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Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationSat, 01 Feb 2014 11:58:00 -0500
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/Feb/01/t13912740377xcl22rl70i2pa8.htm/, Retrieved Thu, 31 Oct 2024 23:09:42 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=233192, Retrieved Thu, 31 Oct 2024 23:09:42 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact192
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [] [2014-02-01 16:58:00] [5f7d0cda5d8a9348873c82369b6851b6] [Current]
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Dataseries X:
28.33
28.67
28.81
28.99
29.16
29.25
29.25
29.38
29.48
29.65
29.69
29.73
29.81
30.05
30.29
30.37
30.5
30.67
30.76
30.84
30.86
31.09
31.2
31.19
31.18
31.31
31.39
31.39
31.37
31.36
31.37
31.35
31.34
31.47
31.48
31.54
31.55
31.55
31.57
31.66
31.74
31.78
31.8
31.68
31.7
31.7
31.75
31.73
31.82
31.9
31.82
31.51
31.42
30.97
30.99
30.92
30.95
30.82
30.72
30.73




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=233192&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=233192&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233192&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'Sir Maurice George Kendall' @ kendall.wessa.net







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[28,28.5[28.2510.0166670.0166670.033333
[28.5,29[28.7530.050.0666670.1
[29,29.5[29.2550.0833330.150.166667
[29.5,30[29.7540.0666670.2166670.133333
[30,30.5[30.2530.050.2666670.1
[30.5,31[30.75120.20.4666670.4
[31,31.5[31.25150.250.7166670.5
[31.5,32]31.75170.28333310.566667

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[28,28.5[ & 28.25 & 1 & 0.016667 & 0.016667 & 0.033333 \tabularnewline
[28.5,29[ & 28.75 & 3 & 0.05 & 0.066667 & 0.1 \tabularnewline
[29,29.5[ & 29.25 & 5 & 0.083333 & 0.15 & 0.166667 \tabularnewline
[29.5,30[ & 29.75 & 4 & 0.066667 & 0.216667 & 0.133333 \tabularnewline
[30,30.5[ & 30.25 & 3 & 0.05 & 0.266667 & 0.1 \tabularnewline
[30.5,31[ & 30.75 & 12 & 0.2 & 0.466667 & 0.4 \tabularnewline
[31,31.5[ & 31.25 & 15 & 0.25 & 0.716667 & 0.5 \tabularnewline
[31.5,32] & 31.75 & 17 & 0.283333 & 1 & 0.566667 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=233192&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][28,28.5[[/C][C]28.25[/C][C]1[/C][C]0.016667[/C][C]0.016667[/C][C]0.033333[/C][/ROW]
[ROW][C][28.5,29[[/C][C]28.75[/C][C]3[/C][C]0.05[/C][C]0.066667[/C][C]0.1[/C][/ROW]
[ROW][C][29,29.5[[/C][C]29.25[/C][C]5[/C][C]0.083333[/C][C]0.15[/C][C]0.166667[/C][/ROW]
[ROW][C][29.5,30[[/C][C]29.75[/C][C]4[/C][C]0.066667[/C][C]0.216667[/C][C]0.133333[/C][/ROW]
[ROW][C][30,30.5[[/C][C]30.25[/C][C]3[/C][C]0.05[/C][C]0.266667[/C][C]0.1[/C][/ROW]
[ROW][C][30.5,31[[/C][C]30.75[/C][C]12[/C][C]0.2[/C][C]0.466667[/C][C]0.4[/C][/ROW]
[ROW][C][31,31.5[[/C][C]31.25[/C][C]15[/C][C]0.25[/C][C]0.716667[/C][C]0.5[/C][/ROW]
[ROW][C][31.5,32][/C][C]31.75[/C][C]17[/C][C]0.283333[/C][C]1[/C][C]0.566667[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=233192&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233192&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
[28,28.5[28.2510.0166670.0166670.033333
[28.5,29[28.7530.050.0666670.1
[29,29.5[29.2550.0833330.150.166667
[29.5,30[29.7540.0666670.2166670.133333
[30,30.5[30.2530.050.2666670.1
[30.5,31[30.75120.20.4666670.4
[31,31.5[31.25150.250.7166670.5
[31.5,32]31.75170.28333310.566667



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')
}