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Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationThu, 02 Oct 2014 18:42:16 +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/Oct/02/t1412271765sx1dh3fpcmd348g.htm/, Retrieved Sat, 11 May 2024 09:25:26 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=238188, Retrieved Sat, 11 May 2024 09:25:26 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact55
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [] [2014-10-02 17:42:16] [f2e79deb6e51141b138dd10990a8e48d] [Current]
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Dataseries X:
5.06
5.05
5.05
5.04
5.06
5.07
5.09
5.08
5.09
5.09
5.09
5.1
5.12
5.14
5.14
5.14
5.13
5.15
5.16
5.17
5.17
5.18
5.21
5.19
5.22
5.24
5.21
5.24
5.28
5.3
5.32
5.32
5.29
5.3
5.32
5.31
5.35
5.36
5.33
5.35
5.35
5.35
5.37
5.39
5.4
5.39
5.4
5.4
5.4
5.38
5.32
5.36
5.35
5.39
5.4
5.41
5.36
5.38
5.41
5.35
5.4
5.41
5.42
5.41
5.41
5.42
5.4
5.42
5.41
5.34
5.46
5.45
5.47
5.48
5.43
5.5
5.51
5.51
5.52
5.55
5.55
5.48
5.61
5.59
5.68
5.71
5.68
5.7
5.76
5.78
5.77
5.85
5.82
5.84
5.89
5.84




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238188&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=238188&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238188&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'Gertrude Mary Cox' @ cox.wessa.net







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[5,5.05[5.02510.0104170.0104170.208333
[5.05,5.1[5.075100.1041670.1145832.083333
[5.1,5.15[5.12560.06250.1770831.25
[5.15,5.2[5.17560.06250.2395831.25
[5.2,5.25[5.22550.0520830.2916671.041667
[5.25,5.3[5.27520.0208330.31250.416667
[5.3,5.35[5.32590.093750.406251.875
[5.35,5.4[5.375150.156250.56253.125
[5.4,5.45[5.425170.1770830.7395833.541667
[5.45,5.5[5.47550.0520830.7916671.041667
[5.5,5.55[5.52540.0416670.8333330.833333
[5.55,5.6[5.57530.031250.8645830.625
[5.6,5.65[5.62510.0104170.8750.208333
[5.65,5.7[5.67520.0208330.8958330.416667
[5.7,5.75[5.72520.0208330.9166670.416667
[5.75,5.8[5.77530.031250.9479170.625
[5.8,5.85[5.82530.031250.9791670.625
[5.85,5.9]5.87520.02083310.416667

