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Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Wed, 10 Dec 2014 12:04:38 +0000

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Dec/10/t1418213114szi5b9ho07s3p1m.htm/, Retrieved Tue, 28 May 2024 23:19:05 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=264984, Retrieved Tue, 28 May 2024 23:19:05 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-     [Histogram] [1.1 AMSI - histogram] [2014-12-09 11:36:56] [4d39cf209776852399955073f9d0ee7a]
- R  D    [Histogram] [1.1 Histogram I.F] [2014-12-10 12:04:38] [706bcb1d0c5210dc074174906fafd7a3] [Current]

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Dataseries X:

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Histogram

Boxplots

NA
NA
NA
NA
52
NA
NA
59
NA
52
44
NA
NA
NA
NA
NA
NA
NA
NA
60
NA
NA
NA
NA
NA
NA
59
NA
NA
NA
NA
NA
55
55
41
NA
51
52
50
NA
60
NA
NA
29
NA
NA
NA
55
64
40
46
NA
43
NA
51
NA
52
NA
66
61
NA
51
NA
NA
NA
NA
NA
25
NA
46
50
39
NA
58
NA
58
60
62
63
NA
NA
NA
NA
64
38
NA
48
48
47
66
NA
NA
58
44
NA
43
NA
NA
NA
45
NA
NA
NA
60
55
56
NA
NA
43
NA
NA
51
58
64
NA
NA
51
47
59
NA
NA
51
64
52
NA
NA
NA
NA
56
NA
NA
NA
71
50
NA
47
NA
NA
NA
43
NA
63
NA
NA
51
NA
22
NA
59
NA
66
53
NA
NA
54
NA
NA
53
NA
36
76
NA
NA
59
NA
55
58
NA
44
57
NA
NA
NA
57
NA
NA
NA
NA
58
NA
14
53
NA
49
NA
62
30
NA
56
NA
NA
48
55
35
NA
41
NA
NA
NA
NA
45
NA
47
NA
53
53
41
55
55
46
NA
NA
NA
59
39
44
60
57
NA
NA
NA
NA
46
NA
53
NA
NA
54
NA
45
60
47
50
66
60
NA
53
34
NA
NA
NA
NA
58
NA
NA
52
49
63
44
NA
52
60
53
53
52
31
NA
NA
NA
49
61
NA
62
NA
NA
NA
NA
NA
53
56
63
62
66
NA
45
58
NA
53
68
NA
58
NA
NA
58
NA
69
NA
46
NA
NA
NA
64
NA
NA
54
NA
NA
NA
NA
61
NA
69
64
NA
59
NA
NA
51
65
NA
NA
NA
NA
47
NA
NA
NA
NA
58
51
NA
41
NA
NA
64
NA
50
NA
55
59
NA
NA
NA
NA
77
60
NA
64
NA
46
NA
NA
NA
NA
NA
NA
NA
NA
54
NA
56
65
NA
NA
NA
NA
NA
NA
NA
56
NA
NA
NA
56
NA
NA
NA
NA
58
NA
NA
42
69
NA
NA
NA
NA
51
NA
64
NA
NA

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264984&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264984&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264984&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 Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Gwilym Jenkins' @ jenkins.wessa.net

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[10,15[	12.5	1	0.002618	0.002618	0.001183
[15,20[	17.5	0	0	0.002618	0
[20,25[	22.5	1	0.002618	0.005236	0.001183
[25,30[	27.5	2	0.005236	0.010471	0.002367
[30,35[	32.5	3	0.007853	0.018325	0.00355
[35,40[	37.5	5	0.013089	0.031414	0.005917
[40,45[	42.5	15	0.039267	0.070681	0.017751
[45,50[	47.5	22	0.057592	0.128272	0.026036
[50,55[	52.5	38	0.099476	0.227749	0.04497
[55,60[	57.5	39	0.102094	0.329843	0.046154
[60,65[	62.5	29	0.075916	0.405759	0.03432
[65,70[	67.5	11	0.028796	0.434555	0.013018
[70,75[	72.5	1	0.002618	0.437173	0.001183
[75,80]	77.5	2	0.005236	0.442408	0.002367

