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Description of Statistical Computation

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 computationSun, 11 Dec 2016 18:29:59 +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/Dec/11/t1481477766qpwl8lj63mk6ibw.htm/, Retrieved Fri, 01 Nov 2024 03:38:33 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=298841, Retrieved Fri, 01 Nov 2024 03:38:33 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact101

Tree of Dependent Computations

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] [] [2016-12-11 17:29:59] [c4ef4c70482680cab119953cba46aca4] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
3,250
4,000
4,250
4,000
4,250
4,250
4,000
3,500
4,000
4,250
4,000
4,000
4,000
3,750
4,000
4,000
3,750
4,250
3,250
4,250
3,500
3,500
4,500
4,250
4,000
3,750
3,750
3,750
3,250
4,250
2,750
3,500
3,250
4,250
4,000
4,250
4,000
4,000
4,000
3,750
3,000
4,250
3,500
3,500
4,000
3,750
4,000
3,500
3,750
4,250
2,500
4,250
5,000
4,250
4,500
4,250
3,500
4,250
4,000
4,500
4,500
4,000
3,750
3,250
4,000
3,000
4,000
4,000
4,000
3,500
3,750
3,500
3,750
3,750
4,000
2,750
4,500
2,750
4,500
3,750
4,750
4,250
3,500
3,250
4,250
3,500
4,750
3,500
4,000
4,000
3,750
3,000
4,250
4,500
3,750
4,500
3,750
4,000
4,000

Tables (Output of Computation)





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=298841&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=298841&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=298841&T=0

As an alternative you can also use a QR Code:  
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
mean3.878787878787880.0467497342650973
standard deviation0.4651539828184470.0330570541175194

\begin{tabular}{lllllllll}
\hline
Parameter & Estimated Value & Standard Deviation \tabularnewline
mean & 3.87878787878788 & 0.0467497342650973 \tabularnewline
standard deviation & 0.465153982818447 & 0.0330570541175194 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=298841&T=1

[TABLE]
[ROW][C]Parameter[/C][C]Estimated Value[/C][C]Standard Deviation[/C][/ROW]
[ROW][C]mean[/C][C]3.87878787878788[/C][C]0.0467497342650973[/C][/ROW]
[ROW][C]standard deviation[/C][C]0.465153982818447[/C][C]0.0330570541175194[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=298841&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=298841&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

ParameterEstimated ValueStandard Deviation
mean3.878787878787880.0467497342650973
standard deviation0.4651539828184470.0330570541175194


Figures (Output of Computation)

Input Parameters & R Code

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')