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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationSun, 18 Nov 2012 09:29:00 -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/2012/Nov/18/t1353248954rhhb1ccmgf46sqx.htm/, Retrieved Mon, 29 Apr 2024 23:56:56 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=190191, Retrieved Mon, 29 Apr 2024 23:56:56 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact106

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [] [2012-11-18 14:29:00] [bdee33f3d7ceb254f97215ce68b6a08e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
32
51
42
41
46
47
37
49
45
47
49
33
42
33
53
36
45
54
41
36
41
44
33
37
52
47
43
44
45
44
49
33
43
54
42
44
37
43
46
42
45
44
33
31
42
40
43
46
42
45
44
40
37
46
36
47
45
42
43
43
32
45
45
31
33
49
42
41
38
42
44
33
48
40
50
49
43
44
47
33
46
0
45
43
44
47
45
42
33
43
46
33
46
48
47
47
43
46
48
46
45
45
52
42
47
41
47
43
33
30
49
44
55
11
47
53
33
44
42
55
33
46
54
47
45
47
55
44
53
44
42
40
46
40
46
53
33
42
35
40
41
33
51
53
46
55
47
38
46
46
53
47
41
44
43
51
33
43
53
51
50
46

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=190191&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]2 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=190191&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=190191&T=0

As an alternative you can also use a QR Code:  
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 time2 seconds
R Server'George Udny Yule' @ yule.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0,5[2.510.0061730.0061730.001235
[5,10[7.5000.0061730
[10,15[12.510.0061730.0123460.001235
[15,20[17.5000.0123460
[20,25[22.5000.0123460
[25,30[27.5000.0123460
[30,35[32.5210.129630.1419750.025926
[35,40[37.5100.0617280.2037040.012346
[40,45[42.5540.3333330.5370370.066667
[45,50[47.5530.327160.8641980.065432
[50,55]52.5220.13580210.02716

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0,5[ & 2.5 & 1 & 0.006173 & 0.006173 & 0.001235 \tabularnewline
[5,10[ & 7.5 & 0 & 0 & 0.006173 & 0 \tabularnewline
[10,15[ & 12.5 & 1 & 0.006173 & 0.012346 & 0.001235 \tabularnewline
[15,20[ & 17.5 & 0 & 0 & 0.012346 & 0 \tabularnewline
[20,25[ & 22.5 & 0 & 0 & 0.012346 & 0 \tabularnewline
[25,30[ & 27.5 & 0 & 0 & 0.012346 & 0 \tabularnewline
[30,35[ & 32.5 & 21 & 0.12963 & 0.141975 & 0.025926 \tabularnewline
[35,40[ & 37.5 & 10 & 0.061728 & 0.203704 & 0.012346 \tabularnewline
[40,45[ & 42.5 & 54 & 0.333333 & 0.537037 & 0.066667 \tabularnewline
[45,50[ & 47.5 & 53 & 0.32716 & 0.864198 & 0.065432 \tabularnewline
[50,55] & 52.5 & 22 & 0.135802 & 1 & 0.02716 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=190191&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][0,5[[/C][C]2.5[/C][C]1[/C][C]0.006173[/C][C]0.006173[/C][C]0.001235[/C][/ROW]
[ROW][C][5,10[[/C][C]7.5[/C][C]0[/C][C]0[/C][C]0.006173[/C][C]0[/C][/ROW]
[ROW][C][10,15[[/C][C]12.5[/C][C]1[/C][C]0.006173[/C][C]0.012346[/C][C]0.001235[/C][/ROW]
[ROW][C][15,20[[/C][C]17.5[/C][C]0[/C][C]0[/C][C]0.012346[/C][C]0[/C][/ROW]
[ROW][C][20,25[[/C][C]22.5[/C][C]0[/C][C]0[/C][C]0.012346[/C][C]0[/C][/ROW]
[ROW][C][25,30[[/C][C]27.5[/C][C]0[/C][C]0[/C][C]0.012346[/C][C]0[/C][/ROW]
[ROW][C][30,35[[/C][C]32.5[/C][C]21[/C][C]0.12963[/C][C]0.141975[/C][C]0.025926[/C][/ROW]
[ROW][C][35,40[[/C][C]37.5[/C][C]10[/C][C]0.061728[/C][C]0.203704[/C][C]0.012346[/C][/ROW]
[ROW][C][40,45[[/C][C]42.5[/C][C]54[/C][C]0.333333[/C][C]0.537037[/C][C]0.066667[/C][/ROW]
[ROW][C][45,50[[/C][C]47.5[/C][C]53[/C][C]0.32716[/C][C]0.864198[/C][C]0.065432[/C][/ROW]
[ROW][C][50,55][/C][C]52.5[/C][C]22[/C][C]0.135802[/C][C]1[/C][C]0.02716[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=190191&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=190191&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0,5[2.510.0061730.0061730.001235
[5,10[7.5000.0061730
[10,15[12.510.0061730.0123460.001235
[15,20[17.5000.0123460
[20,25[22.5000.0123460
[25,30[27.5000.0123460
[30,35[32.5210.129630.1419750.025926
[35,40[37.5100.0617280.2037040.012346
[40,45[42.5540.3333330.5370370.066667
[45,50[47.5530.327160.8641980.065432
[50,55]52.5220.13580210.02716


Figures (Output of Computation)

Input Parameters & R Code

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')
}