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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 computationTue, 06 Dec 2016 10:32:25 +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/2016/Dec/06/t1481021080k8p3p5xcq0sitay.htm/, Retrieved Sat, 04 May 2024 16:49:33 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Sat, 04 May 2024 16:49:33 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
272567
266674
301601
322421
313776
300156
315745
299214
295184
340003
332748
316337
293572
308713
354188
334540
313285
337881
356955
323661
296034
377623
342590
300905
309470
271492
307759
326106
335576
310485
335173
298344
288269
319410
327692
315401
277720
260573
318025
300264
317640
303273
315089
275840
292823
339759
328032
344675
260952
275466
331940
347644
338063
384283
398482
347062
350731
368799
387710
362988

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'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 & 1 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

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






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[260000,265000[26250020.0333330.0333337e-06
[265000,270000[26750010.0166670.053e-06
[270000,275000[27250020.0333330.0833337e-06
[275000,280000[27750030.050.1333331e-05
[280000,285000[282500000.1333330
[285000,290000[28750010.0166670.153e-06
[290000,295000[29250020.0333330.1833337e-06
[295000,3e+05[29750040.0666670.251.3e-05
[3e+05,305000[30250050.0833330.3333331.7e-05
[305000,310000[30750030.050.3833331e-05
[310000,315000[31250030.050.4333331e-05
[315000,320000[31750070.1166670.552.3e-05
[320000,325000[32250020.0333330.5833337e-06
[325000,330000[32750030.050.6333331e-05
[330000,335000[33250030.050.6833331e-05
[335000,340000[33750050.0833330.7666671.7e-05
[340000,345000[34250030.050.8166671e-05
[345000,350000[34750020.0333330.857e-06
[350000,355000[35250020.0333330.8833337e-06
[355000,360000[35750010.0166670.93e-06
[360000,365000[36250010.0166670.9166673e-06
[365000,370000[36750010.0166670.9333333e-06
[370000,375000[372500000.9333330
[375000,380000[37750010.0166670.953e-06
[380000,385000[38250010.0166670.9666673e-06
[385000,390000[38750010.0166670.9833333e-06
[390000,395000[392500000.9833330
[395000,4e+05]39750010.01666713e-06

