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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 computationSun, 14 Dec 2014 12:30:38 +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/2014/Dec/14/t1418560259tc2qw3era4mae5n.htm/, Retrieved Thu, 16 May 2024 20:55:21 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=267507, Retrieved Thu, 16 May 2024 20:55:21 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact92
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [paper18] [2014-12-14 12:30:38] [0015a2406d94cac8c1a56a29b9122359] [Current]
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Dataseries X:
11
15
19
16
24
15
17
19
19
28
26
15
26
16
24
25
15
21
27
26
26
22
21
22
20
22
21
8
22
18
20
24
17
20
23
22
19
15
20
22
17
24
17
25
18
24
23
20
22
22
15
17
19
22
21
21
20
21
15
18
22
16
24
19
20
6
15
18
21
23
20
20
18
25
16
20
14
22
20
17
22
22
20
17
22
17
22
21
25
19
24
17
22
22
17
26
19
20
19
21
24
21
19
13
27
22
21
22
22
21
19
11
19
21
19
8
23
17
25
24
22
23
17
24
22
21
19
19
16
23
23
20
24
25
20
23
21
23
11
27
22
16
18
23
24
20
20
14
23
16
21
19
27
13
17
18
20
22
18
6
22
15
17
10
21
23
18
20
27
13
20
20
22
20
24
23
19
22
24
21
19
20
16
17
25
16
23
20
23
22
15
16
23
25
14
18
15
27
22
26
25
19
19
24
19
25
20
17
13
20
20
24
25
20
20
20
11
23
19
26
26
20
23
19
23
27
16
26
26
20
12
20
18
28
24
24
24
12
23
16
18
25
18
7
19
17
20
19
10
25
23
23
23
20
24
17
21
22
14
19
21
24
11
21
22
22
19
15
20
22
20
18
20
21




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'George Udny Yule' @ yule.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 & 0 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267507&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267507&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267507&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'George Udny Yule' @ yule.wessa.net







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[6,8[730.0109490.0109490.005474
[8,10[920.0072990.0182480.00365
[10,12[1170.0255470.0437960.012774
[12,14[1360.0218980.0656930.010949
[14,16[15160.0583940.1240880.029197
[16,18[17300.1094890.2335770.054745
[18,20[19410.1496350.3832120.074818
[20,22[21600.2189780.602190.109489
[22,24[23560.204380.8065690.10219
[24,26[25340.1240880.9306570.062044
[26,28]27190.06934310.034672

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[6,8[ & 7 & 3 & 0.010949 & 0.010949 & 0.005474 \tabularnewline
[8,10[ & 9 & 2 & 0.007299 & 0.018248 & 0.00365 \tabularnewline
[10,12[ & 11 & 7 & 0.025547 & 0.043796 & 0.012774 \tabularnewline
[12,14[ & 13 & 6 & 0.021898 & 0.065693 & 0.010949 \tabularnewline
[14,16[ & 15 & 16 & 0.058394 & 0.124088 & 0.029197 \tabularnewline
[16,18[ & 17 & 30 & 0.109489 & 0.233577 & 0.054745 \tabularnewline
[18,20[ & 19 & 41 & 0.149635 & 0.383212 & 0.074818 \tabularnewline
[20,22[ & 21 & 60 & 0.218978 & 0.60219 & 0.109489 \tabularnewline
[22,24[ & 23 & 56 & 0.20438 & 0.806569 & 0.10219 \tabularnewline
[24,26[ & 25 & 34 & 0.124088 & 0.930657 & 0.062044 \tabularnewline
[26,28] & 27 & 19 & 0.069343 & 1 & 0.034672 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267507&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][6,8[[/C][C]7[/C][C]3[/C][C]0.010949[/C][C]0.010949[/C][C]0.005474[/C][/ROW]
[ROW][C][8,10[[/C][C]9[/C][C]2[/C][C]0.007299[/C][C]0.018248[/C][C]0.00365[/C][/ROW]
[ROW][C][10,12[[/C][C]11[/C][C]7[/C][C]0.025547[/C][C]0.043796[/C][C]0.012774[/C][/ROW]
[ROW][C][12,14[[/C][C]13[/C][C]6[/C][C]0.021898[/C][C]0.065693[/C][C]0.010949[/C][/ROW]
[ROW][C][14,16[[/C][C]15[/C][C]16[/C][C]0.058394[/C][C]0.124088[/C][C]0.029197[/C][/ROW]
[ROW][C][16,18[[/C][C]17[/C][C]30[/C][C]0.109489[/C][C]0.233577[/C][C]0.054745[/C][/ROW]
[ROW][C][18,20[[/C][C]19[/C][C]41[/C][C]0.149635[/C][C]0.383212[/C][C]0.074818[/C][/ROW]
[ROW][C][20,22[[/C][C]21[/C][C]60[/C][C]0.218978[/C][C]0.60219[/C][C]0.109489[/C][/ROW]
[ROW][C][22,24[[/C][C]23[/C][C]56[/C][C]0.20438[/C][C]0.806569[/C][C]0.10219[/C][/ROW]
[ROW][C][24,26[[/C][C]25[/C][C]34[/C][C]0.124088[/C][C]0.930657[/C][C]0.062044[/C][/ROW]
[ROW][C][26,28][/C][C]27[/C][C]19[/C][C]0.069343[/C][C]1[/C][C]0.034672[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267507&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267507&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
[6,8[730.0109490.0109490.005474
[8,10[920.0072990.0182480.00365
[10,12[1170.0255470.0437960.012774
[12,14[1360.0218980.0656930.010949
[14,16[15160.0583940.1240880.029197
[16,18[17300.1094890.2335770.054745
[18,20[19410.1496350.3832120.074818
[20,22[21600.2189780.602190.109489
[22,24[23560.204380.8065690.10219
[24,26[25340.1240880.9306570.062044
[26,28]27190.06934310.034672



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):
par4 <- 'Unknown'
par3 <- 'FALSE'
par2 <- 'grey'
par1 <- ''
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')
}