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of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationFri, 26 Sep 2014 13:52:40 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Sep/26/t1411736082dv8ebbakmwalfyi.htm/, Retrieved Sun, 12 May 2024 18:19:44 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=236288, Retrieved Sun, 12 May 2024 18:19:44 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact75
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [] [2014-09-19 18:33:16] [24d0a9e7d3e0bd5045c9a6a8ddd5f7fc]
- R P     [Histogram] [] [2014-09-26 12:52:40] [f149622c9d515219c1fb7480e3dc01f1] [Current]
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Dataseries X:
0.52
0.54
0.54
0.54
0.54
0.54
0.54
0.54
0.54
0.54
0.54
0.54
0.59
0.59
0.59
0.59
0.59
0.59
0.59
0.59
0.59
0.59
0.59
0.59
0.59
0.59
0.59
0.59
0.59
0.59
0.59
0.59
0.59
0.59
0.59
0.59
0.61
0.61
0.61
0.61
0.61
0.61
0.61
0.61
0.61
0.61
0.61
0.61
0.65
0.65
0.65
0.65
0.65
0.65
0.65
0.65
0.65
0.65
0.65
0.65
0.67
0.67
0.67
0.67
0.67
0.67
0.67
0.67
0.67
0.67
0.67
0.67




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=236288&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' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=236288&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=236288&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' @ jenkins.wessa.net







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0.52,0.525[0.522510.0138890.0138892.777778
[0.525,0.53[0.5275000.0138890
[0.53,0.535[0.5325000.0138890
[0.535,0.54[0.5375000.0138890
[0.54,0.545[0.5425110.1527780.16666730.555556
[0.545,0.55[0.5475000.1666670
[0.55,0.555[0.5525000.1666670
[0.555,0.56[0.5575000.1666670
[0.56,0.565[0.5625000.1666670
[0.565,0.57[0.5675000.1666670
[0.57,0.575[0.5725000.1666670
[0.575,0.58[0.5775000.1666670
[0.58,0.585[0.5825000.1666670
[0.585,0.59[0.5875000.1666670
[0.59,0.595[0.5925240.3333330.566.666667
[0.595,0.6[0.5975000.50
[0.6,0.605[0.6025000.50
[0.605,0.61[0.6075000.50
[0.61,0.615[0.6125120.1666670.66666733.333333
[0.615,0.62[0.6175000.6666670
[0.62,0.625[0.6225000.6666670
[0.625,0.63[0.6275000.6666670
[0.63,0.635[0.6325000.6666670
[0.635,0.64[0.6375000.6666670
[0.64,0.645[0.6425000.6666670
[0.645,0.65[0.6475000.6666670
[0.65,0.655[0.6525120.1666670.83333333.333333
[0.655,0.66[0.6575000.8333330
[0.66,0.665[0.6625000.8333330
[0.665,0.67]0.6675120.166667133.333333

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0.52,0.525[ & 0.5225 & 1 & 0.013889 & 0.013889 & 2.777778 \tabularnewline
[0.525,0.53[ & 0.5275 & 0 & 0 & 0.013889 & 0 \tabularnewline
[0.53,0.535[ & 0.5325 & 0 & 0 & 0.013889 & 0 \tabularnewline
[0.535,0.54[ & 0.5375 & 0 & 0 & 0.013889 & 0 \tabularnewline
[0.54,0.545[ & 0.5425 & 11 & 0.152778 & 0.166667 & 30.555556 \tabularnewline
