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Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationSun, 22 Dec 2013 07:44:51 -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/2013/Dec/22/t13877163967nc3kkr41mxt81c.htm/, Retrieved Sun, 05 Dec 2021 18:31:18 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=232510, Retrieved Sun, 05 Dec 2021 18:31:18 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact82
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [] [2013-12-22 12:44:51] [818da16b08b21220aa14002c9e16e6e1] [Current]
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Dataseries X:
85,73
85,73
85,74
86,32
87,59
87,81
87,87
87,94
87,96
88,01
88,01
88,01
88,01
88,01
88,59
89,43
89,63
89,73
89,88
89,89
89,9
89,91
89,86
90,07
90,17
90,17
90,28
90,87
92,05
92,1
92,16
92,22
92,25
92,29
92,29
92,29
92,29
92,29
91,95
91,82
92,16
92,31
92,33
92,4
92,54
92,49
92,54
92,58
92,58
92,39
92,33
93,59
95,51
95,99
96,22
97,2
98,54
99,64
100,23
100,17




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232510&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232510&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232510&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'Gertrude Mary Cox' @ cox.wessa.net







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[84,86[8530.050.050.025
[86,88[8760.10.150.05
[88,90[89140.2333330.3833330.116667
[90,92[9170.1166670.50.058333
[92,94[93220.3666670.8666670.183333
[94,96[9520.0333330.90.016667
[96,98[9720.0333330.9333330.016667
[98,100[9920.0333330.9666670.016667
[100,102]10120.03333310.016667

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[84,86[ & 85 & 3 & 0.05 & 0.05 & 0.025 \tabularnewline
[86,88[ & 87 & 6 & 0.1 & 0.15 & 0.05 \tabularnewline
[88,90[ & 89 & 14 & 0.233333 & 0.383333 & 0.116667 \tabularnewline
[90,92[ & 91 & 7 & 0.116667 & 0.5 & 0.058333 \tabularnewline
[92,94[ & 93 & 22 & 0.366667 & 0.866667 & 0.183333 \tabularnewline
[94,96[ & 95 & 2 & 0.033333 & 0.9 & 0.016667 \tabularnewline
[96,98[ & 97 & 2 & 0.033333 & 0.933333 & 0.016667 \tabularnewline
[98,100[ & 99 & 2 & 0.033333 & 0.966667 & 0.016667 \tabularnewline
[100,102] & 101 & 2 & 0.033333 & 1 & 0.016667 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232510&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][84,86[[/C][C]85[/C][C]3[/C][C]0.05[/C][C]0.05[/C][C]0.025[/C][/ROW]
[ROW][C][86,88[[/C][C]87[/C][C]6[/C][C]0.1[/C][C]0.15[/C][C]0.05[/C][/ROW]
[ROW][C][88,90[[/C][C]89[/C][C]14[/C][C]0.233333[/C][C]0.383333[/C][C]0.116667[/C][/ROW]
[ROW][C][90,92[[/C][C]91[/C][C]7[/C][C]0.116667[/C][C]0.5[/C][C]0.058333[/C][/ROW]
[ROW][C][92,94[[/C][C]93[/C][C]22[/C][C]0.366667[/C][C]0.866667[/C][C]0.183333[/C][/ROW]
[ROW][C][94,96[[/C][C]95[/C][C]2[/C][C]0.033333[/C][C]0.9[/C][C]0.016667[/C][/ROW]
[ROW][C][96,98[[/C][C]97[/C][C]2[/C][C]0.033333[/C][C]0.933333[/C][C]0.016667[/C][/ROW]
[ROW][C][98,100[[/C][C]99[/C][C]2[/C][C]0.033333[/C][C]0.966667[/C][C]0.016667[/C][/ROW]
[ROW][C][100,102][/C][C]101[/C][C]2[/C][C]0.033333[/C][C]1[/C][C]0.016667[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232510&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232510&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
[84,86[8530.050.050.025
[86,88[8760.10.150.05
[88,90[89140.2333330.3833330.116667
[90,92[9170.1166670.50.058333
[92,94[93220.3666670.8666670.183333
[94,96[9520.0333330.90.016667
[96,98[9720.0333330.9333330.016667
[98,100[9920.0333330.9666670.016667
[100,102]10120.03333310.016667



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')
}