Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationSun, 29 Sep 2013 08:42:08 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Sep/29/t1380458556e1rb8o9eudiskl5.htm/, Retrieved Sun, 28 Apr 2024 12:20:47 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=212388, Retrieved Sun, 28 Apr 2024 12:20:47 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact172
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [] [2013-09-29 12:42:08] [267d6dd6d9f18d2f1c3bf0912f69c4a3] [Current]
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Dataseries X:
5.53
5.53
5.53
5.53
5.53
5.53
5.53
5.53
5.53
5.67
5.67
5.67
5.67
5.67
5.67
5.67
5.67
5.67
5.67
5.67
5.67
5.89
5.89
5.89
5.89
5.89
5.89
5.89
5.89
5.89
5.89
5.89
5.89
6.08
6.08
6.08
6.08
6.08
6.08
6.08
6.08
6.08
6.08
6.08
6.08
6.28
6.28
6.28
6.28
6.28
6.28
6.28
6.28
6.28
6.28
6.28
6.28
6.31
6.31
6.31
6.31
6.31
6.31
6.31
6.31
6.31
6.31
6.31
6.31
6.48
6.48
6.48
6.48
6.48
6.48
6.48
6.48
6.48
6.48
6.48
6.48
6.5
6.5
6.5




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212388&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]2 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=212388&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212388&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 time2 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[5.5,5.55[5.52590.1071430.1071432.142857
[5.55,5.6[5.575000.1071430
[5.6,5.65[5.625000.1071430
[5.65,5.7[5.675120.1428570.252.857143
[5.7,5.75[5.725000.250
[5.75,5.8[5.775000.250
[5.8,5.85[5.825000.250
[5.85,5.9[5.875120.1428570.3928572.857143
[5.9,5.95[5.925000.3928570
[5.95,6[5.975000.3928570
[6,6.05[6.025000.3928570
[6.05,6.1[6.075120.1428570.5357142.857143
[6.1,6.15[6.125000.5357140
[6.15,6.2[6.175000.5357140
[6.2,6.25[6.225000.5357140
[6.25,6.3[6.275120.1428570.6785712.857143
[6.3,6.35[6.325120.1428570.8214292.857143
[6.35,6.4[6.375000.8214290
[6.4,6.45[6.425000.8214290
[6.45,6.5]6.475150.17857113.571429

