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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 computationWed, 30 Nov 2011 08:15:20 -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/2011/Nov/30/t1322658928bihmaozywvlb6ka.htm/, Retrieved Fri, 29 Mar 2024 05:51:55 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=148925, Retrieved Fri, 29 Mar 2024 05:51:55 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact80
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [] [2011-11-30 13:15:20] [05d3841c0e91f0207133db830e88168b] [Current]
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Dataseries X:
21
15
18
11
8
19
4
20
16
14
10
13
14
8
23
11
9
24
5
15
5
19
6
13
11
17
17
5
9
15
17
17
20
12
7
16
7
14
24
15
15
10
14
18
12
9
9
8
18
10
17
14
16
10
19
10
14
10
4
19
9
12
16
11
18
11
24
17
18
9
19
18
12
23
22
14
14
16
23
7
10
12
12
12
17
21
16
11
14
13
9
19
13
19
13
13
13
14
12
22
11
5
18
19
14
15
12
19
15
17
8
10
12
12
20
12
12
14
6
10
18
18
7
18
9
17
22
11
15
17
15
22
9
13
20
14
14
12
20
20
8
17
9
18
22
10
13
15
18
18
12
12
20
12
16
16
18
16
13
17
13
17




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=148925&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=148925&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=148925&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'Gertrude Mary Cox' @ cox.wessa.net







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[4,6[560.0370370.0370370.018519
[6,8[760.0370370.0740740.018519
[8,10[9150.0925930.1666670.046296
[10,12[11180.1111110.2777780.055556
[12,14[13280.172840.4506170.08642
[14,16[15240.1481480.5987650.074074
[16,18[17220.1358020.7345680.067901
[18,20[19230.1419750.8765430.070988
[20,22[2190.0555560.9320990.027778
[22,24]23110.06790110.033951

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[4,6[ & 5 & 6 & 0.037037 & 0.037037 & 0.018519 \tabularnewline
[6,8[ & 7 & 6 & 0.037037 & 0.074074 & 0.018519 \tabularnewline
[8,10[ & 9 & 15 & 0.092593 & 0.166667 & 0.046296 \tabularnewline
[10,12[ & 11 & 18 & 0.111111 & 0.277778 & 0.055556 \tabularnewline
[12,14[ & 13 & 28 & 0.17284 & 0.450617 & 0.08642 \tabularnewline
[14,16[ & 15 & 24 & 0.148148 & 0.598765 & 0.074074 \tabularnewline
[16,18[ & 17 & 22 & 0.135802 & 0.734568 & 0.067901 \tabularnewline
[18,20[ & 19 & 23 & 0.141975 & 0.876543 & 0.070988 \tabularnewline
[20,22[ & 21 & 9 & 0.055556 & 0.932099 & 0.027778 \tabularnewline
[22,24] & 23 & 11 & 0.067901 & 1 & 0.033951 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=148925&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][4,6[[/C][C]5[/C][C]6[/C][C]0.037037[/C][C]0.037037[/C][C]0.018519[/C][/ROW]
[ROW][C][6,8[[/C][C]7[/C][C]6[/C][C]0.037037[/C][C]0.074074[/C][C]0.018519[/C][/ROW]
[ROW][C][8,10[[/C][C]9[/C][C]15[/C][C]0.092593[/C][C]0.166667[/C][C]0.046296[/C][/ROW]
[ROW][C][10,12[[/C][C]11[/C][C]18[/C][C]0.111111[/C][C]0.277778[/C][C]0.055556[/C][/ROW]
[ROW][C][12,14[[/C][C]13[/C][C]28[/C][C]0.17284[/C][C]0.450617[/C][C]0.08642[/C][/ROW]
[ROW][C][14,16[[/C][C]15[/C][C]24[/C][C]0.148148[/C][C]0.598765[/C][C]0.074074[/C][/ROW]
[ROW][C][16,18[[/C][C]17[/C][C]22[/C][C]0.135802[/C][C]0.734568[/C][C]0.067901[/C][/ROW]
[ROW][C][18,20[[/C][C]19[/C][C]23[/C][C]0.141975[/C][C]0.876543[/C][C]0.070988[/C][/ROW]
[ROW][C][20,22[[/C][C]21[/C][C]9[/C][C]0.055556[/C][C]0.932099[/C][C]0.027778[/C][/ROW]
[ROW][C][22,24][/C][C]23[/C][C]11[/C][C]0.067901[/C][C]1[/C][C]0.033951[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=148925&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=148925&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
[4,6[560.0370370.0370370.018519
[6,8[760.0370370.0740740.018519
[8,10[9150.0925930.1666670.046296
[10,12[11180.1111110.2777780.055556
[12,14[13280.172840.4506170.08642
[14,16[15240.1481480.5987650.074074
[16,18[17220.1358020.7345680.067901
[18,20[19230.1419750.8765430.070988
[20,22[2190.0555560.9320990.027778
[22,24]23110.06790110.033951



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