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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationTue, 27 Sep 2011 11:57:22 -0400
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/Sep/27/t1317139134ijwpku88nx13c9p.htm/, Retrieved Fri, 03 May 2024 19:44:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=124464, Retrieved Fri, 03 May 2024 19:44:51 +0000
QR Codes:

Original text written by user:Bestellingen Boeing
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W1
Estimated Impact159

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Bestellingen Boeing] [2011-09-27 15:57:22] [e09593412f775de82555261d5bbd0b3f] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
20
32
11
14
199
162
88
89
24
36
142
193
39
25
95
144
33
131
31
24
160
52
57
210
13
52
96
133
74
131
129
74
127
55
175
185
34
115
95
58
63
56
70
32
32
14
6
23
18
4
6
17
20
20
44
32
20
14
9
59
10
47
43
34
5
49
130
10
117
108
17
55

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 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 & 0 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=124464&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]0 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=124464&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=124464&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 time0 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0,20[10150.2083330.2083330.010417
[20,40[30180.250.4583330.0125
[40,60[50120.1666670.6250.008333
[60,80[7040.0555560.6805560.002778
[80,100[9050.0694440.750.003472
[100,120[11030.0416670.7916670.002083
[120,140[13060.0833330.8750.004167
[140,160[15020.0277780.9027780.001389
[160,180[17030.0416670.9444440.002083
[180,200[19030.0416670.9861110.002083
[200,220]21010.01388910.000694

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0,20[ & 10 & 15 & 0.208333 & 0.208333 & 0.010417 \tabularnewline
[20,40[ & 30 & 18 & 0.25 & 0.458333 & 0.0125 \tabularnewline
[40,60[ & 50 & 12 & 0.166667 & 0.625 & 0.008333 \tabularnewline
[60,80[ & 70 & 4 & 0.055556 & 0.680556 & 0.002778 \tabularnewline
[80,100[ & 90 & 5 & 0.069444 & 0.75 & 0.003472 \tabularnewline
[100,120[ & 110 & 3 & 0.041667 & 0.791667 & 0.002083 \tabularnewline
[120,140[ & 130 & 6 & 0.083333 & 0.875 & 0.004167 \tabularnewline
[140,160[ & 150 & 2 & 0.027778 & 0.902778 & 0.001389 \tabularnewline
[160,180[ & 170 & 3 & 0.041667 & 0.944444 & 0.002083 \tabularnewline
[180,200[ & 190 & 3 & 0.041667 & 0.986111 & 0.002083 \tabularnewline
[200,220] & 210 & 1 & 0.013889 & 1 & 0.000694 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=124464&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][0,20[[/C][C]10[/C][C]15[/C][C]0.208333[/C][C]0.208333[/C][C]0.010417[/C][/ROW]
[ROW][C][20,40[[/C][C]30[/C][C]18[/C][C]0.25[/C][C]0.458333[/C][C]0.0125[/C][/ROW]
[ROW][C][40,60[[/C][C]50[/C][C]12[/C][C]0.166667[/C][C]0.625[/C][C]0.008333[/C][/ROW]
[ROW][C][60,80[[/C][C]70[/C][C]4[/C][C]0.055556[/C][C]0.680556[/C][C]0.002778[/C][/ROW]
[ROW][C][80,100[[/C][C]90[/C][C]5[/C][C]0.069444[/C][C]0.75[/C][C]0.003472[/C][/ROW]
[ROW][C][100,120[[/C][C]110[/C][C]3[/C][C]0.041667[/C][C]0.791667[/C][C]0.002083[/C][/ROW]
[ROW][C][120,140[[/C][C]130[/C][C]6[/C][C]0.083333[/C][C]0.875[/C][C]0.004167[/C][/ROW]
[ROW][C][140,160[[/C][C]150[/C][C]2[/C][C]0.027778[/C][C]0.902778[/C][C]0.001389[/C][/ROW]
[ROW][C][160,180[[/C][C]170[/C][C]3[/C][C]0.041667[/C][C]0.944444[/C][C]0.002083[/C][/ROW]
[ROW][C][180,200[[/C][C]190[/C][C]3[/C][C]0.041667[/C][C]0.986111[/C][C]0.002083[/C][/ROW]
[ROW][C][200,220][/C][C]210[/C][C]1[/C][C]0.013889[/C][C]1[/C][C]0.000694[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=124464&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=124464&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
[0,20[10150.2083330.2083330.010417
[20,40[30180.250.4583330.0125
[40,60[50120.1666670.6250.008333
[60,80[7040.0555560.6805560.002778
[80,100[9050.0694440.750.003472
[100,120[11030.0416670.7916670.002083
[120,140[13060.0833330.8750.004167
[140,160[15020.0277780.9027780.001389
[160,180[17030.0416670.9444440.002083
[180,200[19030.0416670.9861110.002083
[200,220]21010.01388910.000694


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')
}