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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 computationMon, 16 Aug 2010 07:07:56 +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/2010/Aug/16/t1281942503r9s3l3291jknopm.htm/, Retrieved Thu, 16 May 2024 23:55:35 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=78933, Retrieved Thu, 16 May 2024 23:55:35 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact157

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Bezoekers per maand] [2010-08-16 07:07:56] [5e78ed906b09bab42b8ec3dd93b6358a] [Current]
- RMP     [Kernel Density Estimation] [Aantal bezoekers] [2010-08-16 07:41:35] [3d41945eca20332ad7c135bac91a27a3]
- RMPD    [Notched Boxplots] [Aantal bezoekers] [2010-08-16 08:06:05] [3d41945eca20332ad7c135bac91a27a3]
- RMP     [Harrell-Davis Quantiles] [aan] [2010-08-16 08:20:51] [3d41945eca20332ad7c135bac91a27a3]
- RMP     [Harrell-Davis Quantiles] [Aantal bezoekers] [2010-08-16 08:20:51] [3d41945eca20332ad7c135bac91a27a3]
- RMP     [Harrell-Davis Quantiles] [aa] [2010-08-16 08:27:05] [3d41945eca20332ad7c135bac91a27a3]
- RMP     [Harrell-Davis Quantiles] [Aantal bezoekers] [2010-08-16 08:27:05] [3d41945eca20332ad7c135bac91a27a3]
- RMP     [Central Tendency] [Aantal bezoekers] [2010-08-16 08:41:24] [3d41945eca20332ad7c135bac91a27a3]
- RMP     [Mean Plot] [Aantal bezoekers] [2010-08-16 08:52:52] [3d41945eca20332ad7c135bac91a27a3]
- RMP     [(Partial) Autocorrelation Function] [Aantal bezoekers] [2010-08-16 09:18:19] [3d41945eca20332ad7c135bac91a27a3]
- RMP     [(Partial) Autocorrelation Function] [Aantal bezoekers] [2010-08-16 09:38:28] [3d41945eca20332ad7c135bac91a27a3]
- RMP     [Standard Deviation Plot] [aa] [2010-08-16 09:45:03] [3d41945eca20332ad7c135bac91a27a3]
- RMP     [Standard Deviation Plot] [Aantal bezoekers] [2010-08-16 09:45:03] [3d41945eca20332ad7c135bac91a27a3]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
556
555
554
552
572
571
556
546
547
547
548
550
555
549
555
550
566
573
543
535
542
541
535
536
548
546
548
548
561
563
527
527
541
534
522
527
539
533
532
519
538
542
503
502
522
511
492
500
509
511
505
493
518
518
474
471
483
461
439
446
461
449
441
424
447
448
404
403
411
386
359
370
385
369
368
352
378
383
334
323
330
303
275
284
301
281
284
272
297
300
240
236
247
218
192
201
223
197
195
175
197
204
142
142
151
127
100
114
139
112
123
108
132
140
76
71
81
57
38
46

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'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78933&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78933&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78933&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'RServer@AstonUniversity' @ vre.aston.ac.uk






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0,50[2520.0166670.0166670.000333
[50,100[7540.0333330.050.000667
[100,150[125110.0916670.1416670.001833
[150,200[17560.050.1916670.001
[200,250[22570.0583330.250.001167
[250,300[27560.050.30.001
[300,350[32560.050.350.001
[350,400[37590.0750.4250.0015
[400,450[425100.0833330.5083330.001667
[450,500[47570.0583330.5666670.001167
[500,550[525370.3083330.8750.006167
[550,600]575150.12510.0025

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0,50[ & 25 & 2 & 0.016667 & 0.016667 & 0.000333 \tabularnewline
[50,100[ & 75 & 4 & 0.033333 & 0.05 & 0.000667 \tabularnewline
[100,150[ & 125 & 11 & 0.091667 & 0.141667 & 0.001833 \tabularnewline
[150,200[ & 175 & 6 & 0.05 & 0.191667 & 0.001 \tabularnewline
[200,250[ & 225 & 7 & 0.058333 & 0.25 & 0.001167 \tabularnewline
[250,300[ & 275 & 6 & 0.05 & 0.3 & 0.001 \tabularnewline
[300,350[ & 325 & 6 & 0.05 & 0.35 & 0.001 \tabularnewline
[350,400[ & 375 & 9 & 0.075 & 0.425 & 0.0015 \tabularnewline
[400,450[ & 425 & 10 & 0.083333 & 0.508333 & 0.001667 \tabularnewline
[450,500[ & 475 & 7 & 0.058333 & 0.566667 & 0.001167 \tabularnewline
[500,550[ & 525 & 37 & 0.308333 & 0.875 & 0.006167 \tabularnewline
[550,600] & 575 & 15 & 0.125 & 1 & 0.0025 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78933&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][0,50[[/C][C]25[/C][C]2[/C][C]0.016667[/C][C]0.016667[/C][C]0.000333[/C][/ROW]
[ROW][C][50,100[[/C][C]75[/C][C]4[/C][C]0.033333[/C][C]0.05[/C][C]0.000667[/C][/ROW]
[ROW][C][100,150[[/C][C]125[/C][C]11[/C][C]0.091667[/C][C]0.141667[/C][C]0.001833[/C][/ROW]
[ROW][C][150,200[[/C][C]175[/C][C]6[/C][C]0.05[/C][C]0.191667[/C][C]0.001[/C][/ROW]
[ROW][C][200,250[[/C][C]225[/C][C]7[/C][C]0.058333[/C][C]0.25[/C][C]0.001167[/C][/ROW]
[ROW][C][250,300[[/C][C]275[/C][C]6[/C][C]0.05[/C][C]0.3[/C][C]0.001[/C][/ROW]
[ROW][C][300,350[[/C][C]325[/C][C]6[/C][C]0.05[/C][C]0.35[/C][C]0.001[/C][/ROW]
[ROW][C][350,400[[/C][C]375[/C][C]9[/C][C]0.075[/C][C]0.425[/C][C]0.0015[/C][/ROW]
[ROW][C][400,450[[/C][C]425[/C][C]10[/C][C]0.083333[/C][C]0.508333[/C][C]0.001667[/C][/ROW]
[ROW][C][450,500[[/C][C]475[/C][C]7[/C][C]0.058333[/C][C]0.566667[/C][C]0.001167[/C][/ROW]
[ROW][C][500,550[[/C][C]525[/C][C]37[/C][C]0.308333[/C][C]0.875[/C][C]0.006167[/C][/ROW]
[ROW][C][550,600][/C][C]575[/C][C]15[/C][C]0.125[/C][C]1[/C][C]0.0025[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78933&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78933&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
[0,50[2520.0166670.0166670.000333
[50,100[7540.0333330.050.000667
[100,150[125110.0916670.1416670.001833
[150,200[17560.050.1916670.001
[200,250[22570.0583330.250.001167
[250,300[27560.050.30.001
[300,350[32560.050.350.001
[350,400[37590.0750.4250.0015
[400,450[425100.0833330.5083330.001667
[450,500[47570.0583330.5666670.001167
[500,550[525370.3083330.8750.006167
[550,600]575150.12510.0025


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.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)
}
dev.off()
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')