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[5.5,5.55[ & 5.525 & 9 & 0.107143 & 0.107143 & 2.142857 \tabularnewline
[5.55,5.6[ & 5.575 & 0 & 0 & 0.107143 & 0 \tabularnewline
[5.6,5.65[ & 5.625 & 0 & 0 & 0.107143 & 0 \tabularnewline
[5.65,5.7[ & 5.675 & 12 & 0.142857 & 0.25 & 2.857143 \tabularnewline
[5.7,5.75[ & 5.725 & 0 & 0 & 0.25 & 0 \tabularnewline
[5.75,5.8[ & 5.775 & 0 & 0 & 0.25 & 0 \tabularnewline
[5.8,5.85[ & 5.825 & 0 & 0 & 0.25 & 0 \tabularnewline
[5.85,5.9[ & 5.875 & 12 & 0.142857 & 0.392857 & 2.857143 \tabularnewline
[5.9,5.95[ & 5.925 & 0 & 0 & 0.392857 & 0 \tabularnewline
[5.95,6[ & 5.975 & 0 & 0 & 0.392857 & 0 \tabularnewline
[6,6.05[ & 6.025 & 0 & 0 & 0.392857 & 0 \tabularnewline
[6.05,6.1[ & 6.075 & 12 & 0.142857 & 0.535714 & 2.857143 \tabularnewline
[6.1,6.15[ & 6.125 & 0 & 0 & 0.535714 & 0 \tabularnewline
[6.15,6.2[ & 6.175 & 0 & 0 & 0.535714 & 0 \tabularnewline
[6.2,6.25[ & 6.225 & 0 & 0 & 0.535714 & 0 \tabularnewline
[6.25,6.3[ & 6.275 & 12 & 0.142857 & 0.678571 & 2.857143 \tabularnewline
[6.3,6.35[ & 6.325 & 12 & 0.142857 & 0.821429 & 2.857143 \tabularnewline
[6.35,6.4[ & 6.375 & 0 & 0 & 0.821429 & 0 \tabularnewline
[6.4,6.45[ & 6.425 & 0 & 0 & 0.821429 & 0 \tabularnewline
[6.45,6.5] & 6.475 & 15 & 0.178571 & 1 & 3.571429 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212388&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][5.5,5.55[[/C][C]5.525[/C][C]9[/C][C]0.107143[/C][C]0.107143[/C][C]2.142857[/C][/ROW]
[ROW][C][5.55,5.6[[/C][C]5.575[/C][C]0[/C][C]0[/C][C]0.107143[/C][C]0[/C][/ROW]
[ROW][C][5.6,5.65[[/C][C]5.625[/C][C]0[/C][C]0[/C][C]0.107143[/C][C]0[/C][/ROW]
[ROW][C][5.65,5.7[[/C][C]5.675[/C][C]12[/C][C]0.142857[/C][C]0.25[/C][C]2.857143[/C][/ROW]
[ROW][C][5.7,5.75[[/C][C]5.725[/C][C]0[/C][C]0[/C][C]0.25[/C][C]0[/C][/ROW]
[ROW][C][5.75,5.8[[/C][C]5.775[/C][C]0[/C][C]0[/C][C]0.25[/C][C]0[/C][/ROW]
[ROW][C][5.8,5.85[[/C][C]5.825[/C][C]0[/C][C]0[/C][C]0.25[/C][C]0[/C][/ROW]
[ROW][C][5.85,5.9[[/C][C]5.875[/C][C]12[/C][C]0.142857[/C][C]0.392857[/C][C]2.857143[/C][/ROW]
[ROW][C][5.9,5.95[[/C][C]5.925[/C][C]0[/C][C]0[/C][C]0.392857[/C][C]0[/C][/ROW]
[ROW][C][5.95,6[[/C][C]5.975[/C][C]0[/C][C]0[/C][C]0.392857[/C][C]0[/C][/ROW]
[ROW][C][6,6.05[[/C][C]6.025[/C][C]0[/C][C]0[/C][C]0.392857[/C][C]0[/C][/ROW]
[ROW][C][6.05,6.1[[/C][C]6.075[/C][C]12[/C][C]0.142857[/C][C]0.535714[/C][C]2.857143[/C][/ROW]
[ROW][C][6.1,6.15[[/C][C]6.125[/C][C]0[/C][C]0[/C][C]0.535714[/C][C]0[/C][/ROW]
[ROW][C][6.15,6.2[[/C][C]6.175[/C][C]0[/C][C]0[/C][C]0.535714[/C][C]0[/C][/ROW]
[ROW][C][6.2,6.25[[/C][C]6.225[/C][C]0[/C][C]0[/C][C]0.535714[/C][C]0[/C][/ROW]
[ROW][C][6.25,6.3[[/C][C]6.275[/C][C]12[/C][C]0.142857[/C][C]0.678571[/C][C]2.857143[/C][/ROW]
[ROW][C][6.3,6.35[[/C][C]6.325[/C][C]12[/C][C]0.142857[/C][C]0.821429[/C][C]2.857143[/C][/ROW]
[ROW][C][6.35,6.4[[/C][C]6.375[/C][C]0[/C][C]0[/C][C]0.821429[/C][C]0[/C][/ROW]
[ROW][C][6.4,6.45[[/C][C]6.425[/C][C]0[/C][C]0[/C][C]0.821429[/C][C]0[/C][/ROW]
[ROW][C][6.45,6.5][/C][C]6.475[/C][C]15[/C][C]0.178571[/C][C]1[/C][C]3.571429[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=212388&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212388&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
[5.5,5.55[5.52590.1071430.1071432.142857
[5.55,5.6[5.575000.1071430
[5.6,5.65[5.625000.1071430
[5.65,5.7[5.675120.1428570.252.857143
[5.7,5.75[5.725000.250
[5.75,5.8[5.775000.250
[5.8,5.85[5.825000.250
[5.85,5.9[5.875120.1428570.3928572.857143
[5.9,5.95[5.925000.3928570
[5.95,6[5.975000.3928570
[6,6.05[6.025000.3928570
[6.05,6.1[6.075120.1428570.5357142.857143
[6.1,6.15[6.125000.5357140
[6.15,6.2[6.175000.5357140
[6.2,6.25[6.225000.5357140
[6.25,6.3[6.275120.1428570.6785712.857143
[6.3,6.35[6.325120.1428570.8214292.857143
[6.35,6.4[6.375000.8214290
[6.4,6.45[6.425000.8214290
[6.45,6.5]6.475150.17857113.571429



Parameters (Session):
par1 = 20 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 20 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
R code (references can be found in the software module):
par4 <- 'Unknown'
par3 <- 'FALSE'
par2 <- 'grey'
par1 <- ''
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')
}