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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 computationWed, 14 Dec 2011 11:27:44 -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/14/t1323880117uyg0nzlmhy7uujf.htm/, Retrieved Wed, 01 May 2024 19:10:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=155112, Retrieved Wed, 01 May 2024 19:10:51 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact84

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [] [2011-12-14 16:27:44] [ce4468323d272130d499477f5e05a6d2] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
41
39
50
40
43
38
44
35
39
35
29
49
50
59
63
32
39
47
53
60
57
52
70
90
74
62
55
84
94
70
108
139
120
97
126
149
158
124
140
109
114
77
120
133
110
92
97
78
99
107
112
90
98
125
155
190
236
189
174
178
136
161
171
149
184
155
276
224
213
279
268
287
238
213
257
293
212
246
353
339
308
247
257
322
298
273
312
249
286
279
309
401
309
328
353
354
327
324
285
243
241
287
355
460
364
487
452
391
500
451
375
372
302
316
398
394
431
431

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'AstonUniversity' @ aston.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 & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155112&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]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155112&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155112&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'AstonUniversity' @ aston.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0,50[25140.1186440.1186440.002373
[50,100[75240.203390.3220340.004068
[100,150[125170.1440680.4661020.002881
[150,200[175100.0847460.5508470.001695
[200,250[225110.093220.6440680.001864
[250,300[275130.1101690.7542370.002203
[300,350[325110.093220.8474580.001864
[350,400[375100.0847460.9322030.001695
[400,450[42530.0254240.9576270.000508
[450,500]47550.04237310.000847

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0,50[ & 25 & 14 & 0.118644 & 0.118644 & 0.002373 \tabularnewline
[50,100[ & 75 & 24 & 0.20339 & 0.322034 & 0.004068 \tabularnewline
[100,150[ & 125 & 17 & 0.144068 & 0.466102 & 0.002881 \tabularnewline
[150,200[ & 175 & 10 & 0.084746 & 0.550847 & 0.001695 \tabularnewline
[200,250[ & 225 & 11 & 0.09322 & 0.644068 & 0.001864 \tabularnewline
[250,300[ & 275 & 13 & 0.110169 & 0.754237 & 0.002203 \tabularnewline
[300,350[ & 325 & 11 & 0.09322 & 0.847458 & 0.001864 \tabularnewline
[350,400[ & 375 & 10 & 0.084746 & 0.932203 & 0.001695 \tabularnewline
[400,450[ & 425 & 3 & 0.025424 & 0.957627 & 0.000508 \tabularnewline
[450,500] & 475 & 5 & 0.042373 & 1 & 0.000847 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155112&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][0,50[[/C][C]25[/C][C]14[/C][C]0.118644[/C][C]0.118644[/C][C]0.002373[/C][/ROW]
[ROW][C][50,100[[/C][C]75[/C][C]24[/C][C]0.20339[/C][C]0.322034[/C][C]0.004068[/C][/ROW]
[ROW][C][100,150[[/C][C]125[/C][C]17[/C][C]0.144068[/C][C]0.466102[/C][C]0.002881[/C][/ROW]
[ROW][C][150,200[[/C][C]175[/C][C]10[/C][C]0.084746[/C][C]0.550847[/C][C]0.001695[/C][/ROW]
[ROW][C][200,250[[/C][C]225[/C][C]11[/C][C]0.09322[/C][C]0.644068[/C][C]0.001864[/C][/ROW]
[ROW][C][250,300[[/C][C]275[/C][C]13[/C][C]0.110169[/C][C]0.754237[/C][C]0.002203[/C][/ROW]
[ROW][C][300,350[[/C][C]325[/C][C]11[/C][C]0.09322[/C][C]0.847458[/C][C]0.001864[/C][/ROW]
[ROW][C][350,400[[/C][C]375[/C][C]10[/C][C]0.084746[/C][C]0.932203[/C][C]0.001695[/C][/ROW]
[ROW][C][400,450[[/C][C]425[/C][C]3[/C][C]0.025424[/C][C]0.957627[/C][C]0.000508[/C][/ROW]
[ROW][C][450,500][/C][C]475[/C][C]5[/C][C]0.042373[/C][C]1[/C][C]0.000847[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155112&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155112&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
[0,50[25140.1186440.1186440.002373
[50,100[75240.203390.3220340.004068
[100,150[125170.1440680.4661020.002881
[150,200[175100.0847460.5508470.001695
[200,250[225110.093220.6440680.001864
[250,300[275130.1101690.7542370.002203
[300,350[325110.093220.8474580.001864
[350,400[375100.0847460.9322030.001695
[400,450[42530.0254240.9576270.000508
[450,500]47550.04237310.000847


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 15 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 15 ; 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')
}