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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 computationThu, 18 Dec 2014 12:48:03 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Dec/18/t14189068881c106k94ntdv98w.htm/, Retrieved Fri, 17 May 2024 01:30:47 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=270868, Retrieved Fri, 17 May 2024 01:30:47 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact86

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [] [2014-12-18 12:48:03] [58179e1d3a5a39b9daf58e365d8a3352] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
96
88
114
69
176
114
121
110
158
116
181
141
35
80
152
97
84
101
107
112
171
137
66
93
105
131
102
120
77
108
168
75
107
62
121
97
126
104
148
146
97
118
58
63
50
94
127
128
146
69
186
85
54
106
34
60
62
64
98
35
55
54
51

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'Sir Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270868&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270868&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270868&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'Sir Maurice George Kendall' @ kendall.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[20,40[3030.0476190.0476190.002381
[40,60[5060.0952380.1428570.004762
[60,80[70100.158730.3015870.007937
[80,100[90110.1746030.476190.00873
[100,120[110140.2222220.6984130.011111
[120,140[13080.1269840.8253970.006349
[140,160[15060.0952380.9206350.004762
[160,180[17030.0476190.9682540.002381
[180,200]19020.03174610.001587

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[20,40[ & 30 & 3 & 0.047619 & 0.047619 & 0.002381 \tabularnewline
[40,60[ & 50 & 6 & 0.095238 & 0.142857 & 0.004762 \tabularnewline
[60,80[ & 70 & 10 & 0.15873 & 0.301587 & 0.007937 \tabularnewline
[80,100[ & 90 & 11 & 0.174603 & 0.47619 & 0.00873 \tabularnewline
[100,120[ & 110 & 14 & 0.222222 & 0.698413 & 0.011111 \tabularnewline
[120,140[ & 130 & 8 & 0.126984 & 0.825397 & 0.006349 \tabularnewline
[140,160[ & 150 & 6 & 0.095238 & 0.920635 & 0.004762 \tabularnewline
[160,180[ & 170 & 3 & 0.047619 & 0.968254 & 0.002381 \tabularnewline
[180,200] & 190 & 2 & 0.031746 & 1 & 0.001587 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270868&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][20,40[[/C][C]30[/C][C]3[/C][C]0.047619[/C][C]0.047619[/C][C]0.002381[/C][/ROW]
[ROW][C][40,60[[/C][C]50[/C][C]6[/C][C]0.095238[/C][C]0.142857[/C][C]0.004762[/C][/ROW]
[ROW][C][60,80[[/C][C]70[/C][C]10[/C][C]0.15873[/C][C]0.301587[/C][C]0.007937[/C][/ROW]
[ROW][C][80,100[[/C][C]90[/C][C]11[/C][C]0.174603[/C][C]0.47619[/C][C]0.00873[/C][/ROW]
[ROW][C][100,120[[/C][C]110[/C][C]14[/C][C]0.222222[/C][C]0.698413[/C][C]0.011111[/C][/ROW]
[ROW][C][120,140[[/C][C]130[/C][C]8[/C][C]0.126984[/C][C]0.825397[/C][C]0.006349[/C][/ROW]
[ROW][C][140,160[[/C][C]150[/C][C]6[/C][C]0.095238[/C][C]0.920635[/C][C]0.004762[/C][/ROW]
[ROW][C][160,180[[/C][C]170[/C][C]3[/C][C]0.047619[/C][C]0.968254[/C][C]0.002381[/C][/ROW]
[ROW][C][180,200][/C][C]190[/C][C]2[/C][C]0.031746[/C][C]1[/C][C]0.001587[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270868&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270868&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
[20,40[3030.0476190.0476190.002381
[40,60[5060.0952380.1428570.004762
[60,80[70100.158730.3015870.007937
[80,100[90110.1746030.476190.00873
[100,120[110140.2222220.6984130.011111
[120,140[13080.1269840.8253970.006349
[140,160[15060.0952380.9206350.004762
[160,180[17030.0476190.9682540.002381
[180,200]19020.03174610.001587


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')
}