[0.545,0.55[ & 0.5475 & 0 & 0 & 0.166667 & 0 \tabularnewline
[0.55,0.555[ & 0.5525 & 0 & 0 & 0.166667 & 0 \tabularnewline
[0.555,0.56[ & 0.5575 & 0 & 0 & 0.166667 & 0 \tabularnewline
[0.56,0.565[ & 0.5625 & 0 & 0 & 0.166667 & 0 \tabularnewline
[0.565,0.57[ & 0.5675 & 0 & 0 & 0.166667 & 0 \tabularnewline
[0.57,0.575[ & 0.5725 & 0 & 0 & 0.166667 & 0 \tabularnewline
[0.575,0.58[ & 0.5775 & 0 & 0 & 0.166667 & 0 \tabularnewline
[0.58,0.585[ & 0.5825 & 0 & 0 & 0.166667 & 0 \tabularnewline
[0.585,0.59[ & 0.5875 & 0 & 0 & 0.166667 & 0 \tabularnewline
[0.59,0.595[ & 0.5925 & 24 & 0.333333 & 0.5 & 66.666667 \tabularnewline
[0.595,0.6[ & 0.5975 & 0 & 0 & 0.5 & 0 \tabularnewline
[0.6,0.605[ & 0.6025 & 0 & 0 & 0.5 & 0 \tabularnewline
[0.605,0.61[ & 0.6075 & 0 & 0 & 0.5 & 0 \tabularnewline
[0.61,0.615[ & 0.6125 & 12 & 0.166667 & 0.666667 & 33.333333 \tabularnewline
[0.615,0.62[ & 0.6175 & 0 & 0 & 0.666667 & 0 \tabularnewline
[0.62,0.625[ & 0.6225 & 0 & 0 & 0.666667 & 0 \tabularnewline
[0.625,0.63[ & 0.6275 & 0 & 0 & 0.666667 & 0 \tabularnewline
[0.63,0.635[ & 0.6325 & 0 & 0 & 0.666667 & 0 \tabularnewline
[0.635,0.64[ & 0.6375 & 0 & 0 & 0.666667 & 0 \tabularnewline
[0.64,0.645[ & 0.6425 & 0 & 0 & 0.666667 & 0 \tabularnewline
[0.645,0.65[ & 0.6475 & 0 & 0 & 0.666667 & 0 \tabularnewline
[0.65,0.655[ & 0.6525 & 12 & 0.166667 & 0.833333 & 33.333333 \tabularnewline
[0.655,0.66[ & 0.6575 & 0 & 0 & 0.833333 & 0 \tabularnewline
[0.66,0.665[ & 0.6625 & 0 & 0 & 0.833333 & 0 \tabularnewline
[0.665,0.67] & 0.6675 & 12 & 0.166667 & 1 & 33.333333 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=236288&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][0.52,0.525[[/C][C]0.5225[/C][C]1[/C][C]0.013889[/C][C]0.013889[/C][C]2.777778[/C][/ROW]
[ROW][C][0.525,0.53[[/C][C]0.5275[/C][C]0[/C][C]0[/C][C]0.013889[/C][C]0[/C][/ROW]
[ROW][C][0.53,0.535[[/C][C]0.5325[/C][C]0[/C][C]0[/C][C]0.013889[/C][C]0[/C][/ROW]
[ROW][C][0.535,0.54[[/C][C]0.5375[/C][C]0[/C][C]0[/C][C]0.013889[/C][C]0[/C][/ROW]
[ROW][C][0.54,0.545[[/C][C]0.5425[/C][C]11[/C][C]0.152778[/C][C]0.166667[/C][C]30.555556[/C][/ROW]
[ROW][C][0.545,0.55[[/C][C]0.5475[/C][C]0[/C][C]0[/C][C]0.166667[/C][C]0[/C][/ROW]
[ROW][C][0.55,0.555[[/C][C]0.5525[/C][C]0[/C][C]0[/C][C]0.166667[/C][C]0[/C][/ROW]
[ROW][C][0.555,0.56[[/C][C]0.5575[/C][C]0[/C][C]0[/C][C]0.166667[/C][C]0[/C][/ROW]
[ROW][C][0.56,0.565[[/C][C]0.5625[/C][C]0[/C][C]0[/C][C]0.166667[/C][C]0[/C][/ROW]
[ROW][C][0.565,0.57[[/C][C]0.5675[/C][C]0[/C][C]0[/C][C]0.166667[/C][C]0[/C][/ROW]
[ROW][C][0.57,0.575[[/C][C]0.5725[/C][C]0[/C][C]0[/C][C]0.166667[/C][C]0[/C][/ROW]
[ROW][C][0.575,0.58[[/C][C]0.5775[/C][C]0[/C][C]0[/C][C]0.166667[/C][C]0[/C][/ROW]
[ROW][C][0.58,0.585[[/C][C]0.5825[/C][C]0[/C][C]0[/C][C]0.166667[/C][C]0[/C][/ROW]
[ROW][C][0.585,0.59[[/C][C]0.5875[/C][C]0[/C][C]0[/C][C]0.166667[/C][C]0[/C][/ROW]
