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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, 28 Dec 2009 07:14:23 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Dec/28/t1262009700sdln3ynhpb5iy1l.htm/, Retrieved Sun, 05 May 2024 20:08:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=70975, Retrieved Sun, 05 May 2024 20:08:00 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact108

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [histogram goudprijs] [2009-12-28 14:14:23] [47a6e19efaace1829ce1b2ce66897f57] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
10070
10137
9984
9732
9103
9155
9308
9394
9948
10177
10002
9728
10002
10063
10018
9960
10236
10893
10756
10940
10997
10827
10166
10186
10457
10368
10244
10511
10812
10738
10171
9721
9897
9828
9924
10371
10846
10413
10709
10662
10570
10297
10635
10872
10296
10383
10431
10574
10653
10805
10872
10625
10407
10463
10556
10646
10702
11353
11346
11451
11964
12574
13031
13812
14544
14931
14886
16005
17064
15168
16050
15839
15137
14954
15648
15305
15579
16348
15928
16171
15937
15713
15594
15683
16438
17032
17696
17745
19394
20148
20108
18584
18441
18391
19178
18079
18483
19644
19195
19650
20830
23595
22937
21814
21928
21777
21383
21467
22052
22680
24320

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'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=70975&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=70975&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=70975&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'Gwilym Jenkins' @ 72.249.127.135






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[8000,10000[9000130.1171170.1171175.9e-05
[10000,12000[11000480.4324320.549550.000216
[12000,14000[1300030.0270270.5765771.4e-05
[14000,16000[15000150.1351350.7117126.8e-05
[16000,18000[1700090.0810810.7927934.1e-05
[18000,20000[19000100.090090.8828834.5e-05
[20000,22000[2100080.0720720.9549553.6e-05
[22000,24000[2300040.0360360.9909911.8e-05
[24000,26000]2500010.00900915e-06

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[8000,10000[ & 9000 & 13 & 0.117117 & 0.117117 & 5.9e-05 \tabularnewline
[10000,12000[ & 11000 & 48 & 0.432432 & 0.54955 & 0.000216 \tabularnewline
[12000,14000[ & 13000 & 3 & 0.027027 & 0.576577 & 1.4e-05 \tabularnewline
[14000,16000[ & 15000 & 15 & 0.135135 & 0.711712 & 6.8e-05 \tabularnewline
[16000,18000[ & 17000 & 9 & 0.081081 & 0.792793 & 4.1e-05 \tabularnewline
[18000,20000[ & 19000 & 10 & 0.09009 & 0.882883 & 4.5e-05 \tabularnewline
[20000,22000[ & 21000 & 8 & 0.072072 & 0.954955 & 3.6e-05 \tabularnewline
[22000,24000[ & 23000 & 4 & 0.036036 & 0.990991 & 1.8e-05 \tabularnewline
[24000,26000] & 25000 & 1 & 0.009009 & 1 & 5e-06 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=70975&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][8000,10000[[/C][C]9000[/C][C]13[/C][C]0.117117[/C][C]0.117117[/C][C]5.9e-05[/C][/ROW]
[ROW][C][10000,12000[[/C][C]11000[/C][C]48[/C][C]0.432432[/C][C]0.54955[/C][C]0.000216[/C][/ROW]
[ROW][C][12000,14000[[/C][C]13000[/C][C]3[/C][C]0.027027[/C][C]0.576577[/C][C]1.4e-05[/C][/ROW]
[ROW][C][14000,16000[[/C][C]15000[/C][C]15[/C][C]0.135135[/C][C]0.711712[/C][C]6.8e-05[/C][/ROW]
[ROW][C][16000,18000[[/C][C]17000[/C][C]9[/C][C]0.081081[/C][C]0.792793[/C][C]4.1e-05[/C][/ROW]
[ROW][C][18000,20000[[/C][C]19000[/C][C]10[/C][C]0.09009[/C][C]0.882883[/C][C]4.5e-05[/C][/ROW]
[ROW][C][20000,22000[[/C][C]21000[/C][C]8[/C][C]0.072072[/C][C]0.954955[/C][C]3.6e-05[/C][/ROW]
[ROW][C][22000,24000[[/C][C]23000[/C][C]4[/C][C]0.036036[/C][C]0.990991[/C][C]1.8e-05[/C][/ROW]
[ROW][C][24000,26000][/C][C]25000[/C][C]1[/C][C]0.009009[/C][C]1[/C][C]5e-06[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=70975&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=70975&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
[8000,10000[9000130.1171170.1171175.9e-05
[10000,12000[11000480.4324320.549550.000216
[12000,14000[1300030.0270270.5765771.4e-05
[14000,16000[15000150.1351350.7117126.8e-05
[16000,18000[1700090.0810810.7927934.1e-05
[18000,20000[19000100.090090.8828834.5e-05
[20000,22000[2100080.0720720.9549553.6e-05
[22000,24000[2300040.0360360.9909911.8e-05
[24000,26000]2500010.00900915e-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.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')