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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 computationSat, 12 Dec 2015 11:25:04 +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/12/t1449919546ccwtpstp9jn23nx.htm/, Retrieved Thu, 16 May 2024 17:39:24 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=286055, Retrieved Thu, 16 May 2024 17:39:24 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact91
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] [t4 h3] [2015-12-12 11:25:04] [a3c9582f1a47633c0b9d0c2ac629e9ce] [Current]
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Dataseries X:
15.41476056
6.650648762
11.45819478
20.05069636
10.19271009
14.5734109
14.2922178
12.88458206
18.90378557
14.73749173
14.41740208
8.212692268
8.961032717
5.773379111
11.3613924
11.39345073
7.552213029
9.008089235
16.70271231
13.97682729
14.50209207
12.39689421
10.527181
10.04723258
4.918247324
19.12995825
13.42618965
14.07856088
13.16518896
9.008710278
29.84032079
10.97467472
6.098914768
13.26478526
3.97574219
16.27240585
7.234440234
12.57461265
11.8015315
11.44038449
5.816648937
19.62094874
8.292784878
21.6090806
7.648528714
9.565075321
8.193016497
13.16605121
7.825361991
9.184193348
13.69867021
8.006524215
9.846874576
3.632968119
16.70996402
15.25554628
13.56377475
11.79659411
11.63636591
12.51428947
11.64398646
16.16332697
17.7581236
12.30972154
3.885472083
5.01372146
13.9253049
16.36138118
24.12374756
10.15647907
10.64942473
11.44834177
10.18000366
8.933131346
5.825103332
9.457448323
14.59495968
14.5304523
19.12689097
10.55772642
18.55389137
17.51328284
17.9515454
16.29813549
14.975293
10.31946532
9.753708439
14.06195556
10.0519918
8.347517679
14.35889834
16.00691133
8.305898421
9.816238478
13.37499419
12.01595005
12.45825221
4.852503009
8.836779565
11.50798977
12.58339021
8.171492461
15.85820497
8.962697258
18.81714881
5.351970198
13.32215154
8.98981509
14.76626088
10.04456152
10.48837009
14.12768758
8.569785537
9.212731276
6.136692647
9.54200998
8.263908186
8.141896705
5.44217752
14.33811186
19.82212408
7.573084448
10.58392756
9.888537128
15.88228309
18.34456066
17.11746184
8.939946033
7.632129344
8.24475525
10.11729856
14.92696627
4.903136735
10.17387715
11.69284388
7.564961763
24.59523603
11.84898569
12.17394968
12.83605764
14.16669857
19.05430534
11.76780917
19.43732627
19.62008295
20.94263869
15.11367887
7.49484645
7.42193167
14.88509175




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 4 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=286055&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]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=286055&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=286055&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 time4 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net







ParameterEstimated ValueStandard Deviation
mean12.13788377217330.369930215404167
standard deviation4.530701340890390.261580163878086

\begin{tabular}{lllllllll}
\hline
Parameter & Estimated Value & Standard Deviation \tabularnewline
mean & 12.1378837721733 & 0.369930215404167 \tabularnewline
standard deviation & 4.53070134089039 & 0.261580163878086 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=286055&T=1

[TABLE]
[ROW][C]Parameter[/C][C]Estimated Value[/C][C]Standard Deviation[/C][/ROW]
[ROW][C]mean[/C][C]12.1378837721733[/C][C]0.369930215404167[/C][/ROW]
[ROW][C]standard deviation[/C][C]4.53070134089039[/C][C]0.261580163878086[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=286055&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=286055&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
mean12.13788377217330.369930215404167
standard deviation4.530701340890390.261580163878086



Parameters (Session):
par1 = 8 ; par2 = 0 ;
Parameters (R input):
par1 = 8 ; par2 = 0 ;
R code (references can be found in the software module):
par2 <- '0'
par1 <- '8'
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')