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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 computationMon, 12 Nov 2012 11:12:40 -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/2012/Nov/12/t1352736809jflq3twf5s50ao2.htm/, Retrieved Mon, 29 Apr 2024 15:03:17 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=188093, Retrieved Mon, 29 Apr 2024 15:03:17 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact65

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [web server] [2010-10-19 15:51:23] [b98453cac15ba1066b407e146608df68]
- RMPD    [Histogram] [histogram time an...] [2012-11-12 16:12:40] [239167cccea8953a8e1721fd6db07280] [Current]
- RMP       [Kernel Density Estimation] [Kernel density ti...] [2012-11-12 16:14:01] [dbdfdab7c884aa7a69290945f2923e51]
- RMP       [Harrell-Davis Quantiles] [harrel davis quan...] [2012-11-12 16:15:15] [dbdfdab7c884aa7a69290945f2923e51]
- RMP       [Central Tendency] [central tendencit...] [2012-11-12 16:16:24] [dbdfdab7c884aa7a69290945f2923e51]
- RMP       [Variability] [variability] [2012-11-12 16:17:17] [dbdfdab7c884aa7a69290945f2923e51]
- RMP       [Stem-and-leaf Plot] [stem and leaf plo...] [2012-11-12 16:17:53] [dbdfdab7c884aa7a69290945f2923e51]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
99
85
92
89
89
90
96
100
96
94
92
91
90
95
99
93
90
90
90
90
97
100
94
91
90
89
89
95
100
93
95
91
91
90
95
100
93
86
71
70
70
75
78
73
72
71
71
70
75
78
73
72
71
70
70
75
78
73
71
71
71
71
77
79
74
72
72
72
74
77
79
75
73
72
71
72
76
78
73
72
72
71
71
77
79
74
72
72
71

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=188093&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]2 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=188093&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=188093&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 time2 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[70,75[72.5360.4044940.4044940.080899
[75,80[77.5150.1685390.5730340.033708
[80,85[82.5000.5730340
[85,90[87.560.0674160.6404490.013483
[90,95[92.5190.2134830.8539330.042697
[95,100]97.5130.14606710.029213

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[70,75[ & 72.5 & 36 & 0.404494 & 0.404494 & 0.080899 \tabularnewline
[75,80[ & 77.5 & 15 & 0.168539 & 0.573034 & 0.033708 \tabularnewline
[80,85[ & 82.5 & 0 & 0 & 0.573034 & 0 \tabularnewline
[85,90[ & 87.5 & 6 & 0.067416 & 0.640449 & 0.013483 \tabularnewline
[90,95[ & 92.5 & 19 & 0.213483 & 0.853933 & 0.042697 \tabularnewline
[95,100] & 97.5 & 13 & 0.146067 & 1 & 0.029213 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=188093&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][70,75[[/C][C]72.5[/C][C]36[/C][C]0.404494[/C][C]0.404494[/C][C]0.080899[/C][/ROW]
[ROW][C][75,80[[/C][C]77.5[/C][C]15[/C][C]0.168539[/C][C]0.573034[/C][C]0.033708[/C][/ROW]
[ROW][C][80,85[[/C][C]82.5[/C][C]0[/C][C]0[/C][C]0.573034[/C][C]0[/C][/ROW]
[ROW][C][85,90[[/C][C]87.5[/C][C]6[/C][C]0.067416[/C][C]0.640449[/C][C]0.013483[/C][/ROW]
[ROW][C][90,95[[/C][C]92.5[/C][C]19[/C][C]0.213483[/C][C]0.853933[/C][C]0.042697[/C][/ROW]
[ROW][C][95,100][/C][C]97.5[/C][C]13[/C][C]0.146067[/C][C]1[/C][C]0.029213[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=188093&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=188093&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
[70,75[72.5360.4044940.4044940.080899
[75,80[77.5150.1685390.5730340.033708
[80,85[82.5000.5730340
[85,90[87.560.0674160.6404490.013483
[90,95[92.5190.2134830.8539330.042697
[95,100]97.5130.14606710.029213


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):
par4 <- 'Unknown'
par3 <- 'FALSE'
par2 <- 'grey'
par1 <- ''
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')
}