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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 08:27:59 -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/t1322659687umflr508gneo6m0.htm/, Retrieved Thu, 28 Mar 2024 23:54:33 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=148947, Retrieved Thu, 28 Mar 2024 23:54:33 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact129
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [] [2011-11-30 13:27:59] [05d3841c0e91f0207133db830e88168b] [Current]
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Dataseries X:
23
20
20
21
24
22
23
20
25
23
27
27
22
24
25
22
28
28
27
25
16
28
21
24
27
14
14
27
20
21
22
21
12
20
24
19
28
23
27
22
27
26
22
21
19
24
19
26
22
28
21
23
28
10
24
21
21
24
24
25
25
23
21
16
17
25
24
23
25
23
28
26
22
19
26
18
18
25
27
12
15
21
23
22
21
24
27
22
28
26
10
19
22
21
24
25
21
20
21
24
23
18
24
24
19
20
18
20
27
23
26
23
17
21
25
23
27
24
20
27
21
24
21
15
25
25
22
24
21
22
23
22
20
23
25
23
22
25
26
22
24
24
25
20
26
21
26
21
22
16
26
28
18
25
23
21
20
25
22
21
16
18




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=148947&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=148947&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=148947&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
[10,12[1120.0123460.0123460.006173
[12,14[1320.0123460.0246910.006173
[14,16[1540.0246910.0493830.012346
[16,18[1760.0370370.086420.018519
[18,20[19120.0740740.1604940.037037
[20,22[21340.2098770.370370.104938
[22,24[23350.2160490.586420.108025
[24,26[25360.2222220.8086420.111111
[26,28]27310.19135810.095679

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[10,12[ & 11 & 2 & 0.012346 & 0.012346 & 0.006173 \tabularnewline
[12,14[ & 13 & 2 & 0.012346 & 0.024691 & 0.006173 \tabularnewline
[14,16[ & 15 & 4 & 0.024691 & 0.049383 & 0.012346 \tabularnewline
[16,18[ & 17 & 6 & 0.037037 & 0.08642 & 0.018519 \tabularnewline
[18,20[ & 19 & 12 & 0.074074 & 0.160494 & 0.037037 \tabularnewline
[20,22[ & 21 & 34 & 0.209877 & 0.37037 & 0.104938 \tabularnewline
[22,24[ & 23 & 35 & 0.216049 & 0.58642 & 0.108025 \tabularnewline
[24,26[ & 25 & 36 & 0.222222 & 0.808642 & 0.111111 \tabularnewline
[26,28] & 27 & 31 & 0.191358 & 1 & 0.095679 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=148947&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][10,12[[/C][C]11[/C][C]2[/C][C]0.012346[/C][C]0.012346[/C][C]0.006173[/C][/ROW]
[ROW][C][12,14[[/C][C]13[/C][C]2[/C][C]0.012346[/C][C]0.024691[/C][C]0.006173[/C][/ROW]
[ROW][C][14,16[[/C][C]15[/C][C]4[/C][C]0.024691[/C][C]0.049383[/C][C]0.012346[/C][/ROW]
[ROW][C][16,18[[/C][C]17[/C][C]6[/C][C]0.037037[/C][C]0.08642[/C][C]0.018519[/C][/ROW]
[ROW][C][18,20[[/C][C]19[/C][C]12[/C][C]0.074074[/C][C]0.160494[/C][C]0.037037[/C][/ROW]
[ROW][C][20,22[[/C][C]21[/C][C]34[/C][C]0.209877[/C][C]0.37037[/C][C]0.104938[/C][/ROW]
[ROW][C][22,24[[/C][C]23[/C][C]35[/C][C]0.216049[/C][C]0.58642[/C][C]0.108025[/C][/ROW]
[ROW][C][24,26[[/C][C]25[/C][C]36[/C][C]0.222222[/C][C]0.808642[/C][C]0.111111[/C][/ROW]
[ROW][C][26,28][/C][C]27[/C][C]31[/C][C]0.191358[/C][C]1[/C][C]0.095679[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=148947&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=148947&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
[10,12[1120.0123460.0123460.006173
[12,14[1320.0123460.0246910.006173
[14,16[1540.0246910.0493830.012346
[16,18[1760.0370370.086420.018519
[18,20[19120.0740740.1604940.037037
[20,22[21340.2098770.370370.104938
[22,24[23350.2160490.586420.108025
[24,26[25360.2222220.8086420.111111
[26,28]27310.19135810.095679



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')
}