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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 computationTue, 09 Dec 2014 11:53:27 +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/09/t1418126038b7npau0mqcyu0pf.htm/, Retrieved Thu, 16 May 2024 15:38:03 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=264494, Retrieved Thu, 16 May 2024 15:38:03 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact106
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Maximum-likelihood Fitting - Normal Distribution] [Intrinsic Motivat...] [2010-10-12 11:57:21] [b98453cac15ba1066b407e146608df68]
- RMP   [Maximum-likelihood Fitting - Normal Distribution] [] [2014-10-14 18:01:50] [32b17a345b130fdf5cc88718ed94a974]
- RMPD      [Histogram] [paper10] [2014-12-09 11:53:27] [0015a2406d94cac8c1a56a29b9122359] [Current]
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Dataseries X:
7
18
20
9
19
12
16
17
9
28
20
16
22
17
12
18
20
12
16
16
21
15
17
17
17
18
15
20
13
21
12
6
13
6
19
12
14
13
12
17
19
10
10
11
11
10
7
22
12
18
20
9
16
14
11
20
17
14
8
16
11
10
15
15
10
10
18
10
22
16
10
7
16
16
16
22
13
5
18
10
8
16
8
16
14
15
9
21
7
17
18
16
16
14
15
8
22
5
13
22
18
15
11
19
19
21
4
17
10
13
15
11
20
13
18
20
15
4
9
18
12
17
12
16
17
14
13
20
16
15
10
16
21
15
16
19
9
19
7
23
14
10
16
12
10
7
20
9
14
12
10
19
16
11
15
14
11
14
15
7
22
19
22
11
19
9
11
17
12
17
10
17
13
11
19
21
24
13
16
13
15
15
11
7
13
13
12
8
7
17
9
18
17
17
18
12
14
22
19
21
10
16
11
15
12
21
22
20
15
9
15
14
11
9
18
12
11
14
10
18
11
14
16
11
8
16
13
12
17
23
14
10
16
11
16
19
17
12
17
11
19
12
8
17
13
17
7
23
18
13
17
13
13
8
16
14
13
19
15
15
8
14
7
11
17
19
17
12
12
18
16
15
20
16
12
10
28
19
18
19
8
17
16
18
12
17
13
18
13
6
10
12
10
13
15
8
4
4
9
10
12
21
6
11
17
10
16
12
12
11
14
11
19
16
21
16
11
12
8
9
14
13
7
17
8
9
15
11
20
13
7
8
20
15
19
17
18
19
5
11
13
8
19
14
24
11
12
9
10
22
18
8
15
10
10
20
17
12
17
10
15
14
8
17
10
16
13
17
16
13
14
6
16
18
16
15
18
20
19
16
11
24
13
17
14
16
18
16
16
9
5
11
10
16
17
15
13
12
12
16
22
19
23
6
19
7
9
16
19
8
15
10
18
19
12
16
12
20
19
10
16
12
15
15
17
13
14
18
4
11
10
7
20
10
18
14
11
12
16
19
18
16
9
15
14
17
14
11
11
19
25
20
15
17
12
10
24
16
9
16
8
11
13
14
12
14
16
19
17
20
11
19
6
16
14
14
16
11
14
16
22
7
17
16
18
22
13
11
19
14
15
15
15
15
19
22
18
10




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.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 & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264494&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264494&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264494&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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[4,6[590.0180720.0180720.009036
[6,8[7230.0461850.0642570.023092
[8,10[9380.0763050.1405620.038153
[10,12[11720.1445780.2851410.072289
[12,14[13700.1405620.4257030.070281
[14,16[15700.1405620.5662650.070281
[16,18[17960.1927710.7590360.096386
[18,20[19640.1285140.887550.064257
[20,22[21300.0602410.9477910.03012
[22,24[23190.0381530.9859440.019076
[24,26[2550.010040.9959840.00502
[26,28]2720.00401610.002008

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[4,6[ & 5 & 9 & 0.018072 & 0.018072 & 0.009036 \tabularnewline
[6,8[ & 7 & 23 & 0.046185 & 0.064257 & 0.023092 \tabularnewline
[8,10[ & 9 & 38 & 0.076305 & 0.140562 & 0.038153 \tabularnewline
[10,12[ & 11 & 72 & 0.144578 & 0.285141 & 0.072289 \tabularnewline
[12,14[ & 13 & 70 & 0.140562 & 0.425703 & 0.070281 \tabularnewline
[14,16[ & 15 & 70 & 0.140562 & 0.566265 & 0.070281 \tabularnewline
[16,18[ & 17 & 96 & 0.192771 & 0.759036 & 0.096386 \tabularnewline
[18,20[ & 19 & 64 & 0.128514 & 0.88755 & 0.064257 \tabularnewline
[20,22[ & 21 & 30 & 0.060241 & 0.947791 & 0.03012 \tabularnewline
[22,24[ & 23 & 19 & 0.038153 & 0.985944 & 0.019076 \tabularnewline
[24,26[ & 25 & 5 & 0.01004 & 0.995984 & 0.00502 \tabularnewline
[26,28] & 27 & 2 & 0.004016 & 1 & 0.002008 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264494&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]9[/C][C]0.018072[/C][C]0.018072[/C][C]0.009036[/C][/ROW]
[ROW][C][6,8[[/C][C]7[/C][C]23[/C][C]0.046185[/C][C]0.064257[/C][C]0.023092[/C][/ROW]
[ROW][C][8,10[[/C][C]9[/C][C]38[/C][C]0.076305[/C][C]0.140562[/C][C]0.038153[/C][/ROW]
[ROW][C][10,12[[/C][C]11[/C][C]72[/C][C]0.144578[/C][C]0.285141[/C][C]0.072289[/C][/ROW]
[ROW][C][12,14[[/C][C]13[/C][C]70[/C][C]0.140562[/C][C]0.425703[/C][C]0.070281[/C][/ROW]
[ROW][C][14,16[[/C][C]15[/C][C]70[/C][C]0.140562[/C][C]0.566265[/C][C]0.070281[/C][/ROW]
[ROW][C][16,18[[/C][C]17[/C][C]96[/C][C]0.192771[/C][C]0.759036[/C][C]0.096386[/C][/ROW]
[ROW][C][18,20[[/C][C]19[/C][C]64[/C][C]0.128514[/C][C]0.88755[/C][C]0.064257[/C][/ROW]
[ROW][C][20,22[[/C][C]21[/C][C]30[/C][C]0.060241[/C][C]0.947791[/C][C]0.03012[/C][/ROW]
[ROW][C][22,24[[/C][C]23[/C][C]19[/C][C]0.038153[/C][C]0.985944[/C][C]0.019076[/C][/ROW]
[ROW][C][24,26[[/C][C]25[/C][C]5[/C][C]0.01004[/C][C]0.995984[/C][C]0.00502[/C][/ROW]
[ROW][C][26,28][/C][C]27[/C][C]2[/C][C]0.004016[/C][C]1[/C][C]0.002008[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264494&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264494&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[590.0180720.0180720.009036
[6,8[7230.0461850.0642570.023092
[8,10[9380.0763050.1405620.038153
[10,12[11720.1445780.2851410.072289
[12,14[13700.1405620.4257030.070281
[14,16[15700.1405620.5662650.070281
[16,18[17960.1927710.7590360.096386
[18,20[19640.1285140.887550.064257
[20,22[21300.0602410.9477910.03012
[22,24[23190.0381530.9859440.019076
[24,26[2550.010040.9959840.00502
[26,28]2720.00401610.002008



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.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')
}