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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 computationFri, 03 Oct 2008 10:45:18 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Oct/03/t1223052422ye8u15fhdze1aws.htm/, Retrieved Sun, 19 May 2024 12:19:16 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=14954, Retrieved Sun, 19 May 2024 12:19:16 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact218

Tree of Dependent Computations

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

Dataseries X:
Download CSV
Histogram
Boxplots 
8
10
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13
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8
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1
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57
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28
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14
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99
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6
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99
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10
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99
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20
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99
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2
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88
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14
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1
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1
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70
12
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50
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99
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14
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12

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'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=14954&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=14954&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=14954&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'George Udny Yule' @ 72.249.76.132






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0,10]54240.4941720.4941720.049417
]10,20]154160.4848480.9790210.048485
]20,30]2510.0011660.9801860.000117
]30,40]35000.9801860
]40,50]4510.0011660.9813520.000117
]50,60]5510.0011660.9825170.000117
]60,70]6510.0011660.9836830.000117
]70,80]75000.9836830
]80,90]8510.0011660.9848480.000117
]90,100]95130.01515210.001515

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0,10] & 5 & 424 & 0.494172 & 0.494172 & 0.049417 \tabularnewline
]10,20] & 15 & 416 & 0.484848 & 0.979021 & 0.048485 \tabularnewline
]20,30] & 25 & 1 & 0.001166 & 0.980186 & 0.000117 \tabularnewline
]30,40] & 35 & 0 & 0 & 0.980186 & 0 \tabularnewline
]40,50] & 45 & 1 & 0.001166 & 0.981352 & 0.000117 \tabularnewline
]50,60] & 55 & 1 & 0.001166 & 0.982517 & 0.000117 \tabularnewline
]60,70] & 65 & 1 & 0.001166 & 0.983683 & 0.000117 \tabularnewline
]70,80] & 75 & 0 & 0 & 0.983683 & 0 \tabularnewline
]80,90] & 85 & 1 & 0.001166 & 0.984848 & 0.000117 \tabularnewline
]90,100] & 95 & 13 & 0.015152 & 1 & 0.001515 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=14954&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][0,10][/C][C]5[/C][C]424[/C][C]0.494172[/C][C]0.494172[/C][C]0.049417[/C][/ROW]
[ROW][C]]10,20][/C][C]15[/C][C]416[/C][C]0.484848[/C][C]0.979021[/C][C]0.048485[/C][/ROW]
[ROW][C]]20,30][/C][C]25[/C][C]1[/C][C]0.001166[/C][C]0.980186[/C][C]0.000117[/C][/ROW]
[ROW][C]]30,40][/C][C]35[/C][C]0[/C][C]0[/C][C]0.980186[/C][C]0[/C][/ROW]
[ROW][C]]40,50][/C][C]45[/C][C]1[/C][C]0.001166[/C][C]0.981352[/C][C]0.000117[/C][/ROW]
[ROW][C]]50,60][/C][C]55[/C][C]1[/C][C]0.001166[/C][C]0.982517[/C][C]0.000117[/C][/ROW]
[ROW][C]]60,70][/C][C]65[/C][C]1[/C][C]0.001166[/C][C]0.983683[/C][C]0.000117[/C][/ROW]
[ROW][C]]70,80][/C][C]75[/C][C]0[/C][C]0[/C][C]0.983683[/C][C]0[/C][/ROW]
[ROW][C]]80,90][/C][C]85[/C][C]1[/C][C]0.001166[/C][C]0.984848[/C][C]0.000117[/C][/ROW]
[ROW][C]]90,100][/C][C]95[/C][C]13[/C][C]0.015152[/C][C]1[/C][C]0.001515[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=14954&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=14954&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
[0,10]54240.4941720.4941720.049417
]10,20]154160.4848480.9790210.048485
]20,30]2510.0011660.9801860.000117
]30,40]35000.9801860
]40,50]4510.0011660.9813520.000117
]50,60]5510.0011660.9825170.000117
]60,70]6510.0011660.9836830.000117
]70,80]75000.9836830
]80,90]8510.0011660.9848480.000117
]90,100]95130.01515210.001515


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par2 = grey ; par3 = TRUE ; par4 = Unknown ;
Parameters (R input):
par1 = ; par2 = grey ; par3 = TRUE ; 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.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)
}
dev.off()
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')