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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 computationFri, 07 Oct 2016 14:07:59 +0200
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/Oct/07/t1475842123fyxmmq39jei2mi7.htm/, Retrieved Mon, 06 May 2024 03:39:13 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=296590, Retrieved Mon, 06 May 2024 03:39:13 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordskolom M continuous distributions
Estimated Impact81
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] [meh] [2016-10-07 12:07:59] [34b674d558c9d5fa20516c65c4cfbe6a] [Current]
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Dataseries X:
0.8492044664
-0.8446262998
-0.7910760558
-0.05038392024
-0.2464188864
0.1315806453
1.304048419
2.1471768
-0.7652217433
0.05612256356
-0.02958060107
1.064082885
0.8073847572
0.2625724317
-0.4240055919
-0.4077533161
-0.3411788402
1.045206736
1.880861295
-0.8780569991
0.7871569064
-0.4414578601
-0.1765059703
0.3397830636
0.9358026535
-0.9862536837
-0.8961179878
0.323562547
-1.67492219
-0.8280757897
0.5635352221
-0.06601405835
1.18065285
1.134279092
-1.637636121
-1.496735502
0.05886672836
-0.5708510964
-0.04756638118
0.8205903499
0.9689190972
-0.6040829025
-0.1514046988
-0.5855150496
1.291938062
-1.134201109
-1.804010387
0.1320226378
0.4969220385
-0.8604974048
1.134427184
2.014929526
0.6535576334
0.2617652343
0.9596435467
-0.5274432545
-0.2580882611
-0.4072355607
0.08142901944
-0.2482706175
-0.2410010671
-0.3235962342
0.7786330857
1.703470121
-1.377775866
-0.5945255374
1.751045017
-0.1534023138
-0.1303004799
0.4836911735
-1.53185156
2.728200587
1.15743736
0.1846034934
0.3147508541
-0.4190142822
-0.4465829223
-0.5926184688
0.5334891756
0.2775020518
-1.371472238
2.029477685
-0.03579080558
-0.4187608183
-0.6556143828
0.5561622922
0.5802205022
-0.3053990549
-1.261973782
-0.9330650942
0.8214265992
0.1037543972
0.403471966
0.4588104928
-0.2756706425
-0.2796472409
0.7701744764
-2.013519306
-0.1510905933
-0.6798653303
0.178331853
0.09934947626
0.002380532857
1.278397533
-0.2489186341
-0.424555159
-1.24017991
0.6023463328
0.06356630721
-1.047795471
-0.2183267685
0.2603170061
-0.3911210379
0.2541374408
-1.07186655
0.807875283
0.06087753435
0.01735950247
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0.3107903097
0.3338789646
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0.2987931088
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0.4392257623
-1.144487017
-0.5722115418
0.6127502856
1.138728894
0.937787458
-1.702132629
1.557363027
0.3949848648
-1.376765489
0.3742867106
-0.3274600019
-0.381431711
-0.2353269653
-0.2572942638
-1.189703324
-1.287900987
0.108120831
0.8016906345
0.1050686051
0.911184978
-0.6045441822
-0.2479050179
1.974810075
-0.5777610165
-0.236047776




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=296590&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=296590&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=296590&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
mean0.01625048468191330.0720470993225713
standard deviation0.8823931539395960.0509449924958109

\begin{tabular}{lllllllll}
\hline
Parameter & Estimated Value & Standard Deviation \tabularnewline
mean & 0.0162504846819133 & 0.0720470993225713 \tabularnewline
standard deviation & 0.882393153939596 & 0.0509449924958109 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=296590&T=1

[TABLE]
[ROW][C]Parameter[/C][C]Estimated Value[/C][C]Standard Deviation[/C][/ROW]
[ROW][C]mean[/C][C]0.0162504846819133[/C][C]0.0720470993225713[/C][/ROW]
[ROW][C]standard deviation[/C][C]0.882393153939596[/C][C]0.0509449924958109[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=296590&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=296590&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
mean0.01625048468191330.0720470993225713
standard deviation0.8823931539395960.0509449924958109



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')