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Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationThu, 03 Oct 2013 04:41:24 -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/Oct/03/t1380789709jh32rstt01y39dd.htm/, Retrieved Wed, 01 May 2024 23:40:42 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=212794, Retrieved Wed, 01 May 2024 23:40:42 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact138
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Histogram consump...] [2013-10-03 08:41:24] [c68c3aee6924c33b46e27daebbe261d3] [Current]
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Dataseries X:
4.69
4.69
4.69
4.69
4.69
4.69
4.69
4.73
4.78
4.79
4.79
4.8
4.8
4.81
5.16
5.26
5.29
5.29
5.29
5.3
5.3
5.3
5.3
5.3
5.3
5.3
5.3
5.35
5.44
5.47
5.47
5.48
5.48
5.48
5.48
5.48
5.48
5.48
5.5
5.55
5.57
5.58
5.58
5.58
5.59
5.59
5.59
5.55
5.61
5.61
5.61
5.63
5.69
5.7
5.7
5.7
5.7
5.7
5.7
5.7
5.7
5.7
5.7
5.71
5.74
5.77
5.79
5.79
5.8
5.8
5.8
5.8
5.8
5.81
5.81
5.83
5.94
5.98
5.99
6
6.02
6.02
6.02
6.02




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=212794&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=212794&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212794&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
[4.65,4.7[4.67570.0833330.0833331.666667
[4.7,4.75[4.72510.0119050.0952380.238095
[4.75,4.8[4.77530.0357140.1309520.714286
[4.8,4.85[4.82530.0357140.1666670.714286
[4.85,4.9[4.875000.1666670
[4.9,4.95[4.925000.1666670
[4.95,5[4.975000.1666670
[5,5.05[5.025000.1666670
[5.05,5.1[5.075000.1666670
[5.1,5.15[5.125000.1666670
[5.15,5.2[5.17510.0119050.1785710.238095
[5.2,5.25[5.225000.1785710
[5.25,5.3[5.27540.0476190.226190.952381
[5.3,5.35[5.32580.0952380.3214291.904762
[5.35,5.4[5.37510.0119050.3333330.238095
[5.4,5.45[5.42510.0119050.3452380.238095
[5.45,5.5[5.47590.1071430.4523812.142857
[5.5,5.55[5.52510.0119050.4642860.238095
[5.55,5.6[5.57590.1071430.5714292.142857
[5.6,5.65[5.62540.0476190.6190480.952381
[5.65,5.7[5.67510.0119050.6309520.238095
[5.7,5.75[5.725120.1428570.773812.857143
[5.75,5.8[5.77530.0357140.8095240.714286
[5.8,5.85[5.82580.0952380.9047621.904762
[5.85,5.9[5.875000.9047620
[5.9,5.95[5.92510.0119050.9166670.238095
[5.95,6[5.97520.023810.9404760.47619
[6,6.05]6.02550.05952411.190476

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[4.65,4.7[ & 4.675 & 7 & 0.083333 & 0.083333 & 1.666667 \tabularnewline
[4.7,4.75[ & 4.725 & 1 & 0.011905 & 0.095238 & 0.238095 \tabularnewline
[4.75,4.8[ & 4.775 & 3 & 0.035714 & 0.130952 & 0.714286 \tabularnewline
[4.8,4.85[ & 4.825 & 3 & 0.035714 & 0.166667 & 0.714286 \tabularnewline
[4.85,4.9[ & 4.875 & 0 & 0 & 0.166667 & 0 \tabularnewline
