.4
6485.8
5007.8
7307.4
8797.4
5130.2
4127.4
10666.8
3591.6
9218.4
5158.2
6388.4
8356.8
6257.4
5964.4
7934.6
9725.4
4685.4
3553.8
13706.6
5067.2
9975.2
5875.4
7386.4
9005.2
7098.6
6889.6
7477
11208.8
5766
2634.8
14875
4293.4
9927.8
6658
7286.8
9332.8
8138.2
5431.2
9294.2
10176.4
5585.8
2257.6
15553.6
2402.4
8903.4
7680.6
6912
9595.8
7866.4
6397.4
8344.4
12090.2
4442.6
3900.6
13598.6
2402.4
10614.4
7019.6
6943




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=296945&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=296945&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=296945&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
mean6525.1724137931264.826884325764
standard deviation2852.27283490837187.260885747253

\begin{tabular}{lllllllll}
\hline
Parameter & Estimated Value & Standard Deviation \tabularnewline
mean & 6525.1724137931 & 264.826884325764 \tabularnewline
standard deviation & 2852.27283490837 & 187.260885747253 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=296945&T=1

[TABLE]
[ROW][C]Parameter[/C][C]Estimated Value[/C][C]Standard Deviation[/C][/ROW]
[ROW][C]mean[/C][C]6525.1724137931[/C][C]264.826884325764[/C][/ROW]
[ROW][C]standard deviation[/C][C]2852.27283490837[/C][C]187.260885747253[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=296945&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=296945&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
mean6525.1724137931264.826884325764
standard deviation2852.27283490837187.260885747253



Parameters (Session):
par1 = 200 ; par2 = 5 ; par3 = 0 ; par4 = P1 P5 Q1 Q3 P95 P99 ;
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')