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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 computationThu, 05 Feb 2015 13:57:55 +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/2015/Feb/05/t1423144922xazoamxnrpsy42z.htm/, Retrieved Sat, 18 May 2024 13:06:13 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=276752, Retrieved Sat, 18 May 2024 13:06:13 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact64

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [gemiddeld aantal ...] [2015-02-05 13:57:55] [d4d789bd6635ea6f10ab86fa6020c964] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
80
81
82
83
84
85
86
87
88
89
90
91
92
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94
95
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97
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219
220
221
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230
231
232

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'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=276752&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=276752&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=276752&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'Herman Ole Andreas Wold' @ wold.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[80,100[90200.1307190.1307190.006536
[100,120[110200.1307190.2614380.006536
[120,140[130200.1307190.3921570.006536
[140,160[150200.1307190.5228760.006536
[160,180[170200.1307190.6535950.006536
[180,200[190200.1307190.7843140.006536
[200,220[210200.1307190.9150330.006536
[220,240]230130.08496710.004248

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[80,100[ & 90 & 20 & 0.130719 & 0.130719 & 0.006536 \tabularnewline
[100,120[ & 110 & 20 & 0.130719 & 0.261438 & 0.006536 \tabularnewline
[120,140[ & 130 & 20 & 0.130719 & 0.392157 & 0.006536 \tabularnewline
[140,160[ & 150 & 20 & 0.130719 & 0.522876 & 0.006536 \tabularnewline
[160,180[ & 170 & 20 & 0.130719 & 0.653595 & 0.006536 \tabularnewline
[180,200[ & 190 & 20 & 0.130719 & 0.784314 & 0.006536 \tabularnewline
[200,220[ & 210 & 20 & 0.130719 & 0.915033 & 0.006536 \tabularnewline
[220,240] & 230 & 13 & 0.084967 & 1 & 0.004248 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=276752&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][80,100[[/C][C]90[/C][C]20[/C][C]0.130719[/C][C]0.130719[/C][C]0.006536[/C][/ROW]
[ROW][C][100,120[[/C][C]110[/C][C]20[/C][C]0.130719[/C][C]0.261438[/C][C]0.006536[/C][/ROW]
[ROW][C][120,140[[/C][C]130[/C][C]20[/C][C]0.130719[/C][C]0.392157[/C][C]0.006536[/C][/ROW]
[ROW][C][140,160[[/C][C]150[/C][C]20[/C][C]0.130719[/C][C]0.522876[/C][C]0.006536[/C][/ROW]
[ROW][C][160,180[[/C][C]170[/C][C]20[/C][C]0.130719[/C][C]0.653595[/C][C]0.006536[/C][/ROW]
[ROW][C][180,200[[/C][C]190[/C][C]20[/C][C]0.130719[/C][C]0.784314[/C][C]0.006536[/C][/ROW]
[ROW][C][200,220[[/C][C]210[/C][C]20[/C][C]0.130719[/C][C]0.915033[/C][C]0.006536[/C][/ROW]
[ROW][C][220,240][/C][C]230[/C][C]13[/C][C]0.084967[/C][C]1[/C][C]0.004248[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=276752&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=276752&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
[80,100[90200.1307190.1307190.006536
[100,120[110200.1307190.2614380.006536
[120,140[130200.1307190.3921570.006536
[140,160[150200.1307190.5228760.006536
[160,180[170200.1307190.6535950.006536
[180,200[190200.1307190.7843140.006536
[200,220[210200.1307190.9150330.006536
[220,240]230130.08496710.004248


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')
}