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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationMon, 19 Oct 2009 03:10:44 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Oct/19/t1255943478givny03nya7bnyf.htm/, Retrieved Mon, 29 Apr 2024 23:15:05 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=47625, Retrieved Mon, 29 Apr 2024 23:15:05 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact114
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [workshop 3] [2009-10-19 09:10:44] [e81f30a5c3daacfe71a556c99a478849] [Current]
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Dataseries X:
5.10
5.21
5.31
5.34
5.44
5.47
5.60
5.68
5.76
6.03
6.14
6.54
6.50
6.43
6.93
6.77
6.58
6.55
6.41
6.28
6.18
6.35
6.17
6.04
5.68
5.43
5.43
5.38
5.28
5.33
5.35
5.31
5.24
5.12
5.04
5.03
4.98
4.98
5.09
5.12
5.07
5.05
5.05
5.05
5.03
5.11
5.19
5.14
4.97
4.94
4.93
4.92
4.90
4.90
4.82
4.81
4.72
4.54
4.51
4.30
4.08
4.05
4.03
3.85
3.80
3.91
3.99
4.08
5.15
4.78
4.79
4.79
4.69
4.82
4.98
5.12
5.55
5.65
5.66
5.74
5.76
5.91
5.92
5.74
5.25
5.06
4.84
4.66
4.38
4.14
4.11
3.96
3.51
3.00
2.75
2.63
2.58
2.63
2.69
2.69
2.69
2.67
2.63
2.57
2.56
2.52
2.29
2.18
2.10
2.02
1.91
1.92
1.85
1.64
1.62
1.64
1.65
1.65
1.67
1.66
1.61
1.59
1.57
1.60
1.67
1.81
1.88
1.92
2.01
2.12
2.24
2.34
2.41
2.48
2.59
2.65
2.70
2.77
2.87
2.97
3.03
3.19
3.36
3.48
3.56
3.68
3.82
3.93
4.04
4.19
4.30
4.33
4.36
4.44
4.49
4.52




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=47625&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=47625&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=47625&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'RServer@AstonUniversity' @ vre.aston.ac.uk







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[1.5,2[1.75180.1153850.1153850.230769
[2,2.5[2.25100.0641030.1794870.128205
[2.5,3[2.75180.1153850.2948720.230769
[3,3.5[3.2550.0320510.3269230.064103
[3.5,4[3.75100.0641030.3910260.128205
[4,4.5[4.25150.0961540.4871790.192308
[4.5,5[4.75220.1410260.6282050.282051
[5,5.5[5.25310.1987180.8269230.397436
[5.5,6[5.75120.0769230.9038460.153846
[6,6.5[6.2590.0576920.9615380.115385
[6.5,7]6.7560.03846210.076923

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[1.5,2[ & 1.75 & 18 & 0.115385 & 0.115385 & 0.230769 \tabularnewline
[2,2.5[ & 2.25 & 10 & 0.064103 & 0.179487 & 0.128205 \tabularnewline
[2.5,3[ & 2.75 & 18 & 0.115385 & 0.294872 & 0.230769 \tabularnewline
[3,3.5[ & 3.25 & 5 & 0.032051 & 0.326923 & 0.064103 \tabularnewline
[3.5,4[ & 3.75 & 10 & 0.064103 & 0.391026 & 0.128205 \tabularnewline
[4,4.5[ & 4.25 & 15 & 0.096154 & 0.487179 & 0.192308 \tabularnewline
[4.5,5[ & 4.75 & 22 & 0.141026 & 0.628205 & 0.282051 \tabularnewline
[5,5.5[ & 5.25 & 31 & 0.198718 & 0.826923 & 0.397436 \tabularnewline
[5.5,6[ & 5.75 & 12 & 0.076923 & 0.903846 & 0.153846 \tabularnewline
[6,6.5[ & 6.25 & 9 & 0.057692 & 0.961538 & 0.115385 \tabularnewline
[6.5,7] & 6.75 & 6 & 0.038462 & 1 & 0.076923 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=47625&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][1.5,2[[/C][C]1.75[/C][C]18[/C][C]0.115385[/C][C]0.115385[/C][C]0.230769[/C][/ROW]
[ROW][C][2,2.5[[/C][C]2.25[/C][C]10[/C][C]0.064103[/C][C]0.179487[/C][C]0.128205[/C][/ROW]
[ROW][C][2.5,3[[/C][C]2.75[/C][C]18[/C][C]0.115385[/C][C]0.294872[/C][C]0.230769[/C][/ROW]
[ROW][C][3,3.5[[/C][C]3.25[/C][C]5[/C][C]0.032051[/C][C]0.326923[/C][C]0.064103[/C][/ROW]
[ROW][C][3.5,4[[/C][C]3.75[/C][C]10[/C][C]0.064103[/C][C]0.391026[/C][C]0.128205[/C][/ROW]
[ROW][C][4,4.5[[/C][C]4.25[/C][C]15[/C][C]0.096154[/C][C]0.487179[/C][C]0.192308[/C][/ROW]
[ROW][C][4.5,5[[/C][C]4.75[/C][C]22[/C][C]0.141026[/C][C]0.628205[/C][C]0.282051[/C][/ROW]
[ROW][C][5,5.5[[/C][C]5.25[/C][C]31[/C][C]0.198718[/C][C]0.826923[/C][C]0.397436[/C][/ROW]
[ROW][C][5.5,6[[/C][C]5.75[/C][C]12[/C][C]0.076923[/C][C]0.903846[/C][C]0.153846[/C][/ROW]
[ROW][C][6,6.5[[/C][C]6.25[/C][C]9[/C][C]0.057692[/C][C]0.961538[/C][C]0.115385[/C][/ROW]
[ROW][C][6.5,7][/C][C]6.75[/C][C]6[/C][C]0.038462[/C][C]1[/C][C]0.076923[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=47625&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=47625&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
[1.5,2[1.75180.1153850.1153850.230769
[2,2.5[2.25100.0641030.1794870.128205
[2.5,3[2.75180.1153850.2948720.230769
[3,3.5[3.2550.0320510.3269230.064103
[3.5,4[3.75100.0641030.3910260.128205
[4,4.5[4.25150.0961540.4871790.192308
[4.5,5[4.75220.1410260.6282050.282051
[5,5.5[5.25310.1987180.8269230.397436
[5.5,6[5.75120.0769230.9038460.153846
[6,6.5[6.2590.0576920.9615380.115385
[6.5,7]6.7560.03846210.076923



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.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)
}
dev.off()
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')