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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 computationThu, 04 Oct 2012 09:02:53 -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/2012/Oct/04/t1349355874scodz8jbnjnolwl.htm/, Retrieved Mon, 29 Apr 2024 08:32:18 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=171882, Retrieved Mon, 29 Apr 2024 08:32:18 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact77

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [] [2012-10-04 13:02:53] [38a0db91cd47487c7649642dcb33e029] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
435
431
434
439
455
452
426
428
433
438
442
446
442
436
444
454
469
471
443
437
444
451
457
460
454
439
441
446
459
456
433
424
430
428
424
419
409
397
397
401
413
413
390
385
397
398
406
412
409
404
412
418
434
431
406
416
424
427
438
444
442
443
453
471
476
476
461
462
460
463
467
468
465
459
465
471
472
472
456
455
456
462
463
461

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=171882&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=171882&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=171882&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 time2 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[380,390[38510.0119050.0119050.00119
[390,400[39550.0595240.0714290.005952
[400,410[40560.0714290.1428570.007143
[410,420[41570.0833330.226190.008333
[420,430[42570.0833330.3095240.008333
[430,440[435140.1666670.476190.016667
[440,450[445110.1309520.6071430.013095
[450,460[455130.1547620.7619050.015476
[460,470[465130.1547620.9166670.015476
[470,480]47570.08333310.008333

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[380,390[ & 385 & 1 & 0.011905 & 0.011905 & 0.00119 \tabularnewline
[390,400[ & 395 & 5 & 0.059524 & 0.071429 & 0.005952 \tabularnewline
[400,410[ & 405 & 6 & 0.071429 & 0.142857 & 0.007143 \tabularnewline
[410,420[ & 415 & 7 & 0.083333 & 0.22619 & 0.008333 \tabularnewline
[420,430[ & 425 & 7 & 0.083333 & 0.309524 & 0.008333 \tabularnewline
[430,440[ & 435 & 14 & 0.166667 & 0.47619 & 0.016667 \tabularnewline
[440,450[ & 445 & 11 & 0.130952 & 0.607143 & 0.013095 \tabularnewline
[450,460[ & 455 & 13 & 0.154762 & 0.761905 & 0.015476 \tabularnewline
[460,470[ & 465 & 13 & 0.154762 & 0.916667 & 0.015476 \tabularnewline
[470,480] & 475 & 7 & 0.083333 & 1 & 0.008333 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=171882&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][380,390[[/C][C]385[/C][C]1[/C][C]0.011905[/C][C]0.011905[/C][C]0.00119[/C][/ROW]
[ROW][C][390,400[[/C][C]395[/C][C]5[/C][C]0.059524[/C][C]0.071429[/C][C]0.005952[/C][/ROW]
[ROW][C][400,410[[/C][C]405[/C][C]6[/C][C]0.071429[/C][C]0.142857[/C][C]0.007143[/C][/ROW]
[ROW][C][410,420[[/C][C]415[/C][C]7[/C][C]0.083333[/C][C]0.22619[/C][C]0.008333[/C][/ROW]
[ROW][C][420,430[[/C][C]425[/C][C]7[/C][C]0.083333[/C][C]0.309524[/C][C]0.008333[/C][/ROW]
[ROW][C][430,440[[/C][C]435[/C][C]14[/C][C]0.166667[/C][C]0.47619[/C][C]0.016667[/C][/ROW]
[ROW][C][440,450[[/C][C]445[/C][C]11[/C][C]0.130952[/C][C]0.607143[/C][C]0.013095[/C][/ROW]
[ROW][C][450,460[[/C][C]455[/C][C]13[/C][C]0.154762[/C][C]0.761905[/C][C]0.015476[/C][/ROW]
[ROW][C][460,470[[/C][C]465[/C][C]13[/C][C]0.154762[/C][C]0.916667[/C][C]0.015476[/C][/ROW]
[ROW][C][470,480][/C][C]475[/C][C]7[/C][C]0.083333[/C][C]1[/C][C]0.008333[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=171882&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=171882&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
[380,390[38510.0119050.0119050.00119
[390,400[39550.0595240.0714290.005952
[400,410[40560.0714290.1428570.007143
[410,420[41570.0833330.226190.008333
[420,430[42570.0833330.3095240.008333
[430,440[435140.1666670.476190.016667
[440,450[445110.1309520.6071430.013095
[450,460[455130.1547620.7619050.015476
[460,470[465130.1547620.9166670.015476
[470,480]47570.08333310.008333


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')
}