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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationTue, 21 Oct 2008 01:29:00 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Oct/21/t1224574178rk96ohbyhzxq3ct.htm/, Retrieved Sun, 19 May 2024 21:35:13 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=18356, Retrieved Sun, 19 May 2024 21:35:13 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact156

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Univariate Data Series] [Niet werkende wer...] [2008-10-13 17:27:39] [91d2608132ba5d00ecce3524d8276757]
- RMP     [Histogram] [Histogram vrouwel...] [2008-10-21 07:29:00] [5e9e099b83e50415d7642e10d74756e4] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
121148
114624
109822
112081
113534
112110
109826
107423
105540
108573
128591
139145
129700
132828
126868
128390
126830
124105
122323
119296
116822
119224
139357
144322
133676
128283
121640
122877
117284
116463
112685
113235
111692
113152
129889
131153
123770
112516
105940
104320
103582
99064
94989
92241
89752
90610
109456
110213
97694
91844
87572
89812
89050
85990
85070
83277
79586
84215
99708
100698
90861

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=18356&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=18356&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18356&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
[70000,80000[7500010.0163930.0163932e-06
[80000,90000[8500080.1311480.1475411.3e-05
[90000,1e+05[9500080.1311480.2786891.3e-05
[1e+05,110000[105000100.1639340.4426231.6e-05
[110000,120000[115000150.2459020.6885252.5e-05
[120000,130000[125000130.2131150.9016392.1e-05
[130000,140000[13500050.0819670.9836078e-06
[140000,150000]14500010.01639312e-06

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[70000,80000[ & 75000 & 1 & 0.016393 & 0.016393 & 2e-06 \tabularnewline
[80000,90000[ & 85000 & 8 & 0.131148 & 0.147541 & 1.3e-05 \tabularnewline
[90000,1e+05[ & 95000 & 8 & 0.131148 & 0.278689 & 1.3e-05 \tabularnewline
[1e+05,110000[ & 105000 & 10 & 0.163934 & 0.442623 & 1.6e-05 \tabularnewline
[110000,120000[ & 115000 & 15 & 0.245902 & 0.688525 & 2.5e-05 \tabularnewline
[120000,130000[ & 125000 & 13 & 0.213115 & 0.901639 & 2.1e-05 \tabularnewline
[130000,140000[ & 135000 & 5 & 0.081967 & 0.983607 & 8e-06 \tabularnewline
[140000,150000] & 145000 & 1 & 0.016393 & 1 & 2e-06 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18356&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][70000,80000[[/C][C]75000[/C][C]1[/C][C]0.016393[/C][C]0.016393[/C][C]2e-06[/C][/ROW]
[ROW][C][80000,90000[[/C][C]85000[/C][C]8[/C][C]0.131148[/C][C]0.147541[/C][C]1.3e-05[/C][/ROW]
[ROW][C][90000,1e+05[[/C][C]95000[/C][C]8[/C][C]0.131148[/C][C]0.278689[/C][C]1.3e-05[/C][/ROW]
[ROW][C][1e+05,110000[[/C][C]105000[/C][C]10[/C][C]0.163934[/C][C]0.442623[/C][C]1.6e-05[/C][/ROW]
[ROW][C][110000,120000[[/C][C]115000[/C][C]15[/C][C]0.245902[/C][C]0.688525[/C][C]2.5e-05[/C][/ROW]
[ROW][C][120000,130000[[/C][C]125000[/C][C]13[/C][C]0.213115[/C][C]0.901639[/C][C]2.1e-05[/C][/ROW]
[ROW][C][130000,140000[[/C][C]135000[/C][C]5[/C][C]0.081967[/C][C]0.983607[/C][C]8e-06[/C][/ROW]
[ROW][C][140000,150000][/C][C]145000[/C][C]1[/C][C]0.016393[/C][C]1[/C][C]2e-06[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18356&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18356&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
[70000,80000[7500010.0163930.0163932e-06
[80000,90000[8500080.1311480.1475411.3e-05
[90000,1e+05[9500080.1311480.2786891.3e-05
[1e+05,110000[105000100.1639340.4426231.6e-05
[110000,120000[115000150.2459020.6885252.5e-05
[120000,130000[125000130.2131150.9016392.1e-05
[130000,140000[13500050.0819670.9836078e-06
[140000,150000]14500010.01639312e-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')