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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, 26 Nov 2015 09:31:27 +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/Nov/26/t144853033558gve277knmac2d.htm/, Retrieved Tue, 14 May 2024 03:32:24 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=284175, Retrieved Tue, 14 May 2024 03:32:24 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact123
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] [normaal verdeling...] [2015-11-26 09:31:27] [20fcaaf1d4bc4a12bf87c6c50d624c14] [Current]
- RMPD    [Mean Plot] [Mean plot totaal ...] [2015-11-26 10:44:14] [22b6f4a061c8797aa483199554a73d13]
-           [Mean Plot] [Mean plot totaal ...] [2015-11-26 10:49:34] [22b6f4a061c8797aa483199554a73d13]
-             [Mean Plot] [Mean plot totaal ...] [2015-11-26 10:50:58] [22b6f4a061c8797aa483199554a73d13]
- R             [Mean Plot] [Mean plot totaal ...] [2015-11-26 11:00:55] [22b6f4a061c8797aa483199554a73d13]
- R  D            [Mean Plot] [Mean plot totaal ...] [2015-11-26 11:02:48] [22b6f4a061c8797aa483199554a73d13]
- RMPD              [Skewness-Kurtosis Plot] [skewness - kurtos...] [2015-11-27 10:13:44] [22b6f4a061c8797aa483199554a73d13]
-    D                [Skewness-Kurtosis Plot] [skewness - kurtos...] [2015-11-27 10:28:07] [22b6f4a061c8797aa483199554a73d13]
- RM D                [Skewness and Kurtosis Test] [skewness - kurtos...] [2015-11-27 10:34:49] [22b6f4a061c8797aa483199554a73d13]
- R               [Mean Plot] [Mean plot totaal ...] [2015-11-26 11:04:26] [22b6f4a061c8797aa483199554a73d13]
-                   [Mean Plot] [] [2015-11-26 11:07:22] [22b6f4a061c8797aa483199554a73d13]
-                     [Mean Plot] [Mean plot totaal ...] [2015-11-26 11:14:20] [22b6f4a061c8797aa483199554a73d13]
-    D                  [Mean Plot] [Mean plot totaal ...] [2015-11-26 11:17:19] [22b6f4a061c8797aa483199554a73d13]
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Dataseries X:
55954
52044
49975
50398
48751
46908
44938
42372
43522
58434
62713
59266
53411
50215
48474
50250
49409
46751
44869
43023
44638
57810
65000
61665
56119
52162
51069
51744
50816
48578
47144
44839
45879
60730
65037
63281
57300
53335
51813
52597
50744
48008
45326
42661
43627
58156
61772
59879
54417
50575
48798
48819
47606
45345
42484
39735
40959
53249
57028
55763
50547




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=284175&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=284175&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=284175&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 time3 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







ParameterEstimated ValueStandard Deviation
mean51290.6721311475811.102219111451
standard deviation6334.91084394238573.535879369164

\begin{tabular}{lllllllll}
\hline
Parameter & Estimated Value & Standard Deviation \tabularnewline
mean & 51290.6721311475 & 811.102219111451 \tabularnewline
standard deviation & 6334.91084394238 & 573.535879369164 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=284175&T=1

[TABLE]
[ROW][C]Parameter[/C][C]Estimated Value[/C][C]Standard Deviation[/C][/ROW]
[ROW][C]mean[/C][C]51290.6721311475[/C][C]811.102219111451[/C][/ROW]
[ROW][C]standard deviation[/C][C]6334.91084394238[/C][C]573.535879369164[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=284175&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=284175&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
mean51290.6721311475811.102219111451
standard deviation6334.91084394238573.535879369164



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')
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')