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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_fitdistrchisq1.wasp
Title produced by softwareMaximum-likelihood Fitting - Chi-squared Distribution
Date of computationFri, 07 Oct 2016 14:38:12 +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/t1475843914r35t3dpxd058fix.htm/, Retrieved Fri, 17 May 2024 01:05:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=296606, Retrieved Fri, 17 May 2024 01:05:25 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact96
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Maximum-likelihood Fitting - Chi-squared Distribution] [3.3.7.21.6 Task 6] [2016-10-07 12:38:12] [86c9a777e8dbb7ef3face68c75fc8376] [Current]
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Dataseries X:
0.4185758143
0.008996613406
2.304446734
0.8208080338
0.00008463100509
0.02804183914
0.008145352034
0.3331813671
0.3125783261
0.06533675715
1.634036002
0.1104321107
0.1932648791
1.102094214
2.601642178
5.405039485
1.693844588
0.1853330616
0.09062660774
1.685889219
0.3118030718
1.806357294
0.3243082989
1.326858643
0.2761081972
0.6538551157
0.004036524677
1.347880333
7.062046845
1.811696296
0.5200385769
0.645132408
0.04016664939
0.3346558162
1.721381839
0.2338950984
0.0005844342718
0.1563600336
0.07257346518
0.09149275258
0.07028209889
0.2656744375
0.4015815679
0.1733733585
0.007976226387
0.01629922454
7.436268032
0.2547075386
1.204926068
2.474939779
0.009240729477
3.442253436
0.9608032523
0.7602265524
0.6222613801
0.2901422059
0.003725075814
0.8813605903
0.5271673954
0.6768120013
0.007332848426
2.842449699
1.448391727
0.375612269
2.928604001
0.2809295346
3.526178474
0.007022265046
0.01204745315
2.107305392
0.1268201685
0.5117853305
1.461978555
0.1636281786
2.613477205
1.143586844
0.03928767268
0.4543359309
2.020444527
0.03348104868
0.3581020783
1.061924463
0.1155386289
0.3307054465
0.1112582478
0.0001569365886
0.7347089815
0.7948652274
1.637303275
2.318168245
1.959510043
2.903236783
0.2313604223
0.752433865
0.9805644763
2.666215153
0.9404600441
0.3572892694
0.5587596837
0.1055619061
0.06498306025
0.05139981512
0.5456980741
2.446373918
0.03646654727
0.09408887307
0.8584187255
2.708209089
0.4875002405
0.3777631198
3.029854125
0.504899181
1.28347335
0.9427580907
8.243221373
0.7765702705
0.001700464135
2.631734949
2.199339647
0.9620415325
0.1124039837
0.8622767484
0.0214443602
0.01932663328
1.230554412
1.718057145
2.046708031
0.8479538602
2.054864999
0.5173581904
0.09825289638
1.014263685
2.711144818
0.05301737418
0.02403670001
2.644182254
1.682606479
0.4063313742
0.236711401
2.101540046
1.252289657
0.6823920677
0.2879171784
1.093535097
0.1544107685
4.562921282
0.001131569965
0.09387370588
1.645941276
0.8682249336




Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time3 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 time3 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=296606&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]3 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=296606&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=296606&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 time3 seconds
R ServerBig Analytics Cloud Computing Center







ParameterEstimated ValueStandard Deviation
df1.074936154263090.0781483514223936

\begin{tabular}{lllllllll}
\hline
Parameter & Estimated Value & Standard Deviation \tabularnewline
df & 1.07493615426309 & 0.0781483514223936 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=296606&T=1

[TABLE]
[ROW][C]Parameter[/C][C]Estimated Value[/C][C]Standard Deviation[/C][/ROW]
[ROW][C]df[/C][C]1.07493615426309[/C][C]0.0781483514223936[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=296606&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=296606&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
df1.074936154263090.0781483514223936



Parameters (Session):
Parameters (R input):
R code (references can be found in the software module):
library(MASS)
library(car)
chii <- x
chi_df <- fitdistr(chii,'chi-squared',start=list(df=3), method='Brent',lower=0.1,upper=100)
chi_k <- chi_df[[1]][1]
bitmap(file='test1.png')
chi_hist <- hist(chii,breaks=50,col='gray',freq=FALSE,main='Histogram scaled to density',xlab='x')
curve(dchisq(x,df=chi_k),add=TRUE,col='red')
dev.off()
f<-chi_df
f$estimate
f$sd
xlab <- paste('Chisq(df = ',round(f$estimate[[1]],2),sep='')
xlab <- paste(xlab,')',sep='')
xlab
bitmap(file='test2.png')
qqPlot(x, dist='chisq', df=f$estimate[[1]], ncp=0, main='QQ plot (Chi-squared 1 param.)', xlab=xlab )
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,'df',header=TRUE)
a<-table.element(a,f$estimate[1])
a<-table.element(a,f$sd[1])
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')