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[10,15[ & 12.5 & 1 & 0.002618 & 0.002618 & 0.001183 \tabularnewline
[15,20[ & 17.5 & 0 & 0 & 0.002618 & 0 \tabularnewline
[20,25[ & 22.5 & 1 & 0.002618 & 0.005236 & 0.001183 \tabularnewline
[25,30[ & 27.5 & 2 & 0.005236 & 0.010471 & 0.002367 \tabularnewline
[30,35[ & 32.5 & 3 & 0.007853 & 0.018325 & 0.00355 \tabularnewline
[35,40[ & 37.5 & 5 & 0.013089 & 0.031414 & 0.005917 \tabularnewline
[40,45[ & 42.5 & 15 & 0.039267 & 0.070681 & 0.017751 \tabularnewline
[45,50[ & 47.5 & 22 & 0.057592 & 0.128272 & 0.026036 \tabularnewline
[50,55[ & 52.5 & 38 & 0.099476 & 0.227749 & 0.04497 \tabularnewline
[55,60[ & 57.5 & 39 & 0.102094 & 0.329843 & 0.046154 \tabularnewline
[60,65[ & 62.5 & 29 & 0.075916 & 0.405759 & 0.03432 \tabularnewline
[65,70[ & 67.5 & 11 & 0.028796 & 0.434555 & 0.013018 \tabularnewline
[70,75[ & 72.5 & 1 & 0.002618 & 0.437173 & 0.001183 \tabularnewline
[75,80] & 77.5 & 2 & 0.005236 & 0.442408 & 0.002367 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264984&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][10,15[[/C][C]12.5[/C][C]1[/C][C]0.002618[/C][C]0.002618[/C][C]0.001183[/C][/ROW]
[ROW][C][15,20[[/C][C]17.5[/C][C]0[/C][C]0[/C][C]0.002618[/C][C]0[/C][/ROW]
[ROW][C][20,25[[/C][C]22.5[/C][C]1[/C][C]0.002618[/C][C]0.005236[/C][C]0.001183[/C][/ROW]
[ROW][C][25,30[[/C][C]27.5[/C][C]2[/C][C]0.005236[/C][C]0.010471[/C][C]0.002367[/C][/ROW]
[ROW][C][30,35[[/C][C]32.5[/C][C]3[/C][C]0.007853[/C][C]0.018325[/C][C]0.00355[/C][/ROW]
[ROW][C][35,40[[/C][C]37.5[/C][C]5[/C][C]0.013089[/C][C]0.031414[/C][C]0.005917[/C][/ROW]
[ROW][C][40,45[[/C][C]42.5[/C][C]15[/C][C]0.039267[/C][C]0.070681[/C][C]0.017751[/C][/ROW]
[ROW][C][45,50[[/C][C]47.5[/C][C]22[/C][C]0.057592[/C][C]0.128272[/C][C]0.026036[/C][/ROW]
[ROW][C][50,55[[/C][C]52.5[/C][C]38[/C][C]0.099476[/C][C]0.227749[/C][C]0.04497[/C][/ROW]
[ROW][C][55,60[[/C][C]57.5[/C][C]39[/C][C]0.102094[/C][C]0.329843[/C][C]0.046154[/C][/ROW]
[ROW][C][60,65[[/C][C]62.5[/C][C]29[/C][C]0.075916[/C][C]0.405759[/C][C]0.03432[/C][/ROW]
[ROW][C][65,70[[/C][C]67.5[/C][C]11[/C][C]0.028796[/C][C]0.434555[/C][C]0.013018[/C][/ROW]
[ROW][C][70,75[[/C][C]72.5[/C][C]1[/C][C]0.002618[/C][C]0.437173[/C][C]0.001183[/C][/ROW]
[ROW][C][75,80][/C][C]77.5[/C][C]2[/C][C]0.005236[/C][C]0.442408[/C][C]0.002367[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264984&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264984&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)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[10,15[	12.5	1	0.002618	0.002618	0.001183
[15,20[	17.5	0	0	0.002618	0
[20,25[	22.5	1	0.002618	0.005236	0.001183
[25,30[	27.5	2	0.005236	0.010471	0.002367
[30,35[	32.5	3	0.007853	0.018325	0.00355
[35,40[	37.5	5	0.013089	0.031414	0.005917
[40,45[	42.5	15	0.039267	0.070681	0.017751
[45,50[	47.5	22	0.057592	0.128272	0.026036
[50,55[	52.5	38	0.099476	0.227749	0.04497
[55,60[	57.5	39	0.102094	0.329843	0.046154
[60,65[	62.5	29	0.075916	0.405759	0.03432
[65,70[	67.5	11	0.028796	0.434555	0.013018
[70,75[	72.5	1	0.002618	0.437173	0.001183
[75,80]	77.5	2	0.005236	0.442408	0.002367

Figure 1

PNG link

Postscript link

PDF link

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):

par4 <- 'Unknown'
par3 <- 'FALSE'
par2 <- 'grey'
par1 <- ''
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')
}

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code