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[260000,265000[ & 262500 & 2 & 0.033333 & 0.033333 & 7e-06 \tabularnewline
[265000,270000[ & 267500 & 1 & 0.016667 & 0.05 & 3e-06 \tabularnewline
[270000,275000[ & 272500 & 2 & 0.033333 & 0.083333 & 7e-06 \tabularnewline
[275000,280000[ & 277500 & 3 & 0.05 & 0.133333 & 1e-05 \tabularnewline
[280000,285000[ & 282500 & 0 & 0 & 0.133333 & 0 \tabularnewline
[285000,290000[ & 287500 & 1 & 0.016667 & 0.15 & 3e-06 \tabularnewline
[290000,295000[ & 292500 & 2 & 0.033333 & 0.183333 & 7e-06 \tabularnewline
[295000,3e+05[ & 297500 & 4 & 0.066667 & 0.25 & 1.3e-05 \tabularnewline
[3e+05,305000[ & 302500 & 5 & 0.083333 & 0.333333 & 1.7e-05 \tabularnewline
[305000,310000[ & 307500 & 3 & 0.05 & 0.383333 & 1e-05 \tabularnewline
[310000,315000[ & 312500 & 3 & 0.05 & 0.433333 & 1e-05 \tabularnewline
[315000,320000[ & 317500 & 7 & 0.116667 & 0.55 & 2.3e-05 \tabularnewline
[320000,325000[ & 322500 & 2 & 0.033333 & 0.583333 & 7e-06 \tabularnewline
[325000,330000[ & 327500 & 3 & 0.05 & 0.633333 & 1e-05 \tabularnewline
[330000,335000[ & 332500 & 3 & 0.05 & 0.683333 & 1e-05 \tabularnewline
[335000,340000[ & 337500 & 5 & 0.083333 & 0.766667 & 1.7e-05 \tabularnewline
[340000,345000[ & 342500 & 3 & 0.05 & 0.816667 & 1e-05 \tabularnewline
[345000,350000[ & 347500 & 2 & 0.033333 & 0.85 & 7e-06 \tabularnewline
[350000,355000[ & 352500 & 2 & 0.033333 & 0.883333 & 7e-06 \tabularnewline
[355000,360000[ & 357500 & 1 & 0.016667 & 0.9 & 3e-06 \tabularnewline
[360000,365000[ & 362500 & 1 & 0.016667 & 0.916667 & 3e-06 \tabularnewline
[365000,370000[ & 367500 & 1 & 0.016667 & 0.933333 & 3e-06 \tabularnewline
[370000,375000[ & 372500 & 0 & 0 & 0.933333 & 0 \tabularnewline
[375000,380000[ & 377500 & 1 & 0.016667 & 0.95 & 3e-06 \tabularnewline
[380000,385000[ & 382500 & 1 & 0.016667 & 0.966667 & 3e-06 \tabularnewline
[385000,390000[ & 387500 & 1 & 0.016667 & 0.983333 & 3e-06 \tabularnewline
[390000,395000[ & 392500 & 0 & 0 & 0.983333 & 0 \tabularnewline
[395000,4e+05] & 397500 & 1 & 0.016667 & 1 & 3e-06 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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][260000,265000[[/C][C]262500[/C][C]2[/C][C]0.033333[/C][C]0.033333[/C][C]7e-06[/C][/ROW]
[ROW][C][265000,270000[[/C][C]267500[/C][C]1[/C][C]0.016667[/C][C]0.05[/C][C]3e-06[/C][/ROW]
[ROW][C][270000,275000[[/C][C]272500[/C][C]2[/C][C]0.033333[/C][C]0.083333[/C][C]7e-06[/C][/ROW]
[ROW][C][275000,280000[[/C][C]277500[/C][C]3[/C][C]0.05[/C][C]0.133333[/C][C]1e-05[/C][/ROW]
[ROW][C][280000,285000[[/C][C]282500[/C][C]0[/C][C]0[/C][C]0.133333[/C][C]0[/C][/ROW]
[ROW][C][285000,290000[[/C][C]287500[/C][C]1[/C][C]0.016667[/C][C]0.15[/C][C]3e-06[/C][/ROW]
[ROW][C][290000,295000[[/C][C]292500[/C][C]2[/C][C]0.033333[/C][C]0.183333[/C][C]7e-06[/C][/ROW]
[ROW][C][295000,3e+05[[/C][C]297500[/C][C]4[/C][C]0.066667[/C][C]0.25[/C][C]1.3e-05[/C][/ROW]
[ROW][C][3e+05,305000[[/C][C]302500[/C][C]5[/C][C]0.083333[/C][C]0.333333[/C][C]1.7e-05[/C][/ROW]
[ROW][C][305000,310000[[/C][C]307500[/C][C]3[/C][C]0.05[/C][C]0.383333[/C][C]1e-05[/C][/ROW]
