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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 computationMon, 12 Dec 2011 09:36:33 -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/Dec/12/t1323700601eydlvbgkfnte5u8.htm/, Retrieved Fri, 26 Apr 2024 08:37:42 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=153977, Retrieved Fri, 26 Apr 2024 08:37:42 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact104

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [Bad example of Hi...] [2010-09-25 09:28:23] [b98453cac15ba1066b407e146608df68]
- R     [Histogram] [] [2011-09-27 13:07:18] [f381152ed5e87cd86e751bfc27f55bf8]
- R  D    [Histogram] [] [2011-12-12 14:35:33] [0748461f029d231b348d2f525a63e360]
- R           [Histogram] [] [2011-12-12 14:36:33] [bd748940d7962893950720dfc8008aaa] [Current]
Feedback Forum

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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
34
30
38
34
25
31
29
18
30
29
40
50
33
46
38
52
32
35
25
42
40
35
25
46
36
35
38
35
28
37
40
42
44
33
38
37
41
32
17
38
33
35
32
35
45
38
26
45
44
40
33
4
41
18
14
36
49
32
37
32
43
25
42
37
33
28
31
40
32
25
42
23
42
38
34
39
32
37
34
33
25
45
26
40
8
27
32
37
50
41
37
38
28
36
32
32
33
35
58
27
45
37
32
19
22
35
36
36
23
40
40
42
1
36
11
40
34
0
27
8
35
44
40
28
8
36
47
48
45
48
49
35
32
36
42
35
42
34
41
36
32
33
35
21
42
49
33
39
0
0
0
0
0
0
33
45
0
0
0
5
1
38
0
28

Tables (Output of Computation)





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=153977&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=153977&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=153977&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 time1 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0,5[2.5140.0853660.0853660.017073
[5,10[7.540.024390.1097560.004878
[10,15[12.520.0121950.1219510.002439
[15,20[17.540.024390.1463410.004878
[20,25[22.540.024390.1707320.004878
[25,30[27.5180.1097560.2804880.021951
[30,35[32.5330.201220.4817070.040244
[35,40[37.5400.2439020.725610.04878
[40,45[42.5270.1646340.8902440.032927
[45,50[47.5140.0853660.975610.017073
[50,55[52.530.0182930.9939020.003659
[55,60]57.510.00609810.00122

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0,5[ & 2.5 & 14 & 0.085366 & 0.085366 & 0.017073 \tabularnewline
[5,10[ & 7.5 & 4 & 0.02439 & 0.109756 & 0.004878 \tabularnewline
[10,15[ & 12.5 & 2 & 0.012195 & 0.121951 & 0.002439 \tabularnewline
[15,20[ & 17.5 & 4 & 0.02439 & 0.146341 & 0.004878 \tabularnewline
[20,25[ & 22.5 & 4 & 0.02439 & 0.170732 & 0.004878 \tabularnewline
[25,30[ & 27.5 & 18 & 0.109756 & 0.280488 & 0.021951 \tabularnewline
[30,35[ & 32.5 & 33 & 0.20122 & 0.481707 & 0.040244 \tabularnewline
[35,40[ & 37.5 & 40 & 0.243902 & 0.72561 & 0.04878 \tabularnewline
[40,45[ & 42.5 & 27 & 0.164634 & 0.890244 & 0.032927 \tabularnewline
[45,50[ & 47.5 & 14 & 0.085366 & 0.97561 & 0.017073 \tabularnewline
[50,55[ & 52.5 & 3 & 0.018293 & 0.993902 & 0.003659 \tabularnewline
[55,60] & 57.5 & 1 & 0.006098 & 1 & 0.00122 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=153977&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]14[/C][C]0.085366[/C][C]0.085366[/C][C]0.017073[/C][/ROW]
[ROW][C][5,10[[/C][C]7.5[/C][C]4[/C][C]0.02439[/C][C]0.109756[/C][C]0.004878[/C][/ROW]
[ROW][C][10,15[[/C][C]12.5[/C][C]2[/C][C]0.012195[/C][C]0.121951[/C][C]0.002439[/C][/ROW]
[ROW][C][15,20[[/C][C]17.5[/C][C]4[/C][C]0.02439[/C][C]0.146341[/C][C]0.004878[/C][/ROW]
[ROW][C][20,25[[/C][C]22.5[/C][C]4[/C][C]0.02439[/C][C]0.170732[/C][C]0.004878[/C][/ROW]
[ROW][C][25,30[[/C][C]27.5[/C][C]18[/C][C]0.109756[/C][C]0.280488[/C][C]0.021951[/C][/ROW]
[ROW][C][30,35[[/C][C]32.5[/C][C]33[/C][C]0.20122[/C][C]0.481707[/C][C]0.040244[/C][/ROW]
[ROW][C][35,40[[/C][C]37.5[/C][C]40[/C][C]0.243902[/C][C]0.72561[/C][C]0.04878[/C][/ROW]
[ROW][C][40,45[[/C][C]42.5[/C][C]27[/C][C]0.164634[/C][C]0.890244[/C][C]0.032927[/C][/ROW]
[ROW][C][45,50[[/C][C]47.5[/C][C]14[/C][C]0.085366[/C][C]0.97561[/C][C]0.017073[/C][/ROW]
[ROW][C][50,55[[/C][C]52.5[/C][C]3[/C][C]0.018293[/C][C]0.993902[/C][C]0.003659[/C][/ROW]
[ROW][C][55,60][/C][C]57.5[/C][C]1[/C][C]0.006098[/C][C]1[/C][C]0.00122[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=153977&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=153977&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[2.5140.0853660.0853660.017073
[5,10[7.540.024390.1097560.004878
[10,15[12.520.0121950.1219510.002439
[15,20[17.540.024390.1463410.004878
[20,25[22.540.024390.1707320.004878
[25,30[27.5180.1097560.2804880.021951
[30,35[32.5330.201220.4817070.040244
[35,40[37.5400.2439020.725610.04878
[40,45[42.5270.1646340.8902440.032927
[45,50[47.5140.0853660.975610.017073
[50,55[52.530.0182930.9939020.003659
[55,60]57.510.00609810.00122


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')
}