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Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationMon, 14 Oct 2013 07:45:26 -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/14/t1381751261iww47sza4bke7l2.htm/, Retrieved Sun, 28 Apr 2024 13:20:42 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=215494, Retrieved Sun, 28 Apr 2024 13:20:42 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact74
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [] [2013-10-14 11:45:26] [c3373c0d5a698012d591c0e2feefe9b5] [Current]
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Dataseries X:
2,57
2,58
2,58
2,58
2,57
2,57
2,57
2,57
2,59
2,62
2,66
2,67
2,67
2,69
2,69
2,69
2,69
2,71
2,71
2,71
2,74
2,77
2,82
2,82
2,82
2,8
2,82
2,82
2,82
2,82
2,82
2,82
2,85
2,93
2,94
2,94
2,95
2,95
2,96
2,96
2,97
2,97
2,97
2,97
2,98
3,03
3,03
3,03
3,03
3,04
3,05
3,06
3,06
3,07
3,07
3,07
3,04
3,06
3,09
3,09
3,09
3,09
3,1
3,1
3,1
3,1
3,1
3,11
3,11
3,17
3,19
3,19
3,19
3,19
3,19
3,19
3,19
3,19
3,19
3,19
3,25
3,23
3,24
3,24




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=215494&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=215494&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=215494&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
[2.5,2.6[2.5590.1071430.1071431.071429
[2.6,2.7[2.6580.0952380.2023810.952381
[2.7,2.8[2.7550.0595240.2619050.595238
[2.8,2.9[2.85110.1309520.3928571.309524
[2.9,3[2.95120.1428570.5357141.428571
[3,3.1[3.05170.2023810.7380952.02381
[3.1,3.2[3.15180.2142860.9523812.142857
[3.2,3.3]3.2540.04761910.47619

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[2.5,2.6[ & 2.55 & 9 & 0.107143 & 0.107143 & 1.071429 \tabularnewline
[2.6,2.7[ & 2.65 & 8 & 0.095238 & 0.202381 & 0.952381 \tabularnewline
[2.7,2.8[ & 2.75 & 5 & 0.059524 & 0.261905 & 0.595238 \tabularnewline
[2.8,2.9[ & 2.85 & 11 & 0.130952 & 0.392857 & 1.309524 \tabularnewline
[2.9,3[ & 2.95 & 12 & 0.142857 & 0.535714 & 1.428571 \tabularnewline
[3,3.1[ & 3.05 & 17 & 0.202381 & 0.738095 & 2.02381 \tabularnewline
[3.1,3.2[ & 3.15 & 18 & 0.214286 & 0.952381 & 2.142857 \tabularnewline
[3.2,3.3] & 3.25 & 4 & 0.047619 & 1 & 0.47619 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=215494&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][2.5,2.6[[/C][C]2.55[/C][C]9[/C][C]0.107143[/C][C]0.107143[/C][C]1.071429[/C][/ROW]
[ROW][C][2.6,2.7[[/C][C]2.65[/C][C]8[/C][C]0.095238[/C][C]0.202381[/C][C]0.952381[/C][/ROW]
[ROW][C][2.7,2.8[[/C][C]2.75[/C][C]5[/C][C]0.059524[/C][C]0.261905[/C][C]0.595238[/C][/ROW]
[ROW][C][2.8,2.9[[/C][C]2.85[/C][C]11[/C][C]0.130952[/C][C]0.392857[/C][C]1.309524[/C][/ROW]
[ROW][C][2.9,3[[/C][C]2.95[/C][C]12[/C][C]0.142857[/C][C]0.535714[/C][C]1.428571[/C][/ROW]
[ROW][C][3,3.1[[/C][C]3.05[/C][C]17[/C][C]0.202381[/C][C]0.738095[/C][C]2.02381[/C][/ROW]
[ROW][C][3.1,3.2[[/C][C]3.15[/C][C]18[/C][C]0.214286[/C][C]0.952381[/C][C]2.142857[/C][/ROW]
[ROW][C][3.2,3.3][/C][C]3.25[/C][C]4[/C][C]0.047619[/C][C]1[/C][C]0.47619[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=215494&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=215494&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
[2.5,2.6[2.5590.1071430.1071431.071429
[2.6,2.7[2.6580.0952380.2023810.952381
[2.7,2.8[2.7550.0595240.2619050.595238
[2.8,2.9[2.85110.1309520.3928571.309524
[2.9,3[2.95120.1428570.5357141.428571
[3,3.1[3.05170.2023810.7380952.02381
[3.1,3.2[3.15180.2142860.9523812.142857
[3.2,3.3]3.2540.04761910.47619



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