[4.9,4.95[ & 4.925 & 0 & 0 & 0.166667 & 0 \tabularnewline
[4.95,5[ & 4.975 & 0 & 0 & 0.166667 & 0 \tabularnewline
[5,5.05[ & 5.025 & 0 & 0 & 0.166667 & 0 \tabularnewline
[5.05,5.1[ & 5.075 & 0 & 0 & 0.166667 & 0 \tabularnewline
[5.1,5.15[ & 5.125 & 0 & 0 & 0.166667 & 0 \tabularnewline
[5.15,5.2[ & 5.175 & 1 & 0.011905 & 0.178571 & 0.238095 \tabularnewline
[5.2,5.25[ & 5.225 & 0 & 0 & 0.178571 & 0 \tabularnewline
[5.25,5.3[ & 5.275 & 4 & 0.047619 & 0.22619 & 0.952381 \tabularnewline
[5.3,5.35[ & 5.325 & 8 & 0.095238 & 0.321429 & 1.904762 \tabularnewline
[5.35,5.4[ & 5.375 & 1 & 0.011905 & 0.333333 & 0.238095 \tabularnewline
[5.4,5.45[ & 5.425 & 1 & 0.011905 & 0.345238 & 0.238095 \tabularnewline
[5.45,5.5[ & 5.475 & 9 & 0.107143 & 0.452381 & 2.142857 \tabularnewline
[5.5,5.55[ & 5.525 & 1 & 0.011905 & 0.464286 & 0.238095 \tabularnewline
[5.55,5.6[ & 5.575 & 9 & 0.107143 & 0.571429 & 2.142857 \tabularnewline
[5.6,5.65[ & 5.625 & 4 & 0.047619 & 0.619048 & 0.952381 \tabularnewline
[5.65,5.7[ & 5.675 & 1 & 0.011905 & 0.630952 & 0.238095 \tabularnewline
[5.7,5.75[ & 5.725 & 12 & 0.142857 & 0.77381 & 2.857143 \tabularnewline
[5.75,5.8[ & 5.775 & 3 & 0.035714 & 0.809524 & 0.714286 \tabularnewline
[5.8,5.85[ & 5.825 & 8 & 0.095238 & 0.904762 & 1.904762 \tabularnewline
[5.85,5.9[ & 5.875 & 0 & 0 & 0.904762 & 0 \tabularnewline
[5.9,5.95[ & 5.925 & 1 & 0.011905 & 0.916667 & 0.238095 \tabularnewline
[5.95,6[ & 5.975 & 2 & 0.02381 & 0.940476 & 0.47619 \tabularnewline
[6,6.05] & 6.025 & 5 & 0.059524 & 1 & 1.190476 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212794&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][4.65,4.7[[/C][C]4.675[/C][C]7[/C][C]0.083333[/C][C]0.083333[/C][C]1.666667[/C][/ROW]
[ROW][C][4.7,4.75[[/C][C]4.725[/C][C]1[/C][C]0.011905[/C][C]0.095238[/C][C]0.238095[/C][/ROW]
[ROW][C][4.75,4.8[[/C][C]4.775[/C][C]3[/C][C]0.035714[/C][C]0.130952[/C][C]0.714286[/C][/ROW]
[ROW][C][4.8,4.85[[/C][C]4.825[/C][C]3[/C][C]0.035714[/C][C]0.166667[/C][C]0.714286[/C][/ROW]
[ROW][C][4.85,4.9[[/C][C]4.875[/C][C]0[/C][C]0[/C][C]0.166667[/C][C]0[/C][/ROW]
[ROW][C][4.9,4.95[[/C][C]4.925[/C][C]0[/C][C]0[/C][C]0.166667[/C][C]0[/C][/ROW]
[ROW][C][4.95,5[[/C][C]4.975[/C][C]0[/C][C]0[/C][C]0.166667[/C][C]0[/C][/ROW]
[ROW][C][5,5.05[[/C][C]5.025[/C][C]0[/C][C]0[/C][C]0.166667[/C][C]0[/C][/ROW]
[ROW][C][5.05,5.1[[/C][C]5.075[/C][C]0[/C][C]0[/C][C]0.166667[/C][C]0[/C][/ROW]
[ROW][C][5.1,5.15[[/C][C]5.125[/C][C]0[/C][C]0[/C][C]0.166667[/C][C]0[/C][/ROW]
[ROW][C][5.15,5.2[[/C][C]5.175[/C][C]1[/C][C]0.011905[/C][C]0.178571[/C][C]0.238095[/C][/ROW]
[ROW][C][5.2,5.25[[/C][C]5.225[/C][C]0[/C][C]0[/C][C]0.178571[/C][C]0[/C][/ROW]
[ROW][C][5.25,5.3[[/C][C]5.275[/C][C]4[/C][C]0.047619[/C][C]0.22619[/C][C]0.952381[/C][/ROW]