[ROW][C][0.59,0.595[[/C][C]0.5925[/C][C]24[/C][C]0.333333[/C][C]0.5[/C][C]66.666667[/C][/ROW]
[ROW][C][0.595,0.6[[/C][C]0.5975[/C][C]0[/C][C]0[/C][C]0.5[/C][C]0[/C][/ROW]
[ROW][C][0.6,0.605[[/C][C]0.6025[/C][C]0[/C][C]0[/C][C]0.5[/C][C]0[/C][/ROW]
[ROW][C][0.605,0.61[[/C][C]0.6075[/C][C]0[/C][C]0[/C][C]0.5[/C][C]0[/C][/ROW]
[ROW][C][0.61,0.615[[/C][C]0.6125[/C][C]12[/C][C]0.166667[/C][C]0.666667[/C][C]33.333333[/C][/ROW]
[ROW][C][0.615,0.62[[/C][C]0.6175[/C][C]0[/C][C]0[/C][C]0.666667[/C][C]0[/C][/ROW]
[ROW][C][0.62,0.625[[/C][C]0.6225[/C][C]0[/C][C]0[/C][C]0.666667[/C][C]0[/C][/ROW]
[ROW][C][0.625,0.63[[/C][C]0.6275[/C][C]0[/C][C]0[/C][C]0.666667[/C][C]0[/C][/ROW]
[ROW][C][0.63,0.635[[/C][C]0.6325[/C][C]0[/C][C]0[/C][C]0.666667[/C][C]0[/C][/ROW]
[ROW][C][0.635,0.64[[/C][C]0.6375[/C][C]0[/C][C]0[/C][C]0.666667[/C][C]0[/C][/ROW]
[ROW][C][0.64,0.645[[/C][C]0.6425[/C][C]0[/C][C]0[/C][C]0.666667[/C][C]0[/C][/ROW]
[ROW][C][0.645,0.65[[/C][C]0.6475[/C][C]0[/C][C]0[/C][C]0.666667[/C][C]0[/C][/ROW]
[ROW][C][0.65,0.655[[/C][C]0.6525[/C][C]12[/C][C]0.166667[/C][C]0.833333[/C][C]33.333333[/C][/ROW]
[ROW][C][0.655,0.66[[/C][C]0.6575[/C][C]0[/C][C]0[/C][C]0.833333[/C][C]0[/C][/ROW]
[ROW][C][0.66,0.665[[/C][C]0.6625[/C][C]0[/C][C]0[/C][C]0.833333[/C][C]0[/C][/ROW]
[ROW][C][0.665,0.67][/C][C]0.6675[/C][C]12[/C][C]0.166667[/C][C]1[/C][C]33.333333[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=236288&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=236288&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
[0.52,0.525[0.522510.0138890.0138892.777778
[0.525,0.53[0.5275000.0138890
[0.53,0.535[0.5325000.0138890
[0.535,0.54[0.5375000.0138890
[0.54,0.545[0.5425110.1527780.16666730.555556
[0.545,0.55[0.5475000.1666670
[0.55,0.555[0.5525000.1666670
[0.555,0.56[0.5575000.1666670
[0.56,0.565[0.5625000.1666670
[0.565,0.57[0.5675000.1666670
[0.57,0.575[0.5725000.1666670
[0.575,0.58[0.5775000.1666670
[0.58,0.585[0.5825000.1666670
[0.585,0.59[0.5875000.1666670
[0.59,0.595[0.5925240.3333330.566.666667
[0.595,0.6[0.5975000.50
[0.6,0.605[0.6025000.50
[0.605,0.61[0.6075000.50
[0.61,0.615[0.6125120.1666670.66666733.333333
[0.615,0.62[0.6175000.6666670
[0.62,0.625[0.6225000.6666670
[0.625,0.63[0.6275000.6666670
[0.63,0.635[0.6325000.6666670
[0.635,0.64[0.6375000.6666670
[0.64,0.645[0.6425000.6666670
[0.645,0.65[0.6475000.6666670
[0.65,0.655[0.6525120.1666670.83333333.333333
[0.655,0.66[0.6575000.8333330
[0.66,0.665[0.6625000.8333330
[0.665,0.67]0.6675120.166667133.333333



Parameters (Session):
par1 = 24 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 24 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
R code (references can be found in the software module):
par4 <- 'Unknown'
par3 <- 'FALSE'
par2 <- 'grey'
par1 <- '24'
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')
}