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Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationThu, 10 Feb 2011 18:26:30 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Feb/10/t1297362293kv5r6qyhljpvqkz.htm/, Retrieved Sun, 19 May 2024 23:59:43 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=118162, Retrieved Sun, 19 May 2024 23:59:43 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact256
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [] [2011-02-10 18:26:30] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
5.81
5.76
5.99
6.12
6.03
6.25
5.80
5.67
5.89
5.91
5.86
6.07
6.27
6.68
6.77
6.71
6.62
6.50
5.89
6.05
6.43
6.47
6.62
6.77
6.70
6.95
6.73
7.07
7.28
7.32
6.76
6.93
6.99
7.16
7.28
7.08
7.34
7.87
6.28
6.30
6.36
6.28
5.89
6.04
5.96
6.10
6.26
6.02
6.25
6.41
6.22
6.57
6.18
6.26
6.10
6.02
6.06
6.35
6.21
6.48
6.74
6.53
6.80
6.75
6.56
6.66
6.18
6.40
6.43
6.54
6.44
6.64
6.82
6.97
7.00
6.91
6.74
6.98
6.37
6.56
6.63
6.87
6.68
6.75
6.84
7.15
7.09
6.97
7.15




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'Herman Ole Andreas Wold' @ www.yougetit.org

\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 & 0 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ www.yougetit.org \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=118162&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]0 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ www.yougetit.org[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=118162&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=118162&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 time0 seconds
R Server'Herman Ole Andreas Wold' @ www.yougetit.org







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[5.6,5.8]5.730.0337080.0337080.168539
]5.8,6]5.980.0898880.1235960.449438
]6,6.2]6.1120.1348310.2584270.674157
]6.2,6.4]6.3140.1573030.415730.786517
]6.4,6.6]6.5120.1348310.5505620.674157
]6.6,6.8]6.7180.2022470.7528091.011236
]6.8,7]6.9110.1235960.8764040.617978
]7,7.2]7.160.0674160.943820.337079
]7.2,7.4]7.340.0449440.9887640.224719
]7.4,7.6]7.5000.9887640
]7.6,7.8]7.7000.9887640
]7.8,8]7.910.01123610.05618

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[5.6,5.8] & 5.7 & 3 & 0.033708 & 0.033708 & 0.168539 \tabularnewline
]5.8,6] & 5.9 & 8 & 0.089888 & 0.123596 & 0.449438 \tabularnewline
]6,6.2] & 6.1 & 12 & 0.134831 & 0.258427 & 0.674157 \tabularnewline
]6.2,6.4] & 6.3 & 14 & 0.157303 & 0.41573 & 0.786517 \tabularnewline
]6.4,6.6] & 6.5 & 12 & 0.134831 & 0.550562 & 0.674157 \tabularnewline
]6.6,6.8] & 6.7 & 18 & 0.202247 & 0.752809 & 1.011236 \tabularnewline
]6.8,7] & 6.9 & 11 & 0.123596 & 0.876404 & 0.617978 \tabularnewline
]7,7.2] & 7.1 & 6 & 0.067416 & 0.94382 & 0.337079 \tabularnewline
]7.2,7.4] & 7.3 & 4 & 0.044944 & 0.988764 & 0.224719 \tabularnewline
]7.4,7.6] & 7.5 & 0 & 0 & 0.988764 & 0 \tabularnewline
]7.6,7.8] & 7.7 & 0 & 0 & 0.988764 & 0 \tabularnewline
]7.8,8] & 7.9 & 1 & 0.011236 & 1 & 0.05618 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=118162&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][5.6,5.8][/C][C]5.7[/C][C]3[/C][C]0.033708[/C][C]0.033708[/C][C]0.168539[/C][/ROW]
[ROW][C]]5.8,6][/C][C]5.9[/C][C]8[/C][C]0.089888[/C][C]0.123596[/C][C]0.449438[/C][/ROW]
[ROW][C]]6,6.2][/C][C]6.1[/C][C]12[/C][C]0.134831[/C][C]0.258427[/C][C]0.674157[/C][/ROW]
[ROW][C]]6.2,6.4][/C][C]6.3[/C][C]14[/C][C]0.157303[/C][C]0.41573[/C][C]0.786517[/C][/ROW]
[ROW][C]]6.4,6.6][/C][C]6.5[/C][C]12[/C][C]0.134831[/C][C]0.550562[/C][C]0.674157[/C][/ROW]
[ROW][C]]6.6,6.8][/C][C]6.7[/C][C]18[/C][C]0.202247[/C][C]0.752809[/C][C]1.011236[/C][/ROW]
[ROW][C]]6.8,7][/C][C]6.9[/C][C]11[/C][C]0.123596[/C][C]0.876404[/C][C]0.617978[/C][/ROW]
[ROW][C]]7,7.2][/C][C]7.1[/C][C]6[/C][C]0.067416[/C][C]0.94382[/C][C]0.337079[/C][/ROW]
[ROW][C]]7.2,7.4][/C][C]7.3[/C][C]4[/C][C]0.044944[/C][C]0.988764[/C][C]0.224719[/C][/ROW]
[ROW][C]]7.4,7.6][/C][C]7.5[/C][C]0[/C][C]0[/C][C]0.988764[/C][C]0[/C][/ROW]
[ROW][C]]7.6,7.8][/C][C]7.7[/C][C]0[/C][C]0[/C][C]0.988764[/C][C]0[/C][/ROW]
[ROW][C]]7.8,8][/C][C]7.9[/C][C]1[/C][C]0.011236[/C][C]1[/C][C]0.05618[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=118162&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=118162&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
[5.6,5.8]5.730.0337080.0337080.168539
]5.8,6]5.980.0898880.1235960.449438
]6,6.2]6.1120.1348310.2584270.674157
]6.2,6.4]6.3140.1573030.415730.786517
]6.4,6.6]6.5120.1348310.5505620.674157
]6.6,6.8]6.7180.2022470.7528091.011236
]6.8,7]6.9110.1235960.8764040.617978
]7,7.2]7.160.0674160.943820.337079
]7.2,7.4]7.340.0449440.9887640.224719
]7.4,7.6]7.5000.9887640
]7.6,7.8]7.7000.9887640
]7.8,8]7.910.01123610.05618



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