[ROW][C][310000,315000[[/C][C]312500[/C][C]3[/C][C]0.05[/C][C]0.433333[/C][C]1e-05[/C][/ROW]
[ROW][C][315000,320000[[/C][C]317500[/C][C]7[/C][C]0.116667[/C][C]0.55[/C][C]2.3e-05[/C][/ROW]
[ROW][C][320000,325000[[/C][C]322500[/C][C]2[/C][C]0.033333[/C][C]0.583333[/C][C]7e-06[/C][/ROW]
[ROW][C][325000,330000[[/C][C]327500[/C][C]3[/C][C]0.05[/C][C]0.633333[/C][C]1e-05[/C][/ROW]
[ROW][C][330000,335000[[/C][C]332500[/C][C]3[/C][C]0.05[/C][C]0.683333[/C][C]1e-05[/C][/ROW]
[ROW][C][335000,340000[[/C][C]337500[/C][C]5[/C][C]0.083333[/C][C]0.766667[/C][C]1.7e-05[/C][/ROW]
[ROW][C][340000,345000[[/C][C]342500[/C][C]3[/C][C]0.05[/C][C]0.816667[/C][C]1e-05[/C][/ROW]
[ROW][C][345000,350000[[/C][C]347500[/C][C]2[/C][C]0.033333[/C][C]0.85[/C][C]7e-06[/C][/ROW]
[ROW][C][350000,355000[[/C][C]352500[/C][C]2[/C][C]0.033333[/C][C]0.883333[/C][C]7e-06[/C][/ROW]
[ROW][C][355000,360000[[/C][C]357500[/C][C]1[/C][C]0.016667[/C][C]0.9[/C][C]3e-06[/C][/ROW]
[ROW][C][360000,365000[[/C][C]362500[/C][C]1[/C][C]0.016667[/C][C]0.916667[/C][C]3e-06[/C][/ROW]
[ROW][C][365000,370000[[/C][C]367500[/C][C]1[/C][C]0.016667[/C][C]0.933333[/C][C]3e-06[/C][/ROW]
[ROW][C][370000,375000[[/C][C]372500[/C][C]0[/C][C]0[/C][C]0.933333[/C][C]0[/C][/ROW]
[ROW][C][375000,380000[[/C][C]377500[/C][C]1[/C][C]0.016667[/C][C]0.95[/C][C]3e-06[/C][/ROW]
[ROW][C][380000,385000[[/C][C]382500[/C][C]1[/C][C]0.016667[/C][C]0.966667[/C][C]3e-06[/C][/ROW]
[ROW][C][385000,390000[[/C][C]387500[/C][C]1[/C][C]0.016667[/C][C]0.983333[/C][C]3e-06[/C][/ROW]
[ROW][C][390000,395000[[/C][C]392500[/C][C]0[/C][C]0[/C][C]0.983333[/C][C]0[/C][/ROW]
[ROW][C][395000,4e+05][/C][C]397500[/C][C]1[/C][C]0.016667[/C][C]1[/C][C]3e-06[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
[260000,265000[26250020.0333330.0333337e-06
[265000,270000[26750010.0166670.053e-06
[270000,275000[27250020.0333330.0833337e-06
[275000,280000[27750030.050.1333331e-05
[280000,285000[282500000.1333330
[285000,290000[28750010.0166670.153e-06
[290000,295000[29250020.0333330.1833337e-06
[295000,3e+05[29750040.0666670.251.3e-05
[3e+05,305000[30250050.0833330.3333331.7e-05
[305000,310000[30750030.050.3833331e-05
[310000,315000[31250030.050.4333331e-05
[315000,320000[31750070.1166670.552.3e-05
[320000,325000[32250020.0333330.5833337e-06
[325000,330000[32750030.050.6333331e-05
[330000,335000[33250030.050.6833331e-05
[335000,340000[33750050.0833330.7666671.7e-05
[340000,345000[34250030.050.8166671e-05
[345000,350000[34750020.0333330.857e-06
[350000,355000[35250020.0333330.8833337e-06
[355000,360000[35750010.0166670.93e-06
[360000,365000[36250010.0166670.9166673e-06
[365000,370000[36750010.0166670.9333333e-06
[370000,375000[372500000.9333330
[375000,380000[37750010.0166670.953e-06
[380000,385000[38250010.0166670.9666673e-06
[385000,390000[38750010.0166670.9833333e-06
[390000,395000[392500000.9833330
[395000,4e+05]39750010.01666713e-06


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 24 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 24 ; 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 {
barplot(mytab <- sort(table(x),T),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')
}