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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationSun, 02 Oct 2011 15:07:13 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Oct/02/t1317582612qguq1d4058xc75r.htm/, Retrieved Thu, 16 May 2024 06:05:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=125141, Retrieved Thu, 16 May 2024 06:05:25 +0000
QR Codes:

Original text written by user:De data betreft de maandelijkse verkoopscijfers van de kleinhandel en voeding in de Verenigde Staten van januari 2005 tot en met december 2010. De cijfers zijn uitgedrukt in miljoen Amerikaanse dollar
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W1
Estimated Impact99

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [verkoopcijfers kl...] [2011-10-02 19:07:13] [b44111bcd41b31de06c81f2dca643b69] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
293896
295705
339828
336278
346017
351623
352478
356391
333962
336828
344530
406516
319235
314750
362781
352440
374399
367418
362980
376600
346981
349571
357797
419221
329877
324252
375221
359533
392530
377686
373303
388904
354829
369553
378740
427251
343705
345062
374186
370241
399458
379886
385254
384375
352107
351566
337330
386331
311953
301261
330481
331632
349725
346615
350251
355782
326844
341207
342127
403845
318619
315067
365498
362038
371518
364774
368462
369199
351696
361750
372533
434288

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Herman Ole Andreas Wold' @ wold.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 & 1 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=125141&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=125141&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=125141&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[280000,3e+05[29000020.0277780.0277781e-06
[3e+05,320000[31000060.0833330.1111114e-06
[320000,340000[330000100.1388890.257e-06
[340000,360000[350000220.3055560.5555561.5e-05
[360000,380000[370000210.2916670.8472221.5e-05
[380000,4e+05[39000060.0833330.9305564e-06
[4e+05,420000[41000030.0416670.9722222e-06
[420000,440000]43000020.02777811e-06

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[280000,3e+05[ & 290000 & 2 & 0.027778 & 0.027778 & 1e-06 \tabularnewline
[3e+05,320000[ & 310000 & 6 & 0.083333 & 0.111111 & 4e-06 \tabularnewline
[320000,340000[ & 330000 & 10 & 0.138889 & 0.25 & 7e-06 \tabularnewline
[340000,360000[ & 350000 & 22 & 0.305556 & 0.555556 & 1.5e-05 \tabularnewline
[360000,380000[ & 370000 & 21 & 0.291667 & 0.847222 & 1.5e-05 \tabularnewline
[380000,4e+05[ & 390000 & 6 & 0.083333 & 0.930556 & 4e-06 \tabularnewline
[4e+05,420000[ & 410000 & 3 & 0.041667 & 0.972222 & 2e-06 \tabularnewline
[420000,440000] & 430000 & 2 & 0.027778 & 1 & 1e-06 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=125141&T=1

[TABLE]
[ROW][C]Frequency Table (Histogram)[/C][/ROW]
[ROW][C]Bins[/C][C]Midpoint[/C][C]Abs. Frequency[/C][C]Rel. Frequency[/C][C]Cumul. Rel. Freq.[/C][C]Density[/C][/ROW]
[ROW][C][280000,3e+05[[/C][C]290000[/C][C]2[/C][C]0.027778[/C][C]0.027778[/C][C]1e-06[/C][/ROW]
[ROW][C][3e+05,320000[[/C][C]310000[/C][C]6[/C][C]0.083333[/C][C]0.111111[/C][C]4e-06[/C][/ROW]
[ROW][C][320000,340000[[/C][C]330000[/C][C]10[/C][C]0.138889[/C][C]0.25[/C][C]7e-06[/C][/ROW]
[ROW][C][340000,360000[[/C][C]350000[/C][C]22[/C][C]0.305556[/C][C]0.555556[/C][C]1.5e-05[/C][/ROW]
[ROW][C][360000,380000[[/C][C]370000[/C][C]21[/C][C]0.291667[/C][C]0.847222[/C][C]1.5e-05[/C][/ROW]
[ROW][C][380000,4e+05[[/C][C]390000[/C][C]6[/C][C]0.083333[/C][C]0.930556[/C][C]4e-06[/C][/ROW]
[ROW][C][4e+05,420000[[/C][C]410000[/C][C]3[/C][C]0.041667[/C][C]0.972222[/C][C]2e-06[/C][/ROW]
[ROW][C][420000,440000][/C][C]430000[/C][C]2[/C][C]0.027778[/C][C]1[/C][C]1e-06[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=125141&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=125141&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:

Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[280000,3e+05[29000020.0277780.0277781e-06
[3e+05,320000[31000060.0833330.1111114e-06
[320000,340000[330000100.1388890.257e-06
[340000,360000[350000220.3055560.5555561.5e-05
[360000,380000[370000210.2916670.8472221.5e-05
[380000,4e+05[39000060.0833330.9305564e-06
[4e+05,420000[41000030.0416670.9722222e-06
[420000,440000]43000020.02777811e-06


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
R code (references can be found in the software module):
par1 <- as.numeric(par1)
if (par3 == 'TRUE') par3 <- TRUE
if (par3 == 'FALSE') par3 <- FALSE
if (par4 == 'Unknown') par1 <- as.numeric(par1)
if (par4 == 'Interval/Ratio') par1 <- as.numeric(par1)
if (par4 == '3-point Likert') par1 <- c(1:3 - 0.5, 3.5)
if (par4 == '4-point Likert') par1 <- c(1:4 - 0.5, 4.5)
if (par4 == '5-point Likert') par1 <- c(1:5 - 0.5, 5.5)
if (par4 == '6-point Likert') par1 <- c(1:6 - 0.5, 6.5)
if (par4 == '7-point Likert') par1 <- c(1:7 - 0.5, 7.5)
if (par4 == '8-point Likert') par1 <- c(1:8 - 0.5, 8.5)
if (par4 == '9-point Likert') par1 <- c(1:9 - 0.5, 9.5)
if (par4 == '10-point Likert') par1 <- c(1:10 - 0.5, 10.5)
bitmap(file='test1.png')
if(is.numeric(x[1])) {
if (is.na(par1)) {
myhist<-hist(x,col=par2,main=main,xlab=xlab,right=par3)
} else {
if (par1 < 0) par1 <- 3
if (par1 > 50) par1 <- 50
myhist<-hist(x,breaks=par1,col=par2,main=main,xlab=xlab,right=par3)
}
} else {
plot(mytab <- table(x),col=par2,main='Frequency Plot',xlab=xlab,ylab='Absolute Frequency')
}
dev.off()
if(is.numeric(x[1])) {
myhist
n <- length(x)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('histogram.htm','Frequency Table (Histogram)',''),6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Bins',header=TRUE)
a<-table.element(a,'Midpoint',header=TRUE)
a<-table.element(a,'Abs. Frequency',header=TRUE)
a<-table.element(a,'Rel. Frequency',header=TRUE)
a<-table.element(a,'Cumul. Rel. Freq.',header=TRUE)
a<-table.element(a,'Density',header=TRUE)
a<-table.row.end(a)
crf <- 0
if (par3 == FALSE) mybracket <- '[' else mybracket <- ']'
mynumrows <- (length(myhist$breaks)-1)
for (i in 1:mynumrows) {
a<-table.row.start(a)
if (i == 1)
dum <- paste('[',myhist$breaks[i],sep='')
else
dum <- paste(mybracket,myhist$breaks[i],sep='')
dum <- paste(dum,myhist$breaks[i+1],sep=',')
if (i==mynumrows)
dum <- paste(dum,']',sep='')
else
dum <- paste(dum,mybracket,sep='')
a<-table.element(a,dum,header=TRUE)
a<-table.element(a,myhist$mids[i])
a<-table.element(a,myhist$counts[i])
rf <- myhist$counts[i]/n
crf <- crf + rf
a<-table.element(a,round(rf,6))
a<-table.element(a,round(crf,6))
a<-table.element(a,round(myhist$density[i],6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
} else {
mytab
reltab <- mytab / sum(mytab)
n <- length(mytab)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Frequency Table (Categorical Data)',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Category',header=TRUE)
a<-table.element(a,'Abs. Frequency',header=TRUE)
a<-table.element(a,'Rel. Frequency',header=TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,labels(mytab)$x[i],header=TRUE)
a<-table.element(a,mytab[i])
a<-table.element(a,round(reltab[i],4))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')
}