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[5,5.05[ & 5.025 & 1 & 0.010417 & 0.010417 & 0.208333 \tabularnewline
[5.05,5.1[ & 5.075 & 10 & 0.104167 & 0.114583 & 2.083333 \tabularnewline
[5.1,5.15[ & 5.125 & 6 & 0.0625 & 0.177083 & 1.25 \tabularnewline
[5.15,5.2[ & 5.175 & 6 & 0.0625 & 0.239583 & 1.25 \tabularnewline
[5.2,5.25[ & 5.225 & 5 & 0.052083 & 0.291667 & 1.041667 \tabularnewline
[5.25,5.3[ & 5.275 & 2 & 0.020833 & 0.3125 & 0.416667 \tabularnewline
[5.3,5.35[ & 5.325 & 9 & 0.09375 & 0.40625 & 1.875 \tabularnewline
[5.35,5.4[ & 5.375 & 15 & 0.15625 & 0.5625 & 3.125 \tabularnewline
[5.4,5.45[ & 5.425 & 17 & 0.177083 & 0.739583 & 3.541667 \tabularnewline
[5.45,5.5[ & 5.475 & 5 & 0.052083 & 0.791667 & 1.041667 \tabularnewline
[5.5,5.55[ & 5.525 & 4 & 0.041667 & 0.833333 & 0.833333 \tabularnewline
[5.55,5.6[ & 5.575 & 3 & 0.03125 & 0.864583 & 0.625 \tabularnewline
[5.6,5.65[ & 5.625 & 1 & 0.010417 & 0.875 & 0.208333 \tabularnewline
[5.65,5.7[ & 5.675 & 2 & 0.020833 & 0.895833 & 0.416667 \tabularnewline
[5.7,5.75[ & 5.725 & 2 & 0.020833 & 0.916667 & 0.416667 \tabularnewline
[5.75,5.8[ & 5.775 & 3 & 0.03125 & 0.947917 & 0.625 \tabularnewline
[5.8,5.85[ & 5.825 & 3 & 0.03125 & 0.979167 & 0.625 \tabularnewline
[5.85,5.9] & 5.875 & 2 & 0.020833 & 1 & 0.416667 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238188&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][5,5.05[[/C][C]5.025[/C][C]1[/C][C]0.010417[/C][C]0.010417[/C][C]0.208333[/C][/ROW]
[ROW][C][5.05,5.1[[/C][C]5.075[/C][C]10[/C][C]0.104167[/C][C]0.114583[/C][C]2.083333[/C][/ROW]
[ROW][C][5.1,5.15[[/C][C]5.125[/C][C]6[/C][C]0.0625[/C][C]0.177083[/C][C]1.25[/C][/ROW]
[ROW][C][5.15,5.2[[/C][C]5.175[/C][C]6[/C][C]0.0625[/C][C]0.239583[/C][C]1.25[/C][/ROW]
[ROW][C][5.2,5.25[[/C][C]5.225[/C][C]5[/C][C]0.052083[/C][C]0.291667[/C][C]1.041667[/C][/ROW]
[ROW][C][5.25,5.3[[/C][C]5.275[/C][C]2[/C][C]0.020833[/C][C]0.3125[/C][C]0.416667[/C][/ROW]
[ROW][C][5.3,5.35[[/C][C]5.325[/C][C]9[/C][C]0.09375[/C][C]0.40625[/C][C]1.875[/C][/ROW]
[ROW][C][5.35,5.4[[/C][C]5.375[/C][C]15[/C][C]0.15625[/C][C]0.5625[/C][C]3.125[/C][/ROW]
[ROW][C][5.4,5.45[[/C][C]5.425[/C][C]17[/C][C]0.177083[/C][C]0.739583[/C][C]3.541667[/C][/ROW]
[ROW][C][5.45,5.5[[/C][C]5.475[/C][C]5[/C][C]0.052083[/C][C]0.791667[/C][C]1.041667[/C][/ROW]
[ROW][C][5.5,5.55[[/C][C]5.525[/C][C]4[/C][C]0.041667[/C][C]0.833333[/C][C]0.833333[/C][/ROW]
[ROW][C][5.55,5.6[[/C][C]5.575[/C][C]3[/C][C]0.03125[/C][C]0.864583[/C][C]0.625[/C][/ROW]
[ROW][C][5.6,5.65[[/C][C]5.625[/C][C]1[/C][C]0.010417[/C][C]0.875[/C][C]0.208333[/C][/ROW]
[ROW][C][5.65,5.7[[/C][C]5.675[/C][C]2[/C][C]0.020833[/C][C]0.895833[/C][C]0.416667[/C][/ROW]
[ROW][C][5.7,5.75[[/C][C]5.725[/C][C]2[/C][C]0.020833[/C][C]0.916667[/C][C]0.416667[/C][/ROW]
[ROW][C][5.75,5.8[[/C][C]5.775[/C][C]3[/C][C]0.03125[/C][C]0.947917[/C][C]0.625[/C][/ROW]
[ROW][C][5.8,5.85[[/C][C]5.825[/C][C]3[/C][C]0.03125[/C][C]0.979167[/C][C]0.625[/C][/ROW]
[ROW][C][5.85,5.9][/C][C]5.875[/C][C]2[/C][C]0.020833[/C][C]1[/C][C]0.416667[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=238188&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238188&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
[5,5.05[5.02510.0104170.0104170.208333
[5.05,5.1[5.075100.1041670.1145832.083333
[5.1,5.15[5.12560.06250.1770831.25
[5.15,5.2[5.17560.06250.2395831.25
[5.2,5.25[5.22550.0520830.2916671.041667
[5.25,5.3[5.27520.0208330.31250.416667
[5.3,5.35[5.32590.093750.406251.875
[5.35,5.4[5.375150.156250.56253.125
[5.4,5.45[5.425170.1770830.7395833.541667
[5.45,5.5[5.47550.0520830.7916671.041667
[5.5,5.55[5.52540.0416670.8333330.833333
[5.55,5.6[5.57530.031250.8645830.625
[5.6,5.65[5.62510.0104170.8750.208333
[5.65,5.7[5.67520.0208330.8958330.416667
[5.7,5.75[5.72520.0208330.9166670.416667
[5.75,5.8[5.77530.031250.9479170.625
[5.8,5.85[5.82530.031250.9791670.625
[5.85,5.9]5.87520.02083310.416667



Parameters (Session):
par1 = 18 ; par2 = yellow ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 18 ; par2 = yellow ; 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.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')
}