Free Statistics

of Irreproducible Research!

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, 11 Dec 2015 20:33:34 +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/11/t1449866022g3ttua5kqrogyu5.htm/, Retrieved Thu, 16 May 2024 04:34:33 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=286030, Retrieved Thu, 16 May 2024 04:34:33 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact69
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] [] [2015-12-11 20:33:34] [5fd2fca6b664199b2dd86155c5786748] [Current]
Feedback Forum

Post a new message
Dataseries X:
2132
1964
2209
1965
2631
2583
2714
2248
2364
3042
2316
2735
2493
2136
2467
2414
2556
2768
2998
2573
3005
3469
2540
3187
2689
2154
3065
2397
2787
3579
2915
3025
3245
3328
2840
3342
2261
2590
2624
1860
2577
2646
2639
2807
2350
3053
2203
2471
1967
2473
2397
1904
2732
2297
2734
2719
2296
3243
2166
2261
2408
2536
2324
2178
2803
2604
2782
2656
2801
3122
2393
2233
2451
2596
2467
2210
2948
2507
3019
2401
2818
3305
2101
2582
2407
2416
2463
2228
2616
2934
2668
2808
2664
3112
2321
2718
2297
2534
2647
2064
2642
2702
2348
2734
2709
3206
2214
2531
2119
2369
2682
1840
2622
2570
2447
2871
2485
2957
2102
2250
2051
2260
2327
1781
2631
2180
2150
2837
1976
2836
2203
1770




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 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 & 3 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=286030&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=286030&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=286030&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'Gertrude Mary Cox' @ cox.wessa.net







ParameterEstimated ValueStandard Deviation
mean2550.6742424242431.907759001621
standard deviation366.59224099089922.5621927625123

\begin{tabular}{lllllllll}
\hline
Parameter & Estimated Value & Standard Deviation \tabularnewline
mean & 2550.67424242424 & 31.907759001621 \tabularnewline
standard deviation & 366.592240990899 & 22.5621927625123 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=286030&T=1

[TABLE]
[ROW][C]Parameter[/C][C]Estimated Value[/C][C]Standard Deviation[/C][/ROW]
[ROW][C]mean[/C][C]2550.67424242424[/C][C]31.907759001621[/C][/ROW]
[ROW][C]standard deviation[/C][C]366.592240990899[/C][C]22.5621927625123[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=286030&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=286030&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
mean2550.6742424242431.907759001621
standard deviation366.59224099089922.5621927625123



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')