[ROW][C][5.3,5.35[[/C][C]5.325[/C][C]8[/C][C]0.095238[/C][C]0.321429[/C][C]1.904762[/C][/ROW]
[ROW][C][5.35,5.4[[/C][C]5.375[/C][C]1[/C][C]0.011905[/C][C]0.333333[/C][C]0.238095[/C][/ROW]
[ROW][C][5.4,5.45[[/C][C]5.425[/C][C]1[/C][C]0.011905[/C][C]0.345238[/C][C]0.238095[/C][/ROW]
[ROW][C][5.45,5.5[[/C][C]5.475[/C][C]9[/C][C]0.107143[/C][C]0.452381[/C][C]2.142857[/C][/ROW]
[ROW][C][5.5,5.55[[/C][C]5.525[/C][C]1[/C][C]0.011905[/C][C]0.464286[/C][C]0.238095[/C][/ROW]
[ROW][C][5.55,5.6[[/C][C]5.575[/C][C]9[/C][C]0.107143[/C][C]0.571429[/C][C]2.142857[/C][/ROW]
[ROW][C][5.6,5.65[[/C][C]5.625[/C][C]4[/C][C]0.047619[/C][C]0.619048[/C][C]0.952381[/C][/ROW]
[ROW][C][5.65,5.7[[/C][C]5.675[/C][C]1[/C][C]0.011905[/C][C]0.630952[/C][C]0.238095[/C][/ROW]
[ROW][C][5.7,5.75[[/C][C]5.725[/C][C]12[/C][C]0.142857[/C][C]0.77381[/C][C]2.857143[/C][/ROW]
[ROW][C][5.75,5.8[[/C][C]5.775[/C][C]3[/C][C]0.035714[/C][C]0.809524[/C][C]0.714286[/C][/ROW]
[ROW][C][5.8,5.85[[/C][C]5.825[/C][C]8[/C][C]0.095238[/C][C]0.904762[/C][C]1.904762[/C][/ROW]
[ROW][C][5.85,5.9[[/C][C]5.875[/C][C]0[/C][C]0[/C][C]0.904762[/C][C]0[/C][/ROW]
[ROW][C][5.9,5.95[[/C][C]5.925[/C][C]1[/C][C]0.011905[/C][C]0.916667[/C][C]0.238095[/C][/ROW]
[ROW][C][5.95,6[[/C][C]5.975[/C][C]2[/C][C]0.02381[/C][C]0.940476[/C][C]0.47619[/C][/ROW]
[ROW][C][6,6.05][/C][C]6.025[/C][C]5[/C][C]0.059524[/C][C]1[/C][C]1.190476[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=212794&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212794&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
[4.65,4.7[4.67570.0833330.0833331.666667
[4.7,4.75[4.72510.0119050.0952380.238095
[4.75,4.8[4.77530.0357140.1309520.714286
[4.8,4.85[4.82530.0357140.1666670.714286
[4.85,4.9[4.875000.1666670
[4.9,4.95[4.925000.1666670
[4.95,5[4.975000.1666670
[5,5.05[5.025000.1666670
[5.05,5.1[5.075000.1666670
[5.1,5.15[5.125000.1666670
[5.15,5.2[5.17510.0119050.1785710.238095
[5.2,5.25[5.225000.1785710
[5.25,5.3[5.27540.0476190.226190.952381
[5.3,5.35[5.32580.0952380.3214291.904762
[5.35,5.4[5.37510.0119050.3333330.238095
[5.4,5.45[5.42510.0119050.3452380.238095
[5.45,5.5[5.47590.1071430.4523812.142857
[5.5,5.55[5.52510.0119050.4642860.238095
[5.55,5.6[5.57590.1071430.5714292.142857
[5.6,5.65[5.62540.0476190.6190480.952381
[5.65,5.7[5.67510.0119050.6309520.238095
[5.7,5.75[5.725120.1428570.773812.857143
[5.75,5.8[5.77530.0357140.8095240.714286
[5.8,5.85[5.82580.0952380.9047621.904762
[5.85,5.9[5.875000.9047620
[5.9,5.95[5.92510.0119050.9166670.238095
[5.95,6[5.97520.023810.9404760.47619
[6,6.05]6.02550.05952411.190476



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 <- '8'
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')
}