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of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationTue, 23 Feb 2010 10:00:29 -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/2010/Feb/23/t1266944577bbypbuwy8dp4edz.htm/, Retrieved Fri, 29 Mar 2024 06:34:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=73358, Retrieved Fri, 29 Mar 2024 06:34:09 +0000
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Original text written by user:klassebreedte 20
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W21
Estimated Impact193
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [maximumleeftijd k...] [2010-02-23 17:00:29] [06ce09a0492afa6d4f67026fd1b7902e] [Current]
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Dataseries X:
8
10
10
13
14
12
11
8
8
10
10
12
12
12
11
12
12
12
12
12
12
10
12
10
11
10
10
12
10
12
7
12
18
12
11
13
10
10
10
8
12
10
10
8
14
9
8
12
15
14
1
9
7
8
12
57
12
10
10
8
8
16
14
13
10
12
9
12
11
10
8
8
9
12
8
12
10
12
9
8
12
8
12
10
12
9
28
10
12
9
14
12
12
99
13
13
14
12
12
10
11
12
14
10
12
12
6
12
10
12
12
12
9
12
12
13
8
12
10
10
10
9
12
9
10
8
12
10
8
8
9
12
12
10
10
9
11
10
9
15
10
8
10
8
9
9
6
16
12
12
12
12
10
12
8
9
12
12
8
14
10
12
8
11
10
12
12
12
12
8
10
7
10
10
12
11
9
10
12
14
13
10
11
10
10
8
10
10
10
8
8
4
14
8
12
12
10
8
12
12
10
10
12
12
9
11
14
10
8
12
8
10
11
12
10
10
12
8
9
12
8
8
10
10
10
14
10
12
12
13
9
12
12
10
12
6
8
12
10
9
11
11
9
10
15
12
7
7
10
9
10
10
9
12
10
9
12
10
7
12
10
10
12
8
12
10
10
9
8
8
12
12
10
12
10
9
10
10
8
10
12
12
16
10
9
12
12
10
7
12
10
10
6
9
6
18
13
10
12
15
12
12
9
7
12
13
14
13
12
8
8
10
10
8
12
10
12
12
12
9
12
7
12
8
8
12
14
10
5
9
8
13
10
10
14
10
99
10
12
17
14
8
14
12
12
10
10
8
12
12
12
10
12
10
10
12
12
12
12
13
12
8
10
12
8
10
10
12
12
12
12
12
12
14
10
12
14
12
14
12
13
8
12
14
10
10
11
16
12
10
10
99
8
11
12
12
11
10
20
9
14
12
10
12
10
12
12
8
12
12
10
99
12
2
10
10
10
12
12
12
12
88
9
12
14
8
12
10
10
10
7
8
10
1
10
10
9
15
10
12
12
12
11
12
12
14
8
12
12
10
14
8
10
12
10
10
10
12
9
12
11
8
14
12
10
12
10
8
14
12
12
12
8
12
12
10
12
12
12
9
11
10
15
10
9
9
10
7
10
9
10
10
10
15
12
12
10
12
8
12
11
8
14
8
12
10
15
9
13
12
14
12
12
17
10
13
12
12
10
12
10
12
10
10
10
1
8
12
10
10
10
12
12
11
12
8
8
12
12
10
12
9
10
12
12
12
12
10
10
9
12
10
9
12
7
14
10
10
9
10
8
10
12
12
10
9
10
9
12
10
12
10
9
7
12
11
12
9
13
12
12
7
8
12
12
12
11
12
13
10
12
10
12
12
15
12
12
13
10
10
8
11
12
12
12
12
10
10
12
15
12
10
10
7
12
10
11
10
10
10
10
11
7
15
8
10
6
8
9
8
7
10
12
14
11
8
10
8
8
14
12
15
12
12
9
12
12
9
11
15
11
12
7
15
9
10
15
15
8
11
12
10
10
12
7
12
10
11
12
10
10
8
9
8
10
10
14
10
10
12
12
7
12
10
12
9
9
13
14
10
12
12
12
12
12
10
10
8
12
8
14
10
70
12
10
8
8
11
10
8
7
8
50
9
12
12
7
10
8
10
10
10
8
12
7
13
13
8
8
11
6
12
9
12
13
13
12
12
10
8
12
10
10
15
12
10
12
8
8
12
12
10
12
9
12
12
10
9
10
10
10
12
12
12
12
8
10
12
15
10
8
15
10
9
12
99
10
10
11
11
12
12
14
12
14
9
10
12
13
10
11
10
12
12
12
13
14
9
10
10
12
12
10
99
8
99
12
99
12
10
12
10
12
12
12
10
12
12
10
10
12
99
12
12
9
99
12
12
9
12
12
12
15
12
12
12
8
8
12
8
12
12
10
10
12
99
8
8
99
10
10
5
9
9
99
9
10
12




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=73358&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=73358&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=73358&T=0

As an alternative you can also use a 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
[0,20[108390.9778550.9778550.048893
[20,40[3020.0023310.9801860.000117
[40,60[5020.0023310.9825170.000117
[60,80[7010.0011660.9836835.8e-05
[80,100]90140.01631710.000816

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0,20[ & 10 & 839 & 0.977855 & 0.977855 & 0.048893 \tabularnewline
[20,40[ & 30 & 2 & 0.002331 & 0.980186 & 0.000117 \tabularnewline
[40,60[ & 50 & 2 & 0.002331 & 0.982517 & 0.000117 \tabularnewline
[60,80[ & 70 & 1 & 0.001166 & 0.983683 & 5.8e-05 \tabularnewline
[80,100] & 90 & 14 & 0.016317 & 1 & 0.000816 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=73358&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][0,20[[/C][C]10[/C][C]839[/C][C]0.977855[/C][C]0.977855[/C][C]0.048893[/C][/ROW]
[ROW][C][20,40[[/C][C]30[/C][C]2[/C][C]0.002331[/C][C]0.980186[/C][C]0.000117[/C][/ROW]
[ROW][C][40,60[[/C][C]50[/C][C]2[/C][C]0.002331[/C][C]0.982517[/C][C]0.000117[/C][/ROW]
[ROW][C][60,80[[/C][C]70[/C][C]1[/C][C]0.001166[/C][C]0.983683[/C][C]5.8e-05[/C][/ROW]
[ROW][C][80,100][/C][C]90[/C][C]14[/C][C]0.016317[/C][C]1[/C][C]0.000816[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=73358&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=73358&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0,20[108390.9778550.9778550.048893
[20,40[3020.0023310.9801860.000117
[40,60[5020.0023310.9825170.000117
[60,80[7010.0011660.9836835.8e-05
[80,100]90140.01631710.000816



Parameters (Session):
par1 = 5 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